National Telehealth Solutionsis in the Employee Health IT Industry

National Telehealth Solutions

Authors:
(1) Prabath Jayatissa, University of Colombo
(2) Roshan Hewapathirane, University of Colombo Table of Links Abstract & Introduction Methodology Results Conclusion & References 3. RESULTS 3.1. Challenges to Interoperability in LMICs Several challenges hinder interoperability among health information systems in LMICs. Firstly, there is often a need for morestandardisation in data formats, coding systems, and terminologies used in different health information systems, making it difficult to exchange and interpret data accurately. Secondly, fragmented health information systems, where different systems are used for other healthcare functions, can lead to data silos and hinder seamless data exchange. Thirdly, more resources, including funding, technical expertise, and infrastructure, could be improved in implementing and maintaining interoperable health information systems. Data privacy, security, and consent issues are often inadequately addressed in LMICs, which can further impede interoperability efforts. Furthermore, the lack of a unified governance framework and coordination among different stakeholders involved in health information systems, including government agencies, healthcare providers, and technology vendors, can create challenges in aligning policies, standards, and processes for interoperability. Additionally, the diversity of languages, cultures, and healthcare practices in LMICs can further complicate interoperability efforts, as data exchange may require translation and customisation to local contexts.Moreover, healthcare professionals' workforce capacity and digital literacy can be limited in LMICs, which can impact the effective use of health information systems and hinder interoperability. Training, education, and skill development programs may be needed to enhance the capacity of healthcare providers to use and exchange health information across systems. Another significant challenge is the sustainability of interoperable health information systems in LMICs. Many LMICs face financial constraints and resource limitations, making it difficult to invest in developing, maintaining, and upgrading health information systems. Without adequate funding and resource allocation, interoperability initiatives may struggle to gain traction and achieve long-term sustainability.Overall, the challenges to interoperability in LMICs are multifaceted, encompassing technical, organisational, financial, and cultural aspects. Addressing these challenges requires a holistic approach, involving stakeholders from various sectors and levels and implementing strategies that address the unique needs and contexts of LMICs. By overcoming these challenges, LMICs can unlock the potential of health information systems to improve healthcare outcomes and advance their health systems towards more integrated, patientcentred, and data-driven care. 3.2. Strategies for Enhancing Interoperability in LMICs Despite the challenges, several strategies can be adopted to enhance interoperability among health information systems in LMICs. Firstly, standardising data formats, coding systems, and terminologies are crucial for ensuring consistency and accuracy of data exchange. Adopting internationally recognised health IT standards, such as HL7 (Health Level Seven) and SNOMED CT (Systematized Nomenclature of Medicine Clinical Terms), can facilitate interoperability efforts. Secondly, consolidation and integration of fragmented health information systems into a unified health information exchange (HIE) platform can enable seamless data exchange and coordination of care. The development of national health information exchange policies and governance frameworks can support the establishment and sustainability of HIEs. Thirdly, investment in health IT infrastructure, including hardware, software, and networking, is essential for keeping interoperable health information systems. This may require partnerships and collaborations with various stakeholders, including governments, non-profit organisations, and the private sector. Additionally, capacity building and training programs for the health IT workforce can enhance technical expertise and knowledge in LMICs. Furthermore, addressing data privacy, security, and consent issues through appropriate policies, regulations, and safeguards is crucial for building trust and promoting data exchange among health information systems. Another essential strategy is fostering collaboration and coordination among different stakeholders involved in health information systems in LMICs. This includes government agencies, healthcare providers, technology vendors, and other relevant entities. Establishing partnerships and alliances among these stakeholders can help align policies, standards, and processes for interoperability and promote knowledge sharing and best practices. Furthermore, leveraging existing technologies and infrastructure can be cost-effective to enhance interoperability in LMICs. For example, utilising mobile health (mHealth) and telehealth solutions can facilitate data exchange in remote and underserved areas where traditional health information systems may be limited. Leveraging cloud-based solutions and open-source software can also provide affordable options for health information exchange in resource-constrained settings. Another strategy is to prioritiseuser-centred design and usability of health information systems. Ensuring that the systems are intuitive, user-friendly, and compatible with local workflows and practices can encourage adoption and utilisation by healthcare providers, leading to improved interoperability. Involving end-users in designing, testing, and refining health information systems can also help identify and address usability challenges. In addition, fostering a culture of data sharing and collaboration among healthcare providers and organisations can promote interoperability. Encouraging data-sharing agreements, promoting data exchange policies, and providing incentives for data sharing can motivate stakeholders to participate in interoperability efforts and facilitate seamless data exchange. Lastly, continuous monitoring, evaluation, and improvement of interoperable health information systems are essential for sustaining interoperability efforts in LMICs. Regular assessment of system performance, identification of gaps, and