Glassdoor gives you an inside look at what it&#x27;s like to work at HealthKart, including salaries, reviews, office photos, and more. This is the HealthKart company profile. All content is posted anonymously by employees working at HealthKart.

Working at HealthKart | Glassdoor

HealthKart | 130,766 followers on LinkedIn. Your partner for good health | HealthKart is a trusted house of brands with MuscleBlaze and HK Vitals being India’s no. 1 sports nutrition and online vitamin brands. HealthKart also offers a comprehensive range of products dedicated to the vegan ...

HealthKart | LinkedIn

HealthKart’s backstory is intriguing due to its association with the online pharmacy unicorn 1mg, previously known as HealthKartPlus. Both were set up by the parent company Bright Lifecare. While Maheshwari ran HealthKart, HealthKartPlus was headed by HealthKart’s Tandon, Gaurav Aggarwal ...

130+ Stores, 1K+ Brands, 40 Cities: How HealthKart Is Addressing ...

HealthKart offers fitness products and services to help consumers achieve their fitness goals. HealthKart also offers a comprehensive range of products dedicated to the vegan community, kids, and women for their wellness and fitness needs. The company started in 2011 and since then HealthKart ...

Healthkart - Crunchbase Company Profile & Funding

HealthKart offers health products online to help customers achieve fitness goals. Know about the Healthkart company, Healthkart founder, funding, revenue, and more.

HealthKart: How is it Offering Authentic Health Products Online?

HealthKart has 5 employees at their 1 location and $47 m in total funding,. See insights on HealthKart including office locations, competitors, revenue, financials, executives, subsidiaries and more at Craft.

HealthKart Company Profile - Office Locations, Competitors, Revenue, ...

HealthKart - Online store for health, sport, and nutritional supplements. Raised a total funding of $224M over 10 rounds from 20 investors. Valued at $370M. Founded by Sameer Maheshwari, Sameer Maheshwari and 1 other in the year 2011. HealthKart has 349 competitors.

HealthKart - Company Profile - Tracxn

The market is flooded with fake supplements or parallel imports that can cause harm to your body.

HealthKart: The platform to buy authentic products | Companies ...

Together, they decided to return to India and start a company in the healthcare space. ... A degree from Stanford or Harvard Business School would automatically win anybody tickets to a lucrative job. And it was no different for Sameer Maheshwari and Prashant Tandon. While the former is a Harvard graduate, the latter got his degree from Stanford. In fact, Maheshwari and Tandon quit their jobs to start, Healthkart...

Healthkart | How it Started

HealthKart is dedicated to providing everything that you will need in your journey towards a fitter you. From whey protein, vitamin c tablet, fat burners, mass gainers, weight gainers to herbal supplements like shatavari churna, to other bodybuilding supplements and nutritional supplements ...

HealthKart - India's #1 Authentic Online Supplement Store

HealthKart

healthkart

Is Artificial Intelligence in Healthcare a Ticking Time Bomb or Timely Solution?