implementation of corrective measures can help optimise interoperability and ensure that health information systems are meeting the evolving needs of the healthcare ecosystem in LMICs. In conclusion, enhancing interoperability among health information systems in LMICs is a complex endeavour that requires addressing technical, organisational, financial, and cultural challenges. By adopting strategies such as standardisation, consolidation, investment in infrastructure, capacity building, policy development, user-centred design, fostering collaboration, and continuous improvement, LMICs can overcome these challenges and unlock the potential of health information systems to improve healthcare outcomes and strengthen their health systems. This paper is available on arxiv under CC 4.0 license. Authors: (1) Prabath Jayatissa, University of Colombo (2) Roshan Hewapathirane, University of Colombo Authors: Authors: (1) Prabath Jayatissa, University of Colombo (2) Roshan Hewapathirane, University of Colombo Table of Links Abstract & Introduction Abstract & Introduction Methodology Methodology Results Results Conclusion & References Conclusion & References 3. RESULTS 3.1. Challenges to Interoperability in LMICs Several challenges hinder interoperability among health information systems in LMICs. Firstly, there is often a need for morestandardisation in data formats, coding systems, and terminologies used in different health information systems, making it difficult to exchange and interpret data accurately. Secondly, fragmented health information systems, where different systems are used for other healthcare functions, can lead to data silos and hinder seamless data exchange. Thirdly, more resources, including funding, technical expertise, and infrastructure, could be improved in implementing and maintaining interoperable health information systems. Data privacy, security, and consent issues are often inadequately addressed in LMICs, which can further impede interoperability efforts. Furthermore, the lack of a unified governance framework and coordination among different stakeholders involved in health information systems, including government agencies, healthcare providers, and technology vendors, can create challenges in aligning policies, standards, and processes for interoperability. Additionally, the diversity of languages, cultures, and healthcare practices in LMICs can further complicate interoperability efforts, as data exchange may require translation and customisation to local contexts.Moreover, healthcare professionals' workforce capacity and digital literacy can be limited in LMICs, which can impact the effective use of health information systems and hinder interoperability. Training, education, and skill development programs may be needed to enhance the capacity of healthcare providers to use and exchange health information across systems. Another significant challenge is the sustainability of interoperable health information systems in LMICs. Many LMICs face financial constraints and resource limitations, making it difficult to invest in developing, maintaining, and upgrading health information systems. Without adequate funding and resource allocation, interoperability initiatives may struggle to gain traction and achieve long-term sustainability.Overall, the challenges to interoperability in LMICs are multifaceted, encompassing technical, organisational, financial, and cultural aspects. Addressing these challenges requires a holistic approach, involving stakeholders from various sectors and levels and implementing strategies that address the unique needs and contexts of LMICs. By overcoming these challenges, LMICs can unlock the potential of health information systems to improve healthcare outcomes and advance their health systems towards more integrated, patientcentred, and data-driven care. 3.2. Strategies for Enhancing Interoperability in LMICs Despite the challenges, several strategies can be adopted to enhance interoperability among health information systems in LMICs. Firstly, standardising data formats, coding systems, and terminologies are crucial for ensuring consistency and accuracy of data exchange. Adopting internationally recognised health IT standards, such as HL7 (Health Level Seven) and SNOMED CT (Systematized Nomenclature of Medicine Clinical Terms), can facilitate interoperability efforts. Secondly, consolidation and integration of fragmented health information systems into a unified health information exchange (HIE) platform can enable seamless data exchange and coordination of care. The development of national health information exchange policies and governance frameworks can support the establishment and sustainability of HIEs. Thirdly, investment in health IT infrastructure, including hardware, software, and networking, is essential for keeping interoperable health information systems. This may require partnerships and collaborations with various stakeholders, including governments, non-profit organisations, and the private sector. Additionally, capacity building and training programs for the health IT workforce can enhance technical expertise and knowledge in LMICs. Furthermore, addressing data privacy, security, and consent issues through appropriate policies, regulations, and safeguards is crucial for building trust and promoting data exchange among health information systems. Another essential strategy is fostering collaboration and coordination among different stakeholders involved in health information systems in LMICs. This includes government agencies, healthcare providers, technology vendors, and other relevant entities. Establishing partnerships and alliances among these stakeholders can help align policies, standards, and processes for interoperability and promote knowledge sharing and best practices. Furthermore, leveraging existing technologies and infrastructure can be cost-effective to enhance interoperability in LMICs. For example, utilising mobile health (mHealth) and telehealth solutions can facilitate data exchange in remote and underserved areas where traditional health information systems may be limited. Leveraging cloud-based solutions and open-source software can also provide affordable options for health information exchange in resource-constrained settings. Another strategy is to prioritiseuser-centred design and usability of health information systems. Ensuring that the systems are intuitive, user-friendly, and