Synthetic Data And Its Potential In Healthcare

البيانات الاصطناعية وإمكاناتها في مجال الرعاية الصحية

Сінтэтычныя дадзеныя і іх патэнцыял у ахове здароўя

সিন্থেটিক ডেটা এবং স্বাস্থ্যসেবায় এর সম্ভাব্যতা

Dades sintètiques i el seu potencial en l'assistència sanitària

Los datos sintéticos y su potencial en la atención sanitaria

合成データと医療におけるその可能性

Синтетикалык маалыматтар жана анын саламаттыкты сактоодогу потенциалы

Sintētiskie dati un to potenciāls veselības aprūpē

Синтетик өгөгдөл ба түүний эрүүл мэнд дэх боломж

Datha ya Maitirelo Le Bokgoni bja Yona Tlhokomelong ya Maphelo

Маълумоти синтетикӣ ва потенсиали он дар соҳаи тандурустӣ

Idatha yokwenziwa kunye nokubanakho kwayo kukhathalelo lwempilo

Jinesh Kumar Chinnathambi, a Solution Architect at a leading health insurance company, is using his real-world experience in the fields of Machine Learning (ML) and Artificial Intelligence (AI) to make the healthcare sector more patient-centric and improve patient care. People pursuing a career in healthcare IT are often driven by the aspiration to have a significant impact on people's lives. For Jinesh, the best way to do this in 2024 is by utilizing the problem-solving capabilities of technology to improve and streamline the healthcare industry. As he says, "The ever-changing healthcare landscape, with advancements such as Electronic Health Records (EHR), telemedicine, artificial intelligence, and predictive analytics transforming patient care, presents captivating challenges and opportunities for innovation. It provides the satisfaction of knowing that work in this field directly contributes to enhancing the quality, accessibility, and effectiveness of patient care, ultimately making healthcare more patient-centric." Combining the innovations and technologies in this healthcare IT, such as AI-driven diagnostics, predictive analytics, and personalized treatment plans, with the soft skills required in Healthcare roles, including problem-solving, analytical thinking, communication, and understanding of healthcare operations, has proven incredibly beneficial to both patients and healthcare professionals. Introducing Jinesh Kumar Chinnathambi Jinesh Kumar Chinnathambi's education began with a Bachelor's degree in computer science engineering, which gave him a strong foundation for his work in healthcare IT. During his studies, Jinesh focused on subjects at the intersection of technology and healthcare, including databases, data analysis, and healthcare systems. After graduating, he gained practical IT experience through entry-level roles and tech positions in the healthcare industry. He achieved further specialization in healthcare IT through certifications offered by AHIP (America's Health Insurance Plan) and has kept updated on new healthcare regulations, emerging technologies, and industry best practices to stay ahead of the curve. Networking with professionals, attending industry conferences, and keeping abreast of healthcare IT journals have provided valuable insights and helped him garner success in his career. As he says himself, "The journey into Healthcare IT involves a combination of education, practical experience, ongoing learning, and a dedication to enhancing healthcare delivery through technology." Jinesh has published numerous publications and pieces of academic research, including the well-received "Effective Cancer Recurrence Prediction using Healthcare Data Analytics with Machine Learning and Artificial Intelligence," "Leveraging Data Analytics with Artificial Intelligence to Detect and Close Health Care Gaps," “Harnessing Data Analytics and Artificial Intelligence in Healthcare,” and “Amplifying Big Data Utilization in Healthcare Analytics Through Cloud and Snowflake Migration.” His wide range of professional certifications and important achievements demonstrate his expertise in a highly competitive field. He is the only one of Elevance Health’s approximately 100,000 employees to hold four AWS certifications, including AWS Certified DevOps Professional, AWS Certified Solutions Architect Associate, AWS Certified Developer Associate, and AWS Certified SysOps Administrator Associate. He also holds a Sun Certified Java Professional (SCJP) certification and multiple America's Health Insurance Plans (AHIP) certifications, including Fundamentals of Healthcare Parts A and B and Basics of Managed Care Part A. In addition to all of this, Jinesh has been recognized with a 2024 Global Recognition Award for his notable healthcare and IT industry achievements. In August 2024, he also won the Cloud Innovator of the Year Award at the Business Innovation Awards 2024 in the Health Care/Information Technology category. This award recognizes outstanding achievements in cloud innovation. In addition to being awarded for his work, Jinesh was also named a judge for the Globee® Awards for Leadership in 2024, signifying a formal recognition of his commitment and significant contributions to his field, and received recognition for his role as judge at the Virginia Tech College Hackathon event. The Role of AI, ML, Data Analytics, Data Warehouses & Cloud Migration in Healthcare IT One of the major benefits of implementing technological advancements like AI and ML into healthcare IT is how they can be utilized to analyze vast amounts of healthcare data, accurately predict patient outcomes and improve treatment plans. A pivotal moment in Jinesh's IT career came with the advent of cloud computing, which reshaped the entire technology landscape. It was here, at the precipice of such a monumental technological change, that Jinesh realized just how beneficial such systems could be to the work he was doing. "Before the rise of cloud computing, businesses were required to establish, manage, and uphold their own expensive IT infrastructures,” recalls Jinesh. “Companies like Amazon, Google, and Microsoft began providing platforms that allowed access to databases, servers, software, and analytics via the internet. This led to a substantial reduction in the cost and complexity of IT operations, hastened innovation, and offered the flexibility to scale resources as needed. It empowered businesses to concentrate more on their core operations while leveraging state-of-the-art technology. Furthermore, cloud computing paved the way for a multitude of other technological advancements seen today, such as big data analytics and AI, which I am currently working on. It stands as a milestone that has redefined the possibilities of IT and continues to shape the future of technology." All of this works in tandem with the dedication of people in the healthcare field to craft a more patient-centric approach, providing personalized and timely care with revolutionary speed and precision. Real-World Studies and Applications By implementing these technological advancements into his established healthcare IT system, Jinesh has been able to successfully develop predictive analytics products to enhance patient care. His work has even been able to identify the signs and likelihood of cancer recurrence far earlier than previously thought possible, all thanks to data analytics, AI, and ML. By configuring AI models to run seamlessly on the cloud, Jinesh has contributed to accelerating predictive diagnoses, enhancing treatment plans, automating administrative tasks, and improving patient care. The strategic designs and technical expertise of solution architects are a vital part of shaping the future of AI-enabled, cloud-based healthcare systems. The impact of these projects has improved patient outcomes, reduced costs, improved efficiency, and helped to deliver more personalized care than ever before. Jinesh has worked tirelessly to guide and develop technology and tool solutions that improve data lineage adoption and governance by collaborating with technology partners to create a cloud-based data operation strategy. He oversaw a comprehensive cloud migration and data governance framework at Elevance Health, ensuring alignment with business objectives and HIPAA regulatory requirements, and also established a data council of senior executives across the enterprise to facilitate efficient collaboration on data initiatives. Furthermore, during his time at Elevance, he worked closely with the enterprise infrastructure and technology team to explore a cloud-based lake-house solution. Jinesh led the implementation of a data migration framework, including issue research, resolution processes, root cause analysis, reporting, data classifications and standards, and data quality validation and controls. He also developed a data governance framework to align with business objectives and HIPAA regulatory requirements, which supported the implementation of monolithic microservices for various use cases. He researched and recommended the appropriate Snowflake warehouse sizes after conducting several proofs of concept, resulting in optimal performance for middleware queries and reducing annual costs by 30%. One study estimated the national cost-savings in the United States from early diagnosis to be $26 billion per year. The Future of Healthcare Technology Jinesh's vision for the future of healthcare technology is one full of promise, continued improvement, and the potential to create a more patient-centric healthcare system that benefits everyone. He plans to work at the convergence of healthcare and technology to improve patient care by introducing new and advanced solutions and developing and managing Electronic Health Records (EHRs), health information exchanges, telemedicine services, and other initiatives to enhance healthcare coordination and accessibility, ultimately benefiting local communities. This will contribute to early disease detection, effective monitoring, decreased medical errors, and better communication between healthcare providers and patients. Jinesh Kumar Chinnathambi , a Solution Architect at a leading health insurance company, is using his real-world experience in the fields of Machine Learning (ML) and Artificial Intelligence (AI) to make the healthcare sector more patient-centric and improve patient care. Jinesh Kumar Chinnathambi Jinesh Kumar Chinnathambi People pursuing a career in healthcare IT are often driven by the aspiration to have a significant impact on people's lives. For Jinesh, the best way to do this in 2024 is by utilizing the problem-solving capabilities of technology to improve and streamline the healthcare industry. As he says, "The ever-changing healthcare landscape, with advancements such as Electronic Health Records (EHR), telemedicine, artificial intelligence, and predictive analytics transforming patient care, presents captivating challenges and opportunities for innovation. It provides the satisfaction of knowing that work in this field directly contributes to enhancing the quality, accessibility, and effectiveness of patient care, ultimately making healthcare more patient-centric." Combining the innovations and technologies in this healthcare IT, such as AI-driven diagnostics, predictive analytics, and personalized treatment plans, with the soft skills required in Healthcare roles, including problem-solving, analytical thinking, communication, and understanding of healthcare operations, has proven incredibly beneficial to both patients and healthcare professionals. Introducing Jinesh Kumar Chinnathambi Jinesh Kumar Chinnathambi's education began with a Bachelor's degree in computer science engineering, which gave him a strong foundation for his work in healthcare IT. During his studies, Jinesh focused on subjects at the intersection of technology and healthcare, including databases, data analysis, and healthcare systems. After graduating, he gained practical IT experience through entry-level roles and tech positions in the healthcare industry. He achieved further specialization in healthcare IT through certifications offered by AHIP (America's Health Insurance Plan) and has kept updated on new healthcare regulations, emerging technologies, and industry best practices to stay ahead of the curve. Networking with professionals, attending industry conferences, and keeping abreast of healthcare IT journals have provided valuable insights and helped him garner success in his career. As he says himself, "The journey into Healthcare IT involves a combination of education, practical experience, ongoing learning, and a dedication to enhancing healthcare delivery through technology." Jinesh has published numerous publications and pieces of academic research, including the well-received " Effective Cancer Recurrence Prediction using Healthcare Data Analytics with Machine Learning and Artificial Intelligence ," " Leveraging Data Analytics with Artificial Intelligence to Detect and Close Health Care Gaps ," “ Harnessing Data Analytics and Artificial Intelligence in Healthcare ,” and “ Amplifying Big Data Utilization in Healthcare Analytics Through Cloud and Snowflake Migration .” Effective Cancer Recurrence Prediction using Healthcare Data Analytics with Machine Learning and Artificial Intelligence Effective Cancer Recurrence Prediction using Healthcare Data Analytics with Machine Learning and Artificial Intelligence Leveraging Data Analytics with Artificial Intelligence to Detect and Close Health Care Gaps Leveraging Data Analytics with Artificial Intelligence to Detect and Close Health Care Gaps Harnessing Data Analytics and Artificial Intelligence in Healthcare Harnessing Data Analytics and Artificial Intelligence in Healthcare Amplifying Big Data Utilization in Healthcare Analytics Through Cloud and Snowflake Migration Amplifying Big Data Utilization in Healthcare Analytics Through Cloud and Snowflake Migration His wide range of professional certifications and important achievements demonstrate his expertise in a highly competitive field. He is the only one of Elevance Health’s approximately 100,000 employees to hold four AWS certifications, including AWS Certified DevOps Professional, AWS Certified Solutions Architect Associate, AWS Certified Developer Associate, and AWS Certified SysOps Administrator Associate. He also holds a Sun Certified Java Professional (SCJP) certification and multiple America's Health Insurance Plans (AHIP) certifications, including Fundamentals of Healthcare Parts A and B and Basics of Managed Care Part A. In addition to all of this, Jinesh has been recognized with a 2024 Global Recognition Award for his notable healthcare and IT industry achievements. Global Recognition Award Global Recognition Award In August 2024, he also won the Cloud Innovator of the Year Award at the Business Innovation Awards 2024 in the Health Care/Information Technology category. This award recognizes outstanding achievements in cloud innovation. In addition to being awarded for his work, Jinesh was also named a judge for the Globee® Awards for Leadership in 2024, signifying a formal recognition of his commitment and significant contributions to his field, and received recognition for his role as judge at the Virginia Tech College Hackathon event . Globee® Awards for Leadership Globee® Awards for Leadership Virginia Tech College Hackathon event Virginia Tech College Hackathon event The Role of AI, ML, Data Analytics, Data Warehouses & Cloud Migration in Healthcare IT One of the major benefits of implementing technological advancements like AI and ML into healthcare IT is how they can be utilized to analyze vast amounts of healthcare data, accurately predict patient outcomes and improve treatment plans. A pivotal moment in Jinesh's IT career came with the advent of cloud computing, which reshaped the entire technology landscape. It was here, at the precipice of such a monumental technological change, that Jinesh realized just how beneficial such systems could be to the work he was doing. "Before the rise of cloud computing, businesses were required to establish, manage, and uphold their own expensive IT infrastructures,” recalls Jinesh. “Companies like Amazon, Google, and Microsoft began providing platforms that allowed access to databases, servers, software, and analytics via the internet. This led to a substantial reduction in the cost and complexity of IT operations, hastened innovation, and offered the flexibility to scale resources as needed. It empowered businesses to concentrate more on their core operations while leveraging state-of-the-art technology. Furthermore, cloud computing paved the way for a multitude of other technological advancements seen today, such as big data analytics and AI, which I am currently working on. It stands as a milestone that has redefined the possibilities of IT and continues to shape the future of technology." All of this works in tandem with the dedication of people in the healthcare field to craft a more patient-centric approach, providing personalized and timely care with revolutionary speed and precision. Real-World Studies and Applications By implementing these technological advancements into his established healthcare IT system, Jinesh has been able to successfully develop predictive analytics products to enhance patient care. His work has even been able to identify the signs and likelihood of cancer recurrence far earlier than previously thought possible, all thanks to data analytics, AI, and ML. By configuring AI models to run seamlessly on the cloud, Jinesh has contributed to accelerating predictive diagnoses, enhancing treatment plans, automating administrative tasks, and improving patient care. The strategic designs and technical expertise of solution architects are a vital part of shaping the future of AI-enabled, cloud-based healthcare systems. The impact of these projects has improved patient outcomes, reduced costs, improved efficiency, and helped to deliver more personalized care than ever before. Jinesh has worked tirelessly to guide and develop technology and tool solutions that improve data lineage adoption and governance by collaborating with technology partners to create a cloud-based data operation strategy. He oversaw a comprehensive cloud migration and data governance framework at Elevance Health, ensuring alignment with business objectives and HIPAA regulatory requirements, and also established a data council of senior executives across the enterprise to facilitate efficient collaboration on data initiatives. Furthermore, during his time at Elevance, he worked closely with the enterprise infrastructure and technology team to explore a cloud-based lake-house solution. Jinesh led the implementation of a data migration framework, including issue research, resolution processes, root cause analysis, reporting, data classifications and standards, and data quality validation and controls. He also developed a data governance framework to align with business objectives and HIPAA regulatory requirements, which supported the implementation of monolithic microservices for various use cases. He researched and recommended the appropriate Snowflake warehouse sizes after conducting several proofs of concept, resulting in optimal performance for middleware queries and reducing annual costs by 30%. One study estimated the national cost-savings in the United States from early diagnosis to be $26 billion per year. One study estimated the national cost-savings One study estimated the national cost-savings The Future of Healthcare Technology Jinesh's vision for the future of healthcare technology is one full of promise, continued improvement, and the potential to create a more patient-centric healthcare system that benefits everyone. He plans to work at the convergence of healthcare and technology to improve patient care by introducing new and advanced solutions and developing and managing Electronic Health Records (EHRs), health information exchanges, telemedicine services, and other initiatives to enhance healthcare coordination and accessibility, ultimately benefiting local communities. This will contribute to early disease detection, effective monitoring, decreased medical errors, and better communication between healthcare providers and patients.

How AI and Machine Learning Are Making the Healthcare Sector More Patient-centric

እንዴት AI እና ማሽን መማር የጤና አጠባበቅ ሴክተሩን የበለጠ ታጋሽ ተኮር እያደረጉት ነው።

Süni intellekt və Maşın Öyrənməsi Səhiyyə Sektorunu necə daha xəstə mərkəzli edir

Com la IA i l'aprenentatge automàtic estan fent que el sector sanitari sigui més centrat en el pacient

Jak umělá inteligence a strojové učení dělají sektor zdravotnictví více zaměřený na pacienta

Cómo la IA y el aprendizaje automático están haciendo que el sector sanitario esté más centrado en el paciente

Comment l'IA et l'apprentissage automatique rendent le secteur de la santé plus centré sur le patient

Como a IA e a aprendizaxe automática están facendo que o sector sanitario sexa máis centrado no paciente

कैसे AI और मशीन लर्निंग स्वास्थ्य सेवा क्षेत्र को अधिक रोगी-केंद्रित बना रहे हैं

AIと機械学習が医療分野をより患者中心に変える

AI жана машинаны үйрөнүү кантип саламаттыкты сактоо секторун сабырдуураак кылат

Ndenge nini AI mpe Machine Learning Ezali Kosala ete Secteur ya Soins de Santé ezala mingi na ba malades

Paano Ginagawa ng AI at Machine Learning ang Sektor ng Pangangalagang Pangkalusugan na Mas Nakasentro sa Pasyente

Welcome to HackerNoon’s Startups of The Year 2024 interview series, spotlighting startups from around the world that are changing the way we live, one solution at a time. If you’ve been nominated, create a brand profile and answer these questions here.
Want to nominate a startup? Follow the steps here.Use the following sections to tell readers about your startup and get them to vote for you! These questions are designed to help tell readers about your company and vision and you do NOT need to answer all of them. Answer the ones that you feel can provide the most information.Looking for inspiration? Check out how other startups responded to last year’s Startups of The Year interview questions and examples of company responses here, here, and here. Wanna use this template? Click here. Hey Hackers![Insert your Startup name] has been nominated in HackerNoon’sStartups of The Year 2024 awards in [enter city name your startup is based], [country] under the Healthcare category. Please vote for us here: [insert URL to startup voting page for your city] [insert URL to startup voting page for your parent industry] [insert URL to startup voting page for your (3) sub industries] Read more about us below to understand why we deserve your vote. Meet [insert your startup name] Give us your elevator pitch
Share an image of your startup team, logo, product, etc. What Sets Your Startup Apart From Other Healthcare Startups? What makes your startup unique and stand out? What Have Been Your Proudest Accomplishments Thus Far? Time to brag! Let us know of your proudest achievements. What Lessons Have You Learned? What were some lessons learned from running your healthcare startup? Why Did You Decide to Participate in HackerNoon’s Startups of The Year Event? What Would It Mean For Your Startup if You Won? Let us know why you joined and what you hope to gain. What Future Plans Do You Have for Your Healthcare Startup? Where Do You See it in 3-4 Years? What do you envision for the future of your startup? How Has the Healthcare Sector Changed in Recent Years? How Do You Believe It Will Change in the Future? We want to hear about how your field has changed and how it will change in the future. Any Closing Words? Let the world know once more what your startup is all about and why they should vote for you in the 2024 Startups of The Year Awards. Vote for us today! [Insert link to startup voting page for your city, parent industry, or sub industry]. Welcome to HackerNoon’s Startups of The Year 2024 interview series, spotlighting startups from around the world that are changing the way we live, one solution at a time. If you’ve been nominated, create a brand profile and answer these questions here. Want to nominate a startup? Follow the steps here. Use the following sections to tell readers about your startup and get them to vote for you! These questions are designed to help tell readers about your company and vision and you do NOT need to answer all of them. Answer the ones that you feel can provide the most information. Looking for inspiration? Check out how other startups responded to last year’s Startups of The Year interview questions and examples of company responses here, here, and here. Welcome to HackerNoon’s Startups of The Year 2024 interview series, spotlighting startups from around the world that are changing the way we live, one solution at a time. If you’ve been nominated, create a brand profile and answer these questions here . Startups of The Year 2024 create a brand profile create a brand profile create a brand profile here here Want to nominate a startup? Follow the steps here . here here Use the following sections to tell readers about your startup and get them to vote for you! These questions are designed to help tell readers about your company and vision and you do NOT need to answer all of them. Answer the ones that you feel can provide the most information. you do NOT need to answer all of them. Answer the ones that you feel can provide the most information. Looking for inspiration? Check out how other startups responded to last year’s Startups of The Year interview questions and examples of company responses here, here, and here. Looking for inspiration? Check out how other startups responded to last year’s Startups of The Year interview questions and examples of company responses here , here , and here . last year’s Startups of The Year interview questions last year’s Startups of The Year interview questions here here here here here here Wanna use this template? Click here. Wanna use this template? Click here . here Hey Hackers! [Insert your Startup name] has been nominated in HackerNoon’s Startups of The Year 2024 awards in [enter city name your startup is based], [country] under the Healthcare category. Startups of The Year 2024 awards Healthcare Please vote for us here: Please vote for us here: [insert URL to startup voting page for your city] [insert URL to startup voting page for your parent industry] [insert URL to startup voting page for your (3) sub industries] Read more about us below to understand why we deserve your vote. Meet [insert your startup name] Meet [insert your startup name] Give us your elevator pitch
Share an image of your startup team, logo, product, etc. Give us your elevator pitch Share an image of your startup team, logo, product, etc. Give us your elevator pitch Share an image of your startup team, logo, product, etc. What Sets Your Startup Apart From Other Healthcare Startups? What makes your startup unique and stand out? What makes your startup unique and stand out? What Have Been Your Proudest Accomplishments Thus Far? Time to brag! Let us know of your proudest achievements. Time to brag! Let us know of your proudest achievements. What Lessons Have You Learned? What were some lessons learned from running your healthcare startup? What were some lessons learned from running your healthcare startup? Why Did You Decide to Participate in HackerNoon’s Startups of The Year Event? What Would It Mean For Your Startup if You Won? Let us know why you joined and what you hope to gain. Let us know why you joined and what you hope to gain. What Future Plans Do You Have for Your Healthcare Startup? Where Do You See it in 3-4 Years? What do you envision for the future of your startup? What do you envision for the future of your startup? How Has the Healthcare Sector Changed in Recent Years? How Do You Believe It Will Change in the Future? We want to hear about how your field has changed and how it will change in the future. We want to hear about how your field has changed and how it will change in the future. Any Closing Words? Let the world know once more what your startup is all about and why they should vote for you in the 2024 Startups of The Year Awards. Let the world know once more what your startup is all about and why they should vote for you in the 2024 Startups of The Year Awards. Vote for us today! [Insert link to startup voting page for your city, parent industry, or sub industry]. Vote for us today! [Insert link to startup voting page for your city, parent industry, or sub industry].