compatible with local workflows and practices can encourage adoption and utilisation by healthcare providers, leading to improved interoperability. Involving end-users in designing, testing, and refining health information systems can also help identify and address usability challenges. In addition, fostering a culture of data sharing and collaboration among healthcare providers and organisations can promote interoperability. Encouraging data-sharing agreements, promoting data exchange policies, and providing incentives for data sharing can motivate stakeholders to participate in interoperability efforts and facilitate seamless data exchange. Lastly, continuous monitoring, evaluation, and improvement of interoperable health information systems are essential for sustaining interoperability efforts in LMICs. Regular assessment of system performance, identification of gaps, and implementation of corrective measures can help optimise interoperability and ensure that health information systems are meeting the evolving needs of the healthcare ecosystem in LMICs. In conclusion, enhancing interoperability among health information systems in LMICs is a complex endeavour that requires addressing technical, organisational, financial, and cultural challenges. By adopting strategies such as standardisation, consolidation, investment in infrastructure, capacity building, policy development, user-centred design, fostering collaboration, and continuous improvement, LMICs can overcome these challenges and unlock the potential of health information systems to improve healthcare outcomes and strengthen their health systems. This paper is available on arxiv under CC 4.0 license. This paper is available on arxiv under CC 4.0 license. available on arxiv

Challenges to Interoperability of Health Information Systems in LMICs

90 Stories To Learn About Healthcare Tech

BlueDot, a Toronto-based artificial intelligence company, was first to spot the mysterious virus causing pneumonia in Wuhan. On December 30, their systems, backed by machine learning algorithms, of a new infectious disease. They alerted hospitals, governments, businesses, and other clients from the private sector about the danger. flagged the outbreak Only 9 days after BlueDot’s discovery, the World Health Organization (WHO) made an official announcement about the spreading of Covid-19. Not a human, but a smart technology system, alerted the global community. The same way technologies can help us survive this pandemic. Technology Companies Involved in Coronavirus Struggle Global technology companies are not standing idly by during this tough time. Facebook, Google, and Amazon have already discussed their role in the crisis with officials. During the discussions, the companies have outlined key directions that are mainly focused on sharing data and avoiding the spread of misinformation. Let’s look at this in more detail. Facebook’s Contribution Facebook has started cooperating with the School of Public Health supported by Harvard and Taiwan National Tsing Hua University. With joint efforts, they monitor movements of people based on anonymous data and determine places with the biggest population density. This makes it easier to predict how the virus will spread. Another Facebook contribution is the analysis of content people publish on social media. They track what users write and identify their emotions and overall attitude to the situation. They use Crowdtangle, a content monitoring tool that helps create a wider picture of people’s behavior during the pandemic. Google’s contribution At the moment, Google, with the support of the US government, is building an informational website that will allow everyone to stay informed on  the situation. In their as of March 15, Google stated that its website would be dedicated to “COVID-19 education, prevention, and local resources nationwide.” They added that it will include “best practices on prevention, links to authoritative information from the World Health Organization (WHO) and the Centers for Disease Control (CDC).” blog post Also, Google has focused on getting rid of misinformation about the virus on its services, such as Google Maps, YouTube, Play (development platforms), and in ads. Amazon’s contribution Many countries globally are implementing mass quarantines to keep people isolated and decrease the spreading of infection. In view of this, the global e-commerce business has rapidly grown since people prefer to order goods online rather than visit offline stores and contact with others. To facilitate all orders, Amazon is planning on hiring and additional to work in their warehouses. They are responsible for order fulfillment and distribution. This way, all people can keep receiving orders without delays. 100,000 employees Software solutions to help people stay afloat during the quarantine Due to the quarantine, people face isolation from the services they used before. Moreover, they are now extremely sensitive to all sorts of possibly fake information on websites and social media networks. Technology and innovative software solutions can not only be valuable during quarantines, but they can also protect people from misinformation. Let’s discuss some effective solutions to make your isolation less depressive and help people stay afloat. Among them are telemedicine, AI solutions, chatbots, VR and AR technologies, contactless food delivery, work-from-home solutions, and, of course, distance learning. Telemedicine solutions Telemedicine or telehealth platforms are the systems allowing medical providers to consult and diagnose patients remotely. Here are some of the useful products medical organizations can integrate into their operations. Updox This solution offers a set of features for out-of-hospital communication, including video chat that’s compliant with HIPAA policies, texting, and electronic fax tools for doctor-patient communication. Updox can be integrated into the EMR system to synchronize data sharing. Retrieved from https://helpdesk.macpractice.net Intelligent Medical Software (IMS) This cost-effective, HIPAA-compliant telemedicine solution has a set of useful features, including appointment scheduling and reminders, e-prescribing, multi-provider practice, one-to-one private messaging, practice management, and video conferencing. Retrieved from https://meditab.com Ummanu Ummanu’s telehealth platform facilitates remote interactions between medical specialists and patients. It