Startups of the Year 2024: Healthcare Interview

Healthcare Tech, Healthcare - October 10, 2024 - HackerNoon, the independent technology publishing platform, is pleased to announce the nominees for its annual “Startups of The Year” award, featuring the most promising and innovative companies in the Healthcare Tech startup ecosystem. The list, compiled by the HackerNoon team, showcases 30 startups making significant contributions and driving innovation in the Healthcare Tech industry. https://youtu.be/XOpG6B4AKPU?embedable=true Nominations are open - learn more here. You can nominate your company as the Startup of The Year in the Healthcare Tech industry here. The Startups in the Healthcare Tech industry nominated for Startups of The Year 2024 include: QUALITY HEALTHCARE CENTER
Your Cue
GUTolution
LonVi
HealingHand Tech
BioLinker
FoundationDx
Wassor Womanity
Lumena MindGym
Caare Foundation
Dimple Bindra
Mercurial AI
AGPHARM BIOINNOVATIONS LLP
PetPal PH
Secured Health
MedGos
Aicury
Biocell
Kobeesco
BetterSpace
Wuru
VitruvianMD
Glooma
STMPatch
CARÁ Health
Vuala
Forte Biotech - RAPID Aquaculture Diagnostics
Tenang AI
Alithea Bio
Mindcafe India “We are thrilled to recognize the top startups in the Healthcare Tech industry and celebrate their achievements,” said David Smooke, HackerNoon Founder & CEO. “Starting and sustaining a company is difficult. We’re honored to showcase their work and impact.” Why It Pays Off to Be Nominated Startups of The Year 2024 is a 100% community-driven voting event recognizing startups transforming technology and the world for the better. Starting October 1st, 2024, the internet can nominate and vote for the best ventures in their city and industry. People can nominate their favorite startups until October 31st, and vote once per day per award for who they think should be Startup of The Year up to March 31st, 2025. Winners will be announced in April 2025, after a comprehensive evaluation by the HackerNoon team. Apart from validation from the world's greenest tech publication, all nominees get free interviews relevant to their region and industry. They will also receive curated startup-friendly packages and a free version of their very own Evergreen Tech Company News Page on HackerNoon. In sum, being nominated gives you major credibility as one of the top startups globally and an expert in your industry, meaning even without winning, you still gain tons of exposure. Nominations are open - learn more here. You can nominate your company as the Startup of The Year in the Healthcare Tech industry here. About HackerNoon’s Startups of The Year Startups of The Year 2024 is HackerNoon’s flagship community-driven event celebrating startups, technology, and the spirit of innovation. Currently in its third iteration, the prestigious Internet award recognizes and celebrates tech startups of all shapes and sizes. This year, over 150,000 entities across 4200+ cities, 6 continents, and 100+ industries will participate in a bid to be crowned the best startup of the year! Millions of votes have been cast over the past few years, and many stories have been written about these daring and rising startups. The winners will get a free interview on HackerNoon and an Evergreen Tech Company News page. Visit our FAQ page to learn more. Download our design assets here. Check out the Startups of The Year Merch Shop here. HackerNoon’s Startups of The Year is a branding opportunity unlike any other. Whether your goal is brand awareness or lead generation, HackerNoon has curated startup-friendly packages to solve your marketing challenges. Meet our sponsors: Wellfound: Join the #1 global, startup-focused community. At Wellfound, we're not just a job board—we're the place where top startup talent and the world's most exciting companies connect to build the future. Notion: Notion is trusted and loved by thousands of startups as their connected workspace—from building product roadmaps to tracking fundraising. Try Notion with unlimited AI, FREE for up to 6 months, to build and scale your company with one powerful tool. Get your offer now! Hubspot: If you’re looking for a smart CRM platform that meets the needs of small businesses, look no further than HubSpot. Seamlessly connect your data, teams and customers in one easy-to-use scalable platform that grows with your business. Get started for free. Bright Data: Startups that leverage public web data can make faster, data-driven decisions, giving them a competitive edge. With Bright Data’s scalable web data collection, businesses can grow from a small operation to an enterprise by harnessing insights at every stage. Algolia: Algolia NeuralSearch is the world's only AI end-to-end Search and Discovery Platform combining powerful keyword and natural language processing in a single API. Healthcare Tech, Healthcare - October 10, 2024 - HackerNoon, the independent technology publishing platform, is pleased to announce the nominees for its annual “Startups of The Year” award, featuring the most promising and innovative companies in the Healthcare Tech startup ecosystem. Healthcare Tech, Healthcare - October 10, 2024 - HackerNoon, the independent technology publishing platform, is pleased to announce the nominees for its annual “Startups of The Year” award, featuring the most promising and innovative companies in the Healthcare Tech startup ecosystem. Healthcare Tech , Healthcare Healthcare Tech - October 10, 2024 - October 10, 2024 - HackerNoon, the independent technology publishing platform, is pleased to announce the nominees for its annual “ Startups of The Year ” award, featuring the most promising and innovative companies in the Startups of The Year startup ecosystem. The list, compiled by the HackerNoon team, showcases 30 startups making significant contributions and driving innovation in the Healthcare Tech industry. https://youtu.be/XOpG6B4AKPU?embedable=true https://youtu.be/XOpG6B4AKPU?embedable=true Nominations are open - learn more here. You can nominate your company as the Startup of The Year in the Healthcare Tech industry here. Nominations are open - learn more here . You can nominate your company as the Startup of The Year in the Healthcare Tech industry here . here Startup of The Year in Startup of The Year in the Healthcare Tech industry here here The Startups in the Healthcare Tech industry nominated for Startups of The Year 2024 include: Startups in Startups in Startups in the Healthcare Tech industry the Healthcare Tech industry nominated QUALITY HEALTHCARE CENTER Your Cue GUTolution LonVi HealingHand Tech BioLinker FoundationDx Wassor Womanity Lumena MindGym Caare Foundation Dimple Bindra Mercurial AI AGPHARM BIOINNOVATIONS LLP PetPal PH Secured Health MedGos Aicury Biocell Kobeesco BetterSpace Wuru VitruvianMD Glooma STMPatch CARÁ Health Vuala Forte Biotech - RAPID Aquaculture Diagnostics Tenang AI Alithea Bio Mindcafe India QUALITY HEALTHCARE CENTER Your Cue GUTolution LonVi HealingHand Tech BioLinker FoundationDx Wassor Womanity Lumena MindGym Caare Foundation Dimple Bindra Mercurial AI AGPHARM BIOINNOVATIONS LLP PetPal PH Secured Health MedGos Aicury Biocell Kobeesco BetterSpace Wuru VitruvianMD Glooma STMPatch CARÁ Health Vuala Forte Biotech - RAPID Aquaculture Diagnostics Tenang AI Alithea Bio Mindcafe India “We are thrilled to recognize the top startups in the Healthcare Tech industry and celebrate their achievements,” said David Smooke, HackerNoon Founder & CEO. “Starting and sustaining a company is difficult. We’re honored to showcase their work and impact.” “We are thrilled to recognize the top startups in the Healthcare Tech industry and celebrate their achievements,” said David Smooke, HackerNoon Founder & CEO. “Starting and sustaining a company is difficult. We’re honored to showcase their work and impact.” “We are thrilled to recognize the top startups in the Healthcare Tech industry and celebrate their achievements,” said David Smooke, HackerNoon Founder & CEO . “Starting and sustaining a company is difficult. We’re honored to showcase their work and impact.” David Smooke, HackerNoon Founder & CEO Why It Pays Off to Be Nominated Startups of The Year 2024 is a 100% community-driven voting event recognizing startups transforming technology and the world for the better. Starting October 1st, 2024, the internet can nominate and vote for the best ventures in their city and industry. People can nominate their favorite startups until October 31st , and vote once per day per award for who they think should be Startup of The Year up to March 31st, 2025. Winners will be announced in April 2025, after a comprehensive evaluation by the HackerNoon team. Startups of The Year 2024 nominate their favorite startups until October 31st nominate their favorite startups Apart from validation from the world's greenest tech publication, all nominees get free interviews relevant to their region and industry. They will also receive curated startup-friendly packages and a free version of their very own Evergreen Tech Company News Page on HackerNoon. get free interviews startup-friendly packages startup-friendly packages Evergreen Tech Company News Evergreen Tech Company News In sum, being nominated gives you major credibility as one of the top startups globally and an expert in your industry, meaning even without winning, you still gain tons of exposure. Nominations are open - learn more here. You can nominate your company as the Startup of The Year in the Healthcare Tech industry here. Nominations are open - learn more here . You can nominate your company as the Startup of The Year in the Healthcare Tech industry here . here Startup of The Year in Startup of The Year in the Healthcare Tech industry here here About HackerNoon’s Startups of The Year Startups of The Year 2024 is HackerNoon’s flagship community-driven event celebrating startups, technology, and the spirit of innovation. Currently in its third iteration, the prestigious Internet award recognizes and celebrates tech startups of all shapes and sizes. This year, over 150,000 entities across 4200+ cities, 6 continents, and 100+ industries will participate in a bid to be crowned the best startup of the year! Millions of votes have been cast over the past few years, and many stories have been written about these daring and rising startups. Startups of The Year 2024 Startups of The Year 2024 many stories many stories The winners will get a free interview on HackerNoon and an Evergreen Tech Company News page. free interview on HackerNoon Evergreen Tech Company News Evergreen Tech Company News Visit our FAQ page to learn more. FAQ FAQ Download our design assets here . here here Check out the Startups of The Year Merch Shop here . here here HackerNoon’s Startups of The Year is a branding opportunity unlike any other. Whether your goal is brand awareness or lead generation, HackerNoon has curated startup-friendly packages to solve your marketing challenges. startup-friendly packages startup-friendly packages Meet our sponsors: Meet our sponsors: Meet our sponsors: Wellfound: Join the #1 global, startup-focused community . At Wellfound, we're not just a job board—we're the place where top startup talent and the world's most exciting companies connect to build the future. Wellfound: Join the #1 global, startup-focused community Join the #1 global, startup-focused community Notion: Notion is trusted and loved by thousands of startups as their connected workspace—from building product roadmaps to tracking fundraising. Try Notion with unlimited AI, FREE for up to 6 months , to build and scale your company with one powerful tool. Get your offer now ! Notion: Try Notion with unlimited AI, FREE for up to 6 months Get your offer now ! Hubspot: If you’re looking for a smart CRM platform that meets the needs of small businesses, look no further than HubSpot. Seamlessly connect your data, teams and customers in one easy-to-use scalable platform that grows with your business. Get started for free . Hubspot: Get started for free Get started for free Bright Data: Startups that leverage public web data can make faster, data-driven decisions, giving them a competitive edge. With Bright Data’s scalable web data collection , businesses can grow from a small operation to an enterprise by harnessing insights at every stage. Bright Data: Bright Data’s scalable web data collection Bright Data’s scalable web data collection Algolia: Algolia NeuralSearch is the world's only AI end-to-end Search and Discovery Platform combining powerful keyword and natural language processing in a single API. Algolia: AI end-to-end Search and Discovery Platform AI end-to-end Search and Discovery Platform

Startups of the Year 2024: 5,508 Startups Nominated in the Healthcare Tech Industry

2024 maran qalltawinaka: 5.508 Qalltawinakaw Industria Tecnológica de Salud ukan sutinchata

Стартъпи на 2024 г.: 5 508 стартиращи фирми, номинирани в технологичната индустрия на здравеопазването

Startups del año 2024: 5.508 startups nominadas en la industria de tecnología sanitaria

स्टार्टअप्स ऑफ द ईयर 2024: हेल्थकेयर टेक इंडस्ट्री में 5,508 स्टार्टअप नामांकित

Startup Tahun 2024: 5.508 Startup Masuk Nominasi di Industri Teknologi Kesehatan

2024年のスタートアップ・オブ・ザ・イヤー：ヘルスケア・テック業界で5,508社のスタートアップがノミネート

2024 жылдың стартаптары: денсаулық сақтау саласындағы 5 508 стартап ұсынылды

2024년 올해의 스타트업: 헬스케어 기술 산업에 지명된 5,508개 스타트업

स्टार्टअप अफ द इयर २०२४: ५,५०८ स्टार्टअपहरू हेल्थकेयर टेक उद्योगमा मनोनीत

Стартапи године 2024: 5.508 стартапа номинованих у здравственој технолошкој индустрији

Årets startups 2024: 5 508 startups nominerade inom Healthcare Tech Industry

Mga Startup ng Taon 2024: 5,508 Startup na Nominado sa Healthcare Tech Industry

In our world today, artificial intelligence applications and models are becoming more and more important in the healthcare industry, opening up new avenues for individualized treatment. Customized nutrition as a field is one where AI is making waves. It’s majorly used to generate meal plans; these meal plans, in turn, are specific to a person/user’s goals and preferences as well as health concerns. By making nutrition more personalized, it helps in tackling these issues especially seeing that illnesses such as diabetes, obesity, and heart diseases are becoming common. Seeing this and in order to help tackle the issues, I developed an AI-Web Driven tool that helps generate meal plans that are personalized to each customer. With its customized diet, this project — which is presently a Minimum Viable Product (MVP) — illustrates how artificial intelligence (AI) might improve preventive healthcare. I will discuss the potential applications of AI-powered nutrition in this post, as well as how the Virtual Nutritionist may improve both individual and societal health. Why Personalized Nutrition Is Important For a long time, we have known that poor eating and diet habits are directly related to and cause a range of chronic illneses even when nutrition is highly personalized. What works for one person may not work for another, especially if that person is managing specific health conditions. Personalized nutrition acknowledges these differences and, with the help of AI, delivers dietary advice tailored to individual needs. The Virtual Nutritionist generates meal plans based on each user’s health profile, considering factors like dietary restrictions, caloric goals, and personal preferences. Individuals with diabetes, for instance, can be given meal plans low in sugar, and those who want to lose weight might be given recipes low in calories. Offering people tailored guidance like this encourages them to take charge of their health and enhances their long-term well-being. Building the Virtual Nutritionist The Virtual Nutritionist was created with the straightforward goal of enabling everyone to have access to personalized nutrition through AI. Constructed with Django, the application gathers information from users regarding their dietary choices and health objectives, subsequently producing meal plans that fit those requirements. The app has a wide range of possible uses, even if it is currently in MVP development. With time, the artificial intelligence (AI) underlying the app will be able to incorporate new nutritional research and health trends to make recommendations that are increasingly precise. The Potential Impact on Healthcare Public and individual health could be revolutionized by AI-powered nutrition. In order to improve health outcomes, the Virtual Nutritionist could do the following: Chronic Disease Management:
Meal plans are created to control symptoms and enhance quality of life and are beneficial for people with long-term diseases such as diabetes or heart disease. Preventive Healthcare:
The software offers a proactive strategy for preserving health for those in good health. Users may steer clear of common problems like obesity, which frequently serves as a signpost to more significant health issues, by following personalized meal programs. Scalable Solutions for Healthcare Providers:
With the help of AI-driven solutions like the Virtual Nutritionist, medical professionals, dietitians, and nutritionists can provide more patients with individualized guidance without having to spend time laboriously organizing meals by hand. The Future of Personalized Nutrition Looking forward, the Virtual Nutritionist has the potential to integrate with wearable devices like fitness trackers or smartwatches. This would allow the app to adjust meal plans based on real-time data, such as daily activity levels or sleep patterns. Additionally, disease-specific meal plans could be offered for individuals managing specific health concerns, like kidney disease or hypertension. Community engagement features could also be added, enabling users to share success stories, meal plans, or health goals. Such features would foster a sense of community and long-term commitment to healthy eating. A Call for Collaboration The application is an open-source project, and I would love to collaborate with other developers, data scientists, and healthcare professionals to help improve the app. The project is available on GitHub, and I welcome contributions that can expand its features, refine the AI model, or enhance the user experience. With the right contributions, the Virtual Nutritionist can become a more robust tool that not only improves personal health but also contributes to better public health outcomes. Conclusion The application illustrates how applying AI in progressive ways can help revolutionize nutrition, improve the overall healthcare of the users, and even improve preventive healthcare. Creating meal plans based on individual needs allows the users to make proper decisions for their health and well-being. Seeing that healthcare is evolving, and moving towards more proactive measures, artificial Intelligence is going to play a crucial role in helping users manage their health and build a future where personalized health solutions are accessible to everyone. In our world today, artificial intelligence applications and models are becoming more and more important in the healthcare industry, opening up new avenues for individualized treatment. Customized nutrition as a field is one where AI is making waves. It’s majorly used to generate meal plans; these meal plans, in turn, are specific to a person/user’s goals and preferences as well as health concerns. By making nutrition more personalized, it helps in tackling these issues especially seeing that illnesses such as diabetes, obesity, and heart diseases are becoming common. Seeing this and in order to help tackle the issues, I developed an AI-Web Driven tool that helps generate meal plans that are personalized to each customer. With its customized diet, this project — which is presently a Minimum Viable Product (MVP) — illustrates how artificial intelligence (AI) might improve preventive healthcare. I will discuss the potential applications of AI-powered nutrition in this post, as well as how the Virtual Nutritionist may improve both individual and societal health. Why Personalized Nutrition Is Important For a long time, we have known that poor eating and diet habits are directly related to and cause a range of chronic illneses even when nutrition is highly personalized. What works for one person may not work for another, especially if that person is managing specific health conditions. Personalized nutrition acknowledges these differences and, with the help of AI, delivers dietary advice tailored to individual needs. The Virtual Nutritionist generates meal plans based on each user’s health profile, considering factors like dietary restrictions, caloric goals, and personal preferences. Individuals with diabetes, for instance, can be given meal plans low in sugar, and those who want to lose weight might be given recipes low in calories. Offering people tailored guidance like this encourages them to take charge of their health and enhances their long-term well-being. Building the Virtual Nutritionist The Virtual Nutritionist was created with the straightforward goal of enabling everyone to have access to personalized nutrition through AI. Constructed with Django, the application gathers information from users regarding their dietary choices and health objectives, subsequently producing meal plans that fit those requirements. The app has a wide range of possible uses, even if it is currently in MVP development. With time, the artificial intelligence (AI) underlying the app will be able to incorporate new nutritional research and health trends to make recommendations that are increasingly precise. The Potential Impact on Healthcare Public and individual health could be revolutionized by AI-powered nutrition. In order to improve health outcomes, the Virtual Nutritionist could do the following: Chronic Disease Management:
Meal plans are created to control symptoms and enhance quality of life and are beneficial for people with long-term diseases such as diabetes or heart disease. Chronic Disease Management: Meal plans are created to control symptoms and enhance quality of life and are beneficial for people with long-term diseases such as diabetes or heart disease. Chronic Disease Management: Chronic Disease Management: Meal plans are created to control symptoms and enhance quality of life and are beneficial for people with long-term diseases such as diabetes or heart disease. Preventive Healthcare:
The software offers a proactive strategy for preserving health for those in good health. Users may steer clear of common problems like obesity, which frequently serves as a signpost to more significant health issues, by following personalized meal programs. Preventive Healthcare: The software offers a proactive strategy for preserving health for those in good health. Users may steer clear of common problems like obesity, which frequently serves as a signpost to more significant health issues, by following personalized meal programs. Preventive Healthcare: Preventive Healthcare: The software offers a proactive strategy for preserving health for those in good health. Users may steer clear of common problems like obesity, which frequently serves as a signpost to more significant health issues, by following personalized meal programs. Scalable Solutions for Healthcare Providers:
With the help of AI-driven solutions like the Virtual Nutritionist, medical professionals, dietitians, and nutritionists can provide more patients with individualized guidance without having to spend time laboriously organizing meals by hand. Scalable Solutions for Healthcare Providers: With the help of AI-driven solutions like the Virtual Nutritionist, medical professionals, dietitians, and nutritionists can provide more patients with individualized guidance without having to spend time laboriously organizing meals by hand. Scalable Solutions for Healthcare Providers: Scalable Solutions for Healthcare Providers: With the help of AI-driven solutions like the Virtual Nutritionist, medical professionals, dietitians, and nutritionists can provide more patients with individualized guidance without having to spend time laboriously organizing meals by hand. The Future of Personalized Nutrition The Future of Personalized Nutrition Looking forward, the Virtual Nutritionist has the potential to integrate with wearable devices like fitness trackers or smartwatches. This would allow the app to adjust meal plans based on real-time data, such as daily activity levels or sleep patterns. Additionally, disease-specific meal plans could be offered for individuals managing specific health concerns, like kidney disease or hypertension. Community engagement features could also be added, enabling users to share success stories, meal plans, or health goals. Such features would foster a sense of community and long-term commitment to healthy eating. A Call for Collaboration A Call for Collaboration The application is an open-source project, and I would love to collaborate with other developers, data scientists, and healthcare professionals to help improve the app. The project is available on GitHub , and I welcome contributions that can expand its features, refine the AI model, or enhance the user experience. GitHub GitHub With the right contributions, the Virtual Nutritionist can become a more robust tool that not only improves personal health but also contributes to better public health outcomes. Conclusion Conclusion The application illustrates how applying AI in progressive ways can help revolutionize nutrition, improve the overall healthcare of the users, and even improve preventive healthcare. Creating meal plans based on individual needs allows the users to make proper decisions for their health and well-being. Seeing that healthcare is evolving, and moving towards more proactive measures, artificial Intelligence is going to play a crucial role in helping users manage their health and build a future where personalized health solutions are accessible to everyone.