provides appointment and schedule management, automated queuing management, video, and audio conferencing, etc. It can be integrated into existing administrative and medical systems as well as various apps and devices. Web applications One of the recommendations that can help prevent the spread of COVID-19 is not touching your face with hands. But this is not that easy, especially without a reminder. A web application called Face Touch Monitor counts when you touch your face using your webcam and computer vision. Machine learning on the webcam image is done 100% locally in your browser, so no information is shared to external resources. Working in front of the monitor and keeping the webpage running, you will hear a beep alert when you touch your face. Another option is getting a browser notification. Thus, a series of reminders can eventually train you from touching your face and getting the virus into your body. Retrieved from https://webrtchacks.com VR Solutions Real estate business will go through a transformation with virtual reality technology. Because all potential buyers are recommended to stay at home, companies are turning to modern technologies, such as VR, that can help them stay afloat. For example, the Chinese real estate company, Anjuke, has started offering its clients the possibility to select accommodation through a platform. Thus, they can choose a property without leaving their home. VR-based live streaming Another VR activity that can keep you entertained while in self-quarantine is a virtual fitness game. Locked at their homes for their safety, people still need to stay fit, but this might be quite challenging without visiting a gym. Luckily for us, VR is here to help. For example, Box VR – released in 2019, it is a fitness cardio boxing game for conditioning the arms, shoulders, and chest. This game also counts how many calories a person burns during a workout and includes workout playlists designed by real fitness instructors. Retrieved from https://vrfitnessinsider.com AR Solutions Not only is AR an interactive technology for online shopping, but it is also a helping hand for pharmaceutical research. Apprentice, the AR firm, is providing pharmaceutical centers and manufacturers globally with its AR Tandem Rapid Deployment Kit. The purpose is to avoid the delay in the creation of necessary equipment for coronavirus fighting. “Our largest clients, who are responsible for some of the world’s most important drugs, called us asking how fast we could ship our platform to their facilities. Pharmaceutical manufacturing facilities around the globe needed our kits are physically on-site for emergency contingency planning, especially for facilities whose operations have already significantly impacted by the novel coronavirus pandemic,” CEO of Apprentice for Outsourcing Pharma. comments Smart Chatbots New York-based Ro, together with San Francisco-based Memora Health, has rolled out a solution. This bot applies AI technology to instantly respond to the standard questions relating to covid-19. smart chatbot The solution is intuitive and simple in usage. Patients can simply type a question like “What are the disease symptoms?” or “What are my next steps if I feel them?” and the bot will provide answers. The bot is developed by the WHO and the Disease Control and Prevention Centers advisory. Retrieved from https://forbes.com Contactless food delivery To minimize the contact of food delivery couriers with users, companies implemented a new delivery method into their delivery applications. For example, a Finnish company, Wolt, initiated a “ ,” meaning couriers will leave the order right at the entrance or doorstep. There is the possibility to track the order so that the user could take it once the courier leaves the building. no-contact delivery Retrieved from https://wolt.com McDonald’s, Dominos Pizza, and a number of other food delivery companies are turning to contactless order deliveries to keep people safe. Distance education solutions Based on research, the quarantine impacted over 35 million school students nationwide (USA). With classes temporarily suspended, parents began to look for online solutions that сan help them keep their children engaged in education. Here are some resources for consideration. Education Week Scholastic The , created by Scholastic, consists of the curricula for 20 days. It helps students to continue learning, even at home. It is targeted at the students from pre-K to 6+ grades. It has 4 learning experiences that are built around a video or story. Children can study alone, with the help of teachers or their parents. The program is available via any device. Learn at Home program Retrieved from https://classroommagazines.scholastic.com Outschool This educational platform provides access to various online classes for students aged 3 to 18. Studying is conducted through video chat. The platform includes 10,000+ classes covering multiple topics from wellness and health studies to coding and music lessons. Outschool is a free solution. Retrieved from https://outschool.com Khan Academy This is a technology platform that provides access to multiple practical tasks for students with detailed instructional videos, dashboards with a range of directions including science, programming, mathematics, history, art, languages, economics, etc. The system builds schedules for children of all grades. Retrieved from https://commonsense.org Remote working solutions Working remotely can be quite a challenging task. However, there are great technology solutions that can help you remain engaged in work processes and deliver results. Let’s see some of them. Status Hero Status Hero’s key functionality is to track the performance of workers. It is an that occasionally sends them questions, collects answers, and saves activity data in the system. Based on this data, the app creates reports visible to all workers that show the progress and status of the overall workflow. app Retrieved from https://statushero.com Mural As an for remote collaboration, this visual tool provides teams with shared artifacts and ensures a direct and seamless connection between all team members. You get access to the online canvas with lists, notes, graphs, frameworks, charts, methods, and different drawings for the alignment of all tasks and quality coordination. online space Retrieved from https://mural.co Sococo This is another with the options of online chatting, voice messaging, video conferencing, etc. It is your virtual workplace with all the necessary at hand. Workers organize private online offices, can visit each other through shared conferences and keep working as if they did not leave their real offices. digital workspace Retrieved from https://sococo.com Summing Up the Technology Contribution in the COVID-19 Period I have outlined a number of software solutions that can help individuals and organizations survive in the period of coronavirus pandemic. We all can not predict when the infection spreading will go down, but we can apply innovations to simplify our lives at the moment. Today, we can use multiple solutions including telehealth platforms, AI chatbots, VR and AR tools, no-contact delivery apps, distance education, and remote working tools. In this article, I have enumerated some of the most popular solutions. However, you can make your own research and find more tools. In this article Rocky Osborn, Senior Vice President, Global Business Development & Client Success at Innovecs , a global software development company, discusses software solutions that can help us to stay afloat in the coronavirus pandemic and keep safe, educated and united while on quarantine.

Software Solutions and Technologies to Counter the Coronavirus Pandemic

The advent of machine learning (ML) and artificial intelligence (AI) in the realm of healthcare has been akin to a new dawn. Amidst their vast array of applications, one transformative change stands tall: the reinvention of healthcare reimbursement processes. With a synergetic convergence of ML, AI, and cloud computing, healthcare's financial landscape is undergoing a seismic shift, making remote health a reality for millions who once found it out of reach. The Automation Revolution in Reimbursement Traditionally, the reimbursement process within healthcare has been a byzantine affair. Codes to be entered, forms to be filled, and the ever-looming threat of human error meant that the journey from services rendered to payment secured was arduous. Enter ML and AI—technologies that thrive on complexity. By analyzing patterns within vast data troves, algorithms now predict, with increasing accuracy, the correct coding for procedures, thereby reducing the administrative load. Research published by the American Medical Association indicates that administrative tasks are one of the leading causes of doctor burnout, with insurance-related tasks particularly culpable. AI is a beacon of hope here, with its capacity to streamline these processes, thus freeing healthcare professionals to focus on patient care. Precision and Speed: A Quantitative Leap Error rates in manual claims processing are a notorious challenge, with the American Academy of Family Physicians highlighting that the average error rate for medical billing is around 7-10%. This is not just a statistic; it translates to delays in payments, increased costs, and financial uncertainty for healthcare providers. The introduction of ML and AI into cloud-based systems has dramatically altered this landscape. ML algorithms learn from every claim, becoming more adept over time at flagging discrepancies and potential errors. They can process and analyze claims at a speed no human team can match, reducing processing times from weeks to mere days or hours, ensuring that the financial heartbeat of healthcare keeps a steady and reliable tempo. Cost Savings and Fraud Minimization Financial fraud in healthcare is a multi-billion-dollar problem. According to the National Health Care Anti-Fraud Association, healthcare fraud costs the United States about $68 billion annually. AI-driven systems are instrumental in identifying and preventing fraudulent claims. Their ability to detect anomalous patterns and predict potential fraud has saved the healthcare industry significant amounts by catching false claims before they are paid out. This not only prevents losses but also acts as a deterrent against the perpetration of fraud. Bridging the Remote Health Divide One of the most poignant narratives in the rise of end-to-end cloud solutions in healthcare is their impact on remote health. The World Health Organization underscores the importance of telehealth, particularly in remote areas, where access to healthcare is often limited by geographical barriers. AI and ML have been pivotal in this context. By efficiently managing the backend financial transactions, they have enabled healthcare providers to scale their services remotely. No longer do distance and isolation preclude patients from receiving expert care. Virtual consultations, AI-assisted diagnostics, and cloud-managed patient data are not just conveniences but lifelines for those in remote regions. The Future Is Here: An Era of Unbounded Potential The journey of integrating ML, AI, and cloud computing into healthcare's financial workflows is an ongoing one, but its trajectory points unmistakably towards a horizon of hope and improvement. As these technologies mature and their integration becomes more seamless, we are looking at a future where the entire healthcare experience — from diagnosis to treatment, from billing to follow-up — is enhanced. Remote health, once shackled by the chains of cumbersome administrative processes, is now flourishing under the aegis of these smart solutions. We are witnessing a democratization of healthcare, where quality services are not a privilege but a given, regardless of a patient's location. The power of ML and AI in healthcare is not merely in their technological prowess but in their profound impact on humanity. They stand not as cold, inanimate algorithms but as the beating heart of a system striving for equity, efficiency, and excellence in patient care. As these technologies continue to evolve, the potential for further innovation is boundless. Imagine a future where AI not only processes reimbursements but also predicts patient outcomes and personalizes treatment plans. Picture a healthcare system unburdened by financial inefficiencies, where every resource is optimized for patient wellness, and where remote health is not a distant possibility but a present reality for all. In the final analysis, ML and AI in the cloud are not just reshaping healthcare's financial backbone; they are redefining the very essence of how care is provided and managed across the globe. This revolution is not just about technology; it's about people, health, and the immeasurable value of both.