The Future of Healthcare: How AI Is Revolutionizing Personalized Nutrition

We are all aware that AI is a hot button topic at the moment. It is something that’s attributed to just about everything, from deep fakes to stand up comedy, but how can AI help change the healthcare system in America? I recently sat down with Ramya Ganti, a tech expert in the healthcare space and the CEO of BabySteps, a women’s health startup. She has years of experience in expanding access to healthcare across the country, and offers insights into the field. Her work experience is vast, starting in a teaching hospital at Vanderbilt, and then expanding into AI and health tech fields with Thoughtful AI and Fortune 500 company BCG. She believes in creating a more efficient healthcare system that passes the savings along to the patients. Decluttering the system, and creating less confusion are at the core of Ganti’s beliefs and she was very thorough in her analysis of the United States healthcare system. Below is my best summation of what she said and how AI will help to build a stronger healthcare system that will ultimately benefit the people that matter the most: patients. What Is the Big Issue? “It all starts with an understanding of one of the biggest issues facing the healthcare system, and that issue has always been lack of efficiency,” said Ganti. “There are so many tasks that take up the time of doctors and hospital administrators that can be streamlined by the use of advanced technology such as AI.” Let’s begin by looking at a few examples she laid out for me. AI will help to speed up finding out what the diagnosis is for each patient, as well as accelerate drug development. Off to a good start already, but also it helps to streamline clinical trials, which leads to a more efficient delivery system. It can even help to automate the biggest system cloggers, administrative tasks, which in her words, “reduces the burden on healthcare providers allowing them to focus more on patient care.” Patient care is key, let’s face it. These efficiencies are welcomed on both sides, as it reduces the cost for the healthcare providers, allowing the trickle down effect of making healthcare more affordable for the patients. So what does the efficiency actually look like? Increasing Efficiency According to a Citigroup report, there will be a 25 to 30 percent reduction in administrative costs, thanks to an increase in automation of administrative tasks. AI-powered image analysis can help speed up disease detection by up to 90 percent, which leads to accelerated diagnosis leading to faster response times to medical issues. It helps nurses, too. A 30 percent offload in administrative tasks helps allow nurses to focus more on patient care and less on paperwork, according to Accenture research. Healthcare is one field where the use of AI increases the person-to-person contact. It does so by more accurately matching patients with doctors. Ganti believes heavily in the use of AI chatbots to help give research-backed answers 24/7. She says “I’m excited to see the significant impact this innovation will have.” For decades, the thought of not talking with another human being was looked down upon, but the innovation surrounding AI chatbots allows for a more efficient solution. Ganti sees a number of positive effects these chatbots are having. For example, they offer round the clock access to information, which reduces the unnecessary trips to the emergency room. Allowing patients to input their symptoms and get a preliminary assessment allows them to learn the severity of their illness, and whether a doctor's visit is required, saving money, especially for self-pay patients. And that’s not all, AI chatbots can also help with appointment scheduling once again helping to reduce administrative duties in the office. Now we know how AI is currently helping but what’s next? We are on the cusp of improving the healthcare system beyond what we had ever imagined. The next step in AI involves a deeper level of integration and personalization, and it's a major step with massive benefits for both patients and hospitals. AI can truly help with all levels of personal care. “We can see AI systems put into place that continuously analyze patient data to detect early warning signs of deterioration, as well as helping support clinicians in managing chronic conditions such as diabetes and cancer,” said Ganti. But it goes even beyond that. Operations efficiency, something that has lagged with overburdened hospitals, will improve. Predicting patient volume, resource allocation and even supply chain management, are all tasks more suited for an AI program. Ganti circles back to one of the biggest issues that hospitals face: “AI will aid with administrative duties through Robotic Process Automation, freeing up the staff for more patient care,” she said. “More time spent with patients is a fundamental benefit of integrating AI into hospitals.” Looking into the future, AI can help through augmenting intelligence. This will empower healthcare professionals and help to enhance their capabilities. It will go a step further, Ganti believes, by “ensuring AI systems are designed to complement human expertise and workflow.” Finally, getting to the heart of one of the major issues that has plagued the American healthcare system, is the wait times at doctor’s offices and hospitals. There is nothing worse than knowing you are having a health problem, but having to wait for something to be done about it. So, where does that leave the American healthcare system? We’re on the precipice of a new era, says Ganti, one driven by data analytics and a higher emphasis given to human interaction. In Ganti’s own words” “The future of healthcare will be marked by more precise, data-driven decision-making and significant financial savings,” she said. “Embracing these innovations today will pave the way for a more efficient, cost-effective healthcare system tomorrow.” We are all aware that AI is a hot button topic at the moment. It is something that’s attributed to just about everything, from deep fakes to stand up comedy, but how can AI help change the healthcare system in America? I recently sat down with Ramya Ganti, a tech expert in the healthcare space and the CEO of BabySteps, a women’s health startup. She has years of experience in expanding access to healthcare across the country, and offers insights into the field. Her work experience is vast, starting in a teaching hospital at Vanderbilt, and then expanding into AI and health tech fields with Thoughtful AI and Fortune 500 company BCG. She believes in creating a more efficient healthcare system that passes the savings along to the patients. Decluttering the system, and creating less confusion are at the core of Ganti’s beliefs and she was very thorough in her analysis of the United States healthcare system. Below is my best summation of what she said and how AI will help to build a stronger healthcare system that will ultimately benefit the people that matter the most: patients. What Is the Big Issue? What Is the Big Issue? “It all starts with an understanding of one of the biggest issues facing the healthcare system, and that issue has always been lack of efficiency,” said Ganti. “There are so many tasks that take up the time of doctors and hospital administrators that can be streamlined by the use of advanced technology such as AI.” Let’s begin by looking at a few examples she laid out for me. AI will help to speed up finding out what the diagnosis is for each patient, as well as accelerate drug development. Off to a good start already, but also it helps to streamline clinical trials, which leads to a more efficient delivery system. It can even help to automate the biggest system cloggers, administrative tasks, which in her words, “reduces the burden on healthcare providers allowing them to focus more on patient care.” Patient care is key, let’s face it. These efficiencies are welcomed on both sides, as it reduces the cost for the healthcare providers, allowing the trickle down effect of making healthcare more affordable for the patients. So what does the efficiency actually look like? Increasing Efficiency Increasing Efficiency According to a Citigroup report , there will be a 25 to 30 percent reduction in administrative costs, thanks to an increase in automation of administrative tasks. a Citigroup report a Citigroup report AI-powered image analysis can help speed up disease detection by up to 90 percent, which leads to accelerated diagnosis leading to faster response times to medical issues. It helps nurses, too. A 30 percent offload in administrative tasks helps allow nurses to focus more on patient care and less on paperwork, according to Accenture research . Accenture research Accenture research Healthcare is one field where the use of AI increases the person-to-person contact. It does so by more accurately matching patients with doctors. Ganti believes heavily in the use of AI chatbots to help give research-backed answers 24/7. She says “I’m excited to see the significant impact this innovation will have.” For decades, the thought of not talking with another human being was looked down upon, but the innovation surrounding AI chatbots allows for a more efficient solution. Ganti sees a number of positive effects these chatbots are having. For example, they offer round the clock access to information, which reduces the unnecessary trips to the emergency room. Allowing patients to input their symptoms and get a preliminary assessment allows them to learn the severity of their illness, and whether a doctor's visit is required, saving money, especially for self-pay patients. And that’s not all, AI chatbots can also help with appointment scheduling once again helping to reduce administrative duties in the office. Now we know how AI is currently helping but what’s next? We are on the cusp of improving the healthcare system beyond what we had ever imagined. The next step in AI involves a deeper level of integration and personalization, and it's a major step with massive benefits for both patients and hospitals. AI can truly help with all levels of personal care. “We can see AI systems put into place that continuously analyze patient data to detect early warning signs of deterioration, as well as helping support clinicians in managing chronic conditions such as diabetes and cancer,” said Ganti. But it goes even beyond that. But it goes even beyond that. Operations efficiency, something that has lagged with overburdened hospitals, will improve. Predicting patient volume, resource allocation and even supply chain management, are all tasks more suited for an AI program. Ganti circles back to one of the biggest issues that hospitals face: “AI will aid with administrative duties through Robotic Process Automation, freeing up the staff for more patient care,” she said. “More time spent with patients is a fundamental benefit of integrating AI into hospitals.” Looking into the future, AI can help through augmenting intelligence. This will empower healthcare professionals and help to enhance their capabilities. It will go a step further, Ganti believes, by “ensuring AI systems are designed to complement human expertise and workflow.” Finally, getting to the heart of one of the major issues that has plagued the American healthcare system, is the wait times at doctor’s offices and hospitals. There is nothing worse than knowing you are having a health problem, but having to wait for something to be done about it. So, where does that leave the American healthcare system? So, where does that leave the American healthcare system? We’re on the precipice of a new era, says Ganti, one driven by data analytics and a higher emphasis given to human interaction. In Ganti’s own words” “The future of healthcare will be marked by more precise, data-driven decision-making and significant financial savings,” she said. “Embracing these innovations today will pave the way for a more efficient, cost-effective healthcare system tomorrow.”