Cloud Empowerment: How AI and ML Are Reshaping Healthcare's Financial Backbone

Let's learn about via these 74 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Tesla /Learn Repo 1. Electric Vehicles: to Buy or Not to Buy Electric Vehicles are Popular, but Should YOU Get One? 2. Musk Took on a $12.5 Billion Personal Loan Secured by His $62.5 Billion Worth of Tesla Stock Twitter v. Elon Musk Court Filing, July 12, 2022 is part of HackerNoon's Legal PDF series. Part 14 of 31: FACTUAL ALLEGATIONS -The financing structure 3. Where are crypto markets heading in 2021 Elon Musk is more than just the world’s richest man and one of the most divisive famous figures. He’s an inventor and an innovator whose opinion matters in today’s tech space, perhaps more than it ever did. 4. The Tech Entrepreneur Elon Musk is Making Advanced Pigs Elon Musk facilitated the live demo to show how Neuralink mind inserts can be carefully added to a live subject with no hindrance to their wellbeing. ‘They’re solid and glad, and undefined from an ordinary pig,’ he said. 5. All You Need to Know About the Tesla Dojo Supercomputer All about the Dojo Supercomputer, what it is, why it was created, how it works and what it will be used for 6. Why The Tesla Robot Won't Work Everything you need to know about the Tesla Robot, what we know about this new machine, what we think it will be capable of doing and why we think it won't work 7. MashRadar Reviews: The Tesla Prototype Humanoid Robot Optimus This Tesla Humanoid Robot Optimus review will examine the features and functionality of Elon Musk’s latest invention. 8. Tesla Cybertruck: Built for Mars, Available on Earth Elon Musk is known for his incredibly ambitious, multi-year visions for the future. Tesla’s initial Master Plan, funding cheap vehicles with expensive ones, was realized with the Model 3. Now the Cybertruck is part of a whole new Master Plan that has much more to do with SpaceX than Tesla. You might love the Cybertruck, or you might hate it, but it was never designed for you. Cybertruck was designed to be extremely rugged, Mars rugged. 9. MachineFi: Unlocking The Machine Economy The Internet of Things could be as important to household wealth as homeownership by 2030. MachineFi makes sure this new wealth is distributed fairly. 10. The GameStop Incident is Only The Beginning Be it QAnon, Game stop, or T-Series the underlying forces are the same. They are driven by the followers of a belief, a belief initially led by a few with some 11. Tesla’s Recent Layoffs May Start a Trend in Tech Employment With the United States' economy in unseen circumstances, tech companies' hiring habits are responding and employees must also. 12. Elon Musk and Crypto Markets: "Seriously, playing?" or "Playing seriously"? Elon Musk and crypto market manipulation - is it a joke or a serious crime? 13. Mass Transit In a Post COVID-19 World As I write this on April 18, 2020, there are over 156,000 global deaths due to COVID-19, which is actually a tiny percent, however, this disease is incredibly communicable and is still not well understood. 14. Elon Musk: From The King's Gambit to The Pawn's Endgame Decentralization is one of favorite Elon’s words, but not when it comes to the Internet. 15. Three Bullish Tech Predictions for 2020 #1 The Distributed Workforce Proliferates 💻 16. Tesla Joins the Cryptocurrency Game: What does this Mean for the Market? On February 8, the cryptocurrency market was rocked by the news of a $1.5 billion investment in BTC from Tesla. Bitcoin responded with an immediate rise to $48,000 and an increase in capitalization to almost $900 billion. 17. How to Hack Self-Driving Cars: Vulnerabilities in Autonomous Vehicles Self driving cars use artificial intelligence to allow vehicles like Tesla to drive without human interaction. This feature makes these cars vulnerable to hack. 18. Another Self-Driving Car Accident: New AI Development Lesson To Learn From (Source: https://blogs.nvidia.com) 19. Tesla's Snowball Effect There is a threshold before which growth seems painfully slow, yet, as you pass through that threshold, things start to grow exponentially. 20. The Future of Technology: Advanced AI Technology on the Roads Google and Tesla believe that self-driving vehicles have the ability to reduce automotive accidents dramatically. The National Highway Traffic Safety Administration's data shows that 90 per cent of automobile crashes involve human choice. AI can be used in automobiles to allow drivers to make better and/or quicker choices while preventing human errors
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Elon Musk Wants to Sell Brain Chips, But No One's Buying Musk might not be a neurosurgeon, but it was only a matter of time before he also entered the world of healthcare. 36. The Noonification: What Is the Future of AI Rights? (1/30/2023) 1/30/2023: Top 5 stories on the Hackernoon homepage! 37. Terra Approaches Tesla in Terms of Bitcoin Reserves Soon Terra can have more Bitcoins than Tesla. Moreover, in long term, it can get more Bitcoins than Microstrategy. 38. The Noonification: The Forgotten Planet (10/5/2022) 10/5/2022: Top 5 stories on the Hackernoon homepage! 39. Electric Vehicles Are Getting Mainstream, Whether You Like It Or Not Move over Tesla. Electric vehicles are becoming extremely, completely normal. Everyone is both disappointed and thrilled, for different reasons. 40. Tesla to Build $5 Billion Gigafactory in Mexico With the Gigafactory agreement inked, Musk stands to benefit from a series of advantages a Mexican factory could provide. 41. Tesla's Environmental Futurism And Impact The mission of Tesla is to “accelerate the world’s transition to sustainable energy.” The company builds electric vehicles designed to be more efficient and faster than traditional automobiles. Tesla envisions a zero-emission future for our fossil fuel-reliant world, yet must continue to advance technologically in order to achieve this aim. 42. Cars With Smartphone Integration Soon Will Be Mainstream In today’s fast-paced world we’re constantly online, whether we’re at home, in the office, or behind the wheel. Connectivity and mobility rule our lives, and smartphones have become an integral part of our daily routine. But while connectivity and mobility bring tons of possibilities, they also bring new problems. One of them is safely managing our communication. 43. Learn About the History of Tesla Jon Erlichman goes over the history of Tesla. 44. Here's How Your Favorite Tech Giants Did Financially This Quarter Tech giants reported their earnings this past week and stories about these results played a role in the latest round of HackerNoon Tech Company rankings. 45. The Multiverse of Madness: Warren Buffett, Elon Musk, Inflation & Bitcoin Warren Buffett vs. Elon Musk - Inflation vs. Bitcoin 46. Et Tu, Muske? Et Tu, Muske? 47. Console #17: Japanese Pizza Toast and Turtles 01/12/2019 48. Tesla Stock Wears A Double Halo (Illustration: Mike Bloom) 49. Right-to-Repair: Facts, Myths, and Possibilities for the Future As my friends discuss some up and coming opportunities in the technology space, something came up this afternoon about a new law that’s been approved by 75% of voters in Massachusetts, called “right-to-repair”. I’ve done some reading and got some interesting thoughts for the near future. 50. Elon Musk's Lessons In Business Scaling In 2006 Tesla was struggling to pull off the first viable version of its car, which would prove at least the first feasibility of the project. And that time, Musk laid out a master plan. 51. Should Telsa Humanoids Be Our Future Nurses? While many older movies set in the future paint the 2020s as a futuristic megalopolis, the reality is that we have yet to transform into a society that sees flying cars and teleportation as normal parts of everyday life. However, new innovations and developments in healthcare, such as ambulatory surgery centers and telehealth, are slowly starting to usher us into a new age in which highly advanced technology is becoming more and more accepted and utilized. 52. Noonie Nominee Nick Oneill on Defining "Cool" for a 5 Year Old Nicholas Oneill from the Netherlands has been nominated in Product Development for his double diamond discovery series on Hacker Noon. 53. What Can Tesla, the Company, Still Learn From Tesla, the Inventor? It is pretty much obvious why Elon Musk named his company - Tesla, isn't it? But, did Elon Musk do his homework research on Nikola Tesla thoroughly? 54. What Customers Want From EV Manufacturers This Slogging thread by Arthur and Richard-kubina occurred in hackernoon's official #slogging-beta channel, and has been edited for readability. 55. 10 Stocks to Consider When Looking to Invest in Connected Cars Space The rollout of 5G is making even more connections possible, and one of the revolutionary  trends in the connected world is connected cars. Vehicles are getting smarter than ever before, and they’ll be using up a lot of data as more and more get connected to the Internet of Things. 