How Artificial Intelligence Will Actually Change The Healthcare System in America

Artificial Intelligence (AI) in healthcare has long captured our imagination, fueled by portrayals in movies and TV shows where robotic surgeons and virtual assistants are the norm. But beyond science fiction, AI has profoundly impacted real-world healthcare. As it has evolved over the years, AI has transformed from an ambitious idea into a powerful tool, reshaping how we deliver care. The Three Waves of AI in Healthcare​ The journey of AI in healthcare can be categorized into three distinct waves: 1. The First Wave: Foundations and Early Exploration​ The first wave emerged in the aftermath of World War II with the introduction of Machine Learning and the coining of the term "Artificial Intelligence." During this period, foundational concepts like the Turing Test were developed, laying the groundwork for future advancements. While the early stages of AI were exploratory, they set the stage for what was to come. Colossus was the world's first electronic programmable computer, at Bletchley Park in Bedfordshire. Bletchley Park Trust/Science & Society Picture Library via Chris Monk 2. The Second Wave: Expert Systems and Rule-Based AI​ The second wave, spanning the 1980s, was marked by the development of expert systems such as MYCIN and DXPlain. These systems aimed to mimic human decision-making using large sets of rules to provide medical recommendations. However, their potential was limited by the complexity of managing thousands of interacting rules and the constraints of the data available at the time, which primarily came from textbooks and human experts. DXPlain, one of the pioneering expert systems in healthcare, aimed to emulate human decision-making. 3. The Third Wave: AI Renaissance & ChatGPT​ The third and current wave of AI began in the 2010s, characterized by the introduction of deep learning and neural networks. This era has been driven by the availability of large datasets, advances in computing power (especially GPUs), and innovative architectures like transformers which gave AI the ability to understand bodies of text as a whole versus just sequences of words. The "Attention is All You Need" paper introduced the transformer architecture, revolutionizing natural language processing. The release of models like GPT-3 and ChatGPT has revolutionized natural language processing and catalyzed the development of AI-driven applications in healthcare, enabling conversational agents, predictive analytics, and personalized care. These same technologies are now being deployed to assist clinicians through prepopulating notes, automating repetitive tasks, and providing decision support. Imaging, pathology, and radiology are some of the fields where AI is making significant inroads, helping to reduce the time and cost of diagnosis while improving accuracy. For example, AI can now analyze medical images with remarkable precision, often outperforming human experts in specific tasks like detecting diabetic retinopathy or analyzing radiology scans. They are also capable of operating in the background to find opportunistic diagnoses that may have been missed by human eyes. This concept is often overlooked and will become more important as costs continue to come down. via Avicenna.AI a leading medical imaging AI company One of the most exciting developments is AI’s ability to integrate multimodal data—combining text, images, biosensor data, and even genomic information to provide a more comprehensive understanding of a patient’s condition. This capability allows AI to go beyond simple image recognition and contribute to the overall diagnostic process, taking into account the patient’s medical history and up to date data. The Da Vinci Surgical System is a prime example of how AI is transforming surgery (from their website) While fully autonomous surgery may still be a decade away, the integration of AI into the surgical process is already enhancing precision and outcomes. The da Vinci Surgical System, which combines robotic surgery with AI, is a prime example of how technology is pushing the boundaries of what’s possible. AI in Outreach and Care Delivery​ At CareLaunch, we recognize the transformative power of AI and are integrating advanced AI capabilities into our CRM platform to support healthcare providers. AI is a strong fit for our mission to streamline patient communication, optimize workflows, and provide actionable insights. For instance, our AI-powered features can predict patient needs based on their historical data, enabling proactive outreach through our CRM. This is particularly valuable in managing chronic conditions, where timely interventions can prevent complications and improve quality of life. At the core of any AI or healthcare based initiative is a strong data foundation. The CareLaunch platform leverages HL7 FHIR standards to ensure that data is interoperable and secure. This also allows for the integration of AI models and other third-party tools to enhance the platform’s capabilities. Our CRM system takes the guesswork out of patient communication by automating outreach campaigns with data-driven precision. Whether it's reminding patients about upcoming appointments, sending post-visit follow-ups, or launching preventive care initiatives, CareLaunch ensures that every message is sent at the right time to the right patient. This automation reduces administrative burden on healthcare providers, allowing them to focus more on patient care while ensuring that no critical communication is overlooked. The Mayo Clinic's use of AI in diagnostics offers a real-world example of how AI-driven insights can lead to better patient care—a vision we share and strive to achieve with our platform. At CareLaunch, we’re redefining what’s possible in healthcare outreach and patient relationship management. Our AI-driven CRM platform is designed to help you deliver personalized care, streamline communications, and ultimately improve patient outcomes. Ready to see how CareLaunch can transform your practice? Schedule a demo today and discover how our innovative solutions can help you connect with your patients in more meaningful ways. For more insights into how CareLaunch is leveraging AI to transform healthcare, visit our blog or explore our platform to see how we can help you enhance patient care and operational efficiency. Artificial Intelligence (AI) in healthcare has long captured our imagination, fueled by portrayals in movies and TV shows where robotic surgeons and virtual assistants are the norm. But beyond science fiction, AI has profoundly impacted real-world healthcare. As it has evolved over the years, AI has transformed from an ambitious idea into a powerful tool, reshaping how we deliver care. The Three Waves of AI in Healthcare ​ ​ The journey of AI in healthcare can be categorized into three distinct waves: 1. The First Wave: Foundations and Early Exploration ​ The First Wave: Foundations and Early Exploration ​ The first wave emerged in the aftermath of World War II with the introduction of Machine Learning and the coining of the term "Artificial Intelligence." During this period, foundational concepts like the Turing Test were developed, laying the groundwork for future advancements. While the early stages of AI were exploratory, they set the stage for what was to come. Turing Test Colossus was the world's first electronic programmable computer, at Bletchley Park in Bedfordshire. Bletchley Park Trust/Science & Society Picture Library via Chris Monk Colossus was the world's first electronic programmable computer, at Bletchley Park in Bedfordshire. Bletchley Park Trust/Science & Society Picture Library via Chris Monk Chris Monk 2. The Second Wave: Expert Systems and Rule-Based AI ​ The Second Wave: Expert Systems and Rule-Based AI ​ The second wave, spanning the 1980s, was marked by the development of expert systems such as MYCIN and DXPlain . These systems aimed to mimic human decision-making using large sets of rules to provide medical recommendations. However, their potential was limited by the complexity of managing thousands of interacting rules and the constraints of the data available at the time, which primarily came from textbooks and human experts. MYCIN DXPlain DXPlain, one of the pioneering expert systems in healthcare, aimed to emulate human decision-making. DXPlain, one of the pioneering expert systems in healthcare, aimed to emulate human decision-making. 3. The Third Wave: AI Renaissance & ChatGPT ​ The Third Wave: AI Renaissance & ChatGPT ​ The third and current wave of AI began in the 2010s, characterized by the introduction of deep learning and neural networks. This era has been driven by the availability of large datasets, advances in computing power (especially GPUs), and innovative architectures like transformers which gave AI the ability to understand bodies of text as a whole versus just sequences of words. transformers The "Attention is All You Need" paper introduced the transformer architecture, revolutionizing natural language processing. The "Attention is All You Need" paper introduced the transformer architecture, revolutionizing natural language processing. The release of models like GPT-3 and ChatGPT has revolutionized natural language processing and catalyzed the development of AI-driven applications in healthcare, enabling conversational agents, predictive analytics, and personalized care. These same technologies are now being deployed to assist clinicians through prepopulating notes, automating repetitive tasks, and providing decision support. GPT-3 ChatGPT Imaging, pathology, and radiology are some of the fields where AI is making significant inroads, helping to reduce the time and cost of diagnosis while improving accuracy. For example, AI can now analyze medical images with remarkable precision, often outperforming human experts in specific tasks like detecting diabetic retinopathy or analyzing radiology scans. They are also capable of operating in the background to find opportunistic diagnoses that may have been missed by human eyes. This concept is often overlooked and will become more important as costs continue to come down. via Avicenna.AI a leading medical imaging AI company via Avicenna.AI a leading medical imaging AI company Avicenna.AI One of the most exciting developments is AI’s ability to integrate multimodal data—combining text, images, biosensor data, and even genomic information to provide a more comprehensive understanding of a patient’s condition. This capability allows AI to go beyond simple image recognition and contribute to the overall diagnostic process, taking into account the patient’s medical history and up to date data. The Da Vinci Surgical System is a prime example of how AI is transforming surgery (from their website) The Da Vinci Surgical System is a prime example of how AI is transforming surgery (from their website ) their website While fully autonomous surgery may still be a decade away, the integration of AI into the surgical process is already enhancing precision and outcomes. The da Vinci Surgical System , which combines robotic surgery with AI, is a prime example of how technology is pushing the boundaries of what’s possible. da Vinci Surgical System AI in Outreach and Care Delivery ​ ​ At CareLaunch, we recognize the transformative power of AI and are integrating advanced AI capabilities into our CRM platform to support healthcare providers. AI is a strong fit for our mission to streamline patient communication, optimize workflows, and provide actionable insights. For instance, our AI-powered features can predict patient needs based on their historical data, enabling proactive outreach through our CRM. This is particularly valuable in managing chronic conditions, where timely interventions can prevent complications and improve quality of life. At the core of any AI or healthcare based initiative is a strong data foundation. The CareLaunch platform leverages HL7 FHIR standards to ensure that data is interoperable and secure. This also allows for the integration of AI models and other third-party tools to enhance the platform’s capabilities. Our CRM system takes the guesswork out of patient communication by automating outreach campaigns with data-driven precision. Whether it's reminding patients about upcoming appointments, sending post-visit follow-ups, or launching preventive care initiatives, CareLaunch ensures that every message is sent at the right time to the right patient. This automation reduces administrative burden on healthcare providers, allowing them to focus more on patient care while ensuring that no critical communication is overlooked. The Mayo Clinic's use of AI in diagnostics offers a real-world example of how AI-driven insights can lead to better patient care—a vision we share and strive to achieve with our platform. Mayo Clinic's use of AI in diagnostics At CareLaunch, we’re redefining what’s possible in healthcare outreach and patient relationship management. Our AI-driven CRM platform is designed to help you deliver personalized care, streamline communications, and ultimately improve patient outcomes. Ready to see how CareLaunch can transform your practice? Schedule a demo today and discover how our innovative solutions can help you connect with your patients in more meaningful ways. Schedule a demo For more insights into how CareLaunch is leveraging AI to transform healthcare, visit our blog or explore our platform to see how we can help you enhance patient care and operational efficiency. our blog our platform