56. Tesla's Optimus Humanoid and the Future of Sentient AI On AI Day 2022, Tesla introduced the Optimus prototype, an improvement from the human in a costume a year prior. How close to sentience is the new bot? 57. An Intro to Robotaxi and Tesla’s Foray into Autonomous Taxis Elon Musk promised Tesla robotaxis to be launched in 2020. No Robotaxis are yet to be seen while competitors like Hyundai, Waymo, and Ford make progress. 58. How Q-Reel Want to Revolutionize Electric Vehicle Charging Game-changing technology offers EV consumers safe, effortless and hassle-free at-home electric vehicle charging via first-of-its-kind automation that’s paired with integrated app-based monitoring and control; Tesla, BMW, Nissan, Chevrolet, Ford, Volkswagen, Kia and other EV drivers to benefit from leading-edge solution making home charging safer, easier and more controllable than ever before 59. Natasha Reads The News So You Don't Have To In today's most talked about and not-talked about global news: Minneapolis; Brazil; Trump vs. Twitter; Xpeng vs. China; and two well-intentioned men with machetes and a broom end up in the wrong home Down Under. 60. The Elon-Twitter Love Affair: Is it Steamy Enough for Crypto and Tech? Elon Musk Twitter association is expected to pave the way for the next-gen of social networking, web 3.0 adoption, and other tech-powered developments. 61. Manufacturing Robotization: Drivers and Barriers By 2035, in the leading industrial robotics countries, factory productivity will grow by 40% and gross value added will double. 62. SpaceX Technology May Have The Potential To Revolutionise The Future of Cars As the years have gone by, entrepreneur Elon Musk has undoubtedly become a household name. His broader visions, and not to mention wealth, has helped him to carve out a legendary mark in outer space and the automotive industry alike. 63. Dutch Forensic Team Hacked Tesla's Driving Data to Investigate a Crash Tesla’s data storage system was hacked by a team of Dutch forensic researchers this week to investigate a car crash. 64. Tesla Is Profitable, But Its Total Debt Is Nearly $28 Billion: Can They Recover? The CFO says reducing debt is the priority right now. Tesla's annual revenue tops $30 billion and first annual profit ($720 million), but total debt is $28B. 65. "Virgin Galactic is the next Tesla" - Cal Evans, Noonie Nominee for Learning To Code Learning how to code is one of the most difficult and rewarding tasks you can do. While this journey may be a tough and long one, our 2020 Noonie Nominee Cal Evans from United States can help you out. 66. Machine Learning News Roundup - 6 Essential AI Articles of 2019 67. Free Land Incentives in The Bahamas for Clean Energy Introduction 68. Landing a Job at Tesla Using Facebook Ads Step by step guide how to stand out of the crowd landing a job with Facebook ads 69. Why Hasn't Tesla Entered the Indian Market? The internet has been buzzing since Elon Musk announced that Tesla is coming to India next year. This is big news and not just for the people who are waiting to get their hands on a luxury electric car like Tesla but also for the entire electric vehicles (EV) industry in the country. 70. As Tesla Stock 📉, Musk needed to personally pay $33.5 Billion (previously $21 Billion) for Twitter Twitter v. Elon Musk Court Filing, July 12, 2022 is part of HackerNoon's Legal PDF series. Part 15 of 31: FACTUAL ALLEGATIONS -The financing structure 71. Why The Real Estate Industry Should be More Like Tesla & Less Like Volkswagen As of August 4th, 2020, Tesla shows a market cap of $280B. Volkswagen AG is worth $77B. Why is that? And what can we apply to real estate from these examples? 72. Car Safety Technology Is A Must-Have To Save Pedestrians' Lives When we talk about pedestrian traffic, safety must be the top concern. But sadly, transportation infrastructure worldwide pays more attention to the vehicle's safety, not people. 73. Tesla AI Day: How Does Tesla's Autopilot Work An overview of Andrej Karpathy's talk at Tesla AI Day on how Tesla's autopilot works in 10 minutes. 74. Did You Say $500,000 For A Virtual Plot Of Land? Amy Tom, Limarc Ambalina, and Natasha Nel are wrapping their head's around the fact that a plot of land on the Decentraland platform sold for $572k. Thank you for checking out the 74 most read stories about Tesla on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

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