The Evolution of AI in Healthcare: From Ambitious Beginnings to What's Next

Surveys show that most healthcare stakeholders consider investments in insights and analytics as a priority funding nowadays. They point out that their organizations are increasingly betting on unified business intelligence (BI) solutions that help implement predictive analytics. Building such a data-driven approach in healthcare propels this domain forward, as 94% of respondents believe. They emphasized the top advantage doctors and patients can leverage from implementing healthcare BI tools and data analytics: a more personalized treatment path. Now, we do see progress in this market. For instance, the Deloitte survey found that customers are more satisfied with how fast and easy they can share their data via wearables than they were a few years ago. Nevertheless, transforming these data into valuable insights is still a perennial challenge from clinicians’ perspective, let alone acting on it promptly. I would say that data is one of the most underutilized assets in healthcare now. Storing Data Does Not Mean Benefiting From Them Many healthcare organizations lack dedicated teams or analytical tools to interpret this volume of data. Clinicians complain about being overloaded by a huge number of irrelevant records. So, only well-implemented electronic health records (EHR) systems with built-in analytical software, served by professionals, can quickly extract information with decision-making potential. Despite focusing on a data-driven approach in the majority of interviewed organizations, only 16% define themselves as mature players in this race. They can gather and analyze data from various sources and leverage findings. The rest of the healthcare institutions are struggling with different chain links of this process. Working with healthcare solutions suppliers, I see how often their customers demand customized software with advanced BI tools to not only react urgently but also use its forecast capabilities. Inhibitory Factors While the mentioned statistics show the healthcare sector has an optimistic view of using BI and DA solutions, some roadblocks stop capitalizing on this opportunity. Forty-three percent of interviewees listed disparate or incompatible systems as a top handicap healthcare organizations deal with. The bottom line is that such organizations need a solution to connect all these data storage, parse the information, and visualize ready-to-use findings. Preparing this infrastructure is a multi-step process that demands resources. It is not just about the investments. As I highlighted before, healthcare stakeholders are ready to adopt these technologies. I would say they know about this trend and would like to jump on this opportunity, but subconsciously, such projects may seem like a burden with an uncertain return on investment (ROI) still for many managers. How to Overcome Limitations In fact, healthcare management wants to know how the new technology aligns with the KPIs and helps boost performance. For example, medical organizations are waiting for more engagement from patients and a higher number of positive reviews, cost optimization, scaling, and better security. From a doctor's perspective, automating some paperwork and decreasing diagnosis time matter. A B2B vendor that provides a SaaS EHR solution would like to compete with major players and increase its market share, gain a new round of investments, meet tight deadlines and high investor expectations, or ultimately, enter new markets and even go for an IPO. In the U.S., there is a noticeable trend toward burnout and dissatisfaction among clients and doctors. Recently, the U.S. healthcare system faced its largest cyber attack. Gartner warned about such concerns last year. Such serious problems in the healthcare domain uncover big opportunities for health tech players, especially with SaaS products. The medical system needs new qualitative solutions to revolutionize its operations or thoroughly modernize the exciting ones. All you need is to show your clients how an EHR solution with BI tools will address their specific problems or help them achieve their goals. The second most common limitation I often observe in such projects is the scope of work and time frames, which is overwhelming for many stakeholders. As a micro-changing approach mature adopter, we recommend an incremental legacy modernization of your EHR system (of course, into your decision-making assistant and a business driver). How It Works In Practice We have had a client who offers EHR as a SaaS solution. Initially, they used this system for internal purposes. Later, they saw the growing demand for such software and decided to get their share of the pie. The organization faced many limitations. Their old system wasn’t scalable enough and couldn’t cope with increased users and data. Additionally, the owners were afraid of security concerns, data leaks, and damaging their reputations. The main challenge was to isolate customers’ data from each other in one environment. As a solution, we created a cloud multi-tenant architecture when different clinics’ records are operated absolutely independently. Also, cloud migration enables the client to scale the resources according to their actual use. For instance, seasonal influenza outbreaks cause higher patient activities and increased requests. The system adjusts resource consumption for such cases and scales them down after the peak periods. Moreover, the solution can predict such events. The system transforms historical data and information extracted in real-time from various databases into conclusions. Then, it automatically visualizes them on BI monitoring panels and notifies decision-makers. Hence, healthcare organizations can prepare their personnel and infrastructure in advance. A clear business strategy based on the modernized solution helped our client gain investments and government program support. By relying on our step-by-step upgrading approach, they overcame the main limitations. In Conclusion When we talk about adopting BI and data analysis in healthcare, it goes not only about technical or funding limitations. The key inhibitor we have to cope with is switching managers' business mindset and encouraging the new corporate culture. It is not enough just to have innovative tools. They won’t revolutionize your performance if they don’t have organizational leaders' support. While many companies are still implementing technologies for technologies, the most successful market players see their purposes and reach them. Also published here. Surveys show that most healthcare stakeholders consider investments in insights and analytics as a priority funding nowadays. They point out that their organizations are increasingly betting on unified business intelligence (BI) solutions that help implement predictive analytics. consider Building such a data-driven approach in healthcare propels this domain forward, as 94% of respondents believe. They emphasized the top advantage doctors and patients can leverage from implementing healthcare BI tools and data analytics : a more personalized treatment path. data analytics Now, we do see progress in this market. For instance, the Deloitte survey found that customers are more satisfied with how fast and easy they can share their data via wearables than they were a few years ago. Nevertheless, transforming these data into valuable insights is still a perennial challenge from clinicians’ perspective, let alone acting on it promptly. I would say that data is one of the most underutilized assets in healthcare now. Storing Data Does Not Mean Benefiting From Them Many healthcare organizations lack dedicated teams or analytical tools to interpret this volume of data. Clinicians complain about being overloaded by a huge number of irrelevant records. So, only well-implemented electronic health records (EHR) systems with built-in analytical software, served by professionals, can quickly extract information with decision-making potential. Despite focusing on a data-driven approach in the majority of interviewed organizations, only 16% define themselves as mature players in this race. They can gather and analyze data from various sources and leverage findings. The rest of the healthcare institutions are struggling with different chain links of this process. Working with healthcare solutions suppliers, I see how often their customers demand customized software with advanced BI tools to not only react urgently but also use its forecast capabilities. Inhibitory Factors While the mentioned statistics show the healthcare sector has an optimistic view of using BI and DA solutions, some roadblocks stop capitalizing on this opportunity. Forty-three percent of interviewees listed disparate or incompatible systems as a top handicap healthcare organizations deal with. The bottom line is that such organizations need a solution to connect all these data storage, parse the information, and visualize ready-to-use findings. Preparing this infrastructure is a multi-step process that demands resources. It is not just about the investments. As I highlighted before, healthcare stakeholders are ready to adopt these technologies. I would say they know about this trend and would like to jump on this opportunity, but subconsciously, such projects may seem like a burden with an uncertain return on investment (ROI) still for many managers. How to Overcome Limitations In fact, healthcare management wants to know how the new technology aligns with the KPIs and helps boost performance. For example, medical organizations are waiting for more engagement from patients and a higher number of positive reviews, cost optimization, scaling, and better security. From a doctor's perspective, automating some paperwork and decreasing diagnosis time matter. A B2B vendor that provides a SaaS EHR solution would like to compete with major players and increase its market share, gain a new round of investments, meet tight deadlines and high investor expectations, or ultimately, enter new markets and even go for an IPO. In the U.S., there is a noticeable trend toward burnout and dissatisfaction among clients and doctors. Recently, the U.S. healthcare system faced its largest cyber attack. Gartner warned about such concerns last year. faced warned Such serious problems in the healthcare domain uncover big opportunities for health tech players, especially with SaaS products. The medical system needs new qualitative solutions to revolutionize its operations or thoroughly modernize the exciting ones. All you need is to show your clients how an EHR solution with BI tools will address their specific problems or help them achieve their goals. The second most common limitation I often observe in such projects is the scope of work and time frames, which is overwhelming for many stakeholders. As a micro-changing approach mature adopter, we recommend an incremental legacy modernization of your EHR system (of course, into your decision-making assistant and a business driver). incremental legacy modernization How It Works In Practice We have had a client who offers EHR as a SaaS solution. Initially, they used this system for internal purposes. Later, they saw the growing demand for such software and decided to get their share of the pie. The organization faced many limitations. Their old system wasn’t scalable enough and couldn’t cope with increased users and data. Additionally, the owners were afraid of security concerns, data leaks, and damaging their reputations. The main challenge was to isolate customers’ data from each other in one environment. As a solution, we created a cloud multi-tenant architecture when different clinics’ records are operated absolutely independently. Also, cloud migration enables the client to scale the resources according to their actual use. For instance, seasonal influenza outbreaks cause higher patient activities and increased requests. The system adjusts resource consumption for such cases and scales them down after the peak periods. Moreover, the solution can predict such events. The system transforms historical data and information extracted in real-time from various databases into conclusions. Then, it automatically visualizes them on BI monitoring panels and notifies decision-makers. Hence, healthcare organizations can prepare their personnel and infrastructure in advance. A clear business strategy based on the modernized solution helped our client gain investments and government program support. By relying on our step-by-step upgrading approach, they overcame the main limitations. In Conclusion When we talk about adopting BI and data analysis in healthcare, it goes not only about technical or funding limitations. The key inhibitor we have to cope with is switching managers' business mindset and encouraging the new corporate culture. It is not enough just to have innovative tools. They won’t revolutionize your performance if they don’t have organizational leaders' support. business mindset While many companies are still implementing technologies for technologies, the most successful market players see their purposes and reach them. Also published here . here here

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