HealthCred

“I’ve never been able to predict the future of anything”, said Bob Edwards, one of the most accomplished American journalists.

Top 7 Use Cases of Predictive Analytics in Healthcare

In 1903 Henry Ford’s lawyer was told by the President of the Michigan savings bank not to invest in the Ford Motor company, saying that “the horse is here to stay, but the automobile is a novelty, a fad”. History is littered with now comically wrong predictions. This is particularly true in the World of technology. From Western Unions prediction that the telephone had too many shortcomings to be seriously considered as a means of communication” to Darryl Zanuck’s 1964 prediction that TV would last six months because people would get tired of staring at a box every night.

Looking Back at HealthTech Predictions in 2012 : How Accurate Were They?

Mohammed Nayeem pioneers AI-driven cybersecurity and hospital-specific frameworks, protecting clinical systems, devices, and patient lives worldwide.

The Next Generation of Cybersecurity Protection for Healthcare

Integrating Java and .NET components is a common requirement in enterprise platforms, especially within regulated domains such as digital healthcare.

JAR vs API Integration: Architectural Trade-Offs in Enterprise Healthcare Platforms

Explainable AI helps doctors understand medical AI decisions—but transparency doesn’t equal truth. Here’s why trust, limits, and trade-offs matter.

Explainable AI (XAI) in Healthcare: Trust, Transparency, and the Limits of AI Decisions

The medical industry is finally stopping the charade of treating software as a tool and starting to treat AI agents as colleagues. 

Why 2026 is the Year Healthcare Finally Hires AI Agents

In Digital Healthcare data platforms, data quality is no longer a nice-to-have — it is a hard requirement.

Architecting Trustworthy Healthcare Data Platforms Using Declarative Pipelines 

Explore effective disaster recovery strategies for healthcare systems facing natural disasters, cyberattacks, and infrastructure failures.

Healthcare Disaster Recovery: What You Need to Know

A look at the proper handling of the medical waste economy.

Why Proper Waste Disposal Is Crucial For Healthcare Businesses

Quality is not about testing everything; quality is about testing what is most important.

Why 100 Percent Test Coverage is Not Possible — Lessons from Testing Banking and Healthcare Systems

Dr. Sateesh Kumar Rongali advances explainable AI and ethical healthcare interoperability, promoting transparent, human-centered systems worldwide.

Explainable AI for Ethical Healthcare Interoperability: Dr. Sateesh Kumar Rongali’s Global Vision

MinIO’s Prompt API in AIStor lets healthcare teams query unstructured data with natural language, speeding research, imaging analysis, and patient care.

How AIStor’s Prompt API Lets Healthcare Professionals “Talk” to Their Data

Raziullah Khan led a unified healthcare data platform integrating EMR, pharmacy, and HR systems—boosting real-time analytics and earning innovation honors.

Transforming Healthcare Analytics Through Enterprise-Scale Data Innovation by Raziullah Khan

An NLP experiment on stemming vs. lemmatization in healthcare text reveals why precision matters more than speed when lives are at stake.

Stemming vs. Lemmatization: What Healthcare Text Data Taught Me About NLP Choices

AI and cloud data engineering are reshaping healthcare, from predictive analytics to real-time monitoring, improving accuracy, efficiency, and patient safety.

Shaping the Future of Healthcare Through AI and Cloud Data Engineering

China's "Agent Hospital” represents a huge leap towards “AI-first” healthcare delivery. 

How China’s AI Hospital is Redefining the Future of Healthcare

Artificial intelligence (AI) is poised to make its largest splash in the healthcare industry. 

How AI Agents in Healthcare Stand to Change the Industry

AI agents are shifting healthcare from paperwork to decision support. Isan Sahoo highlights how they cut burnout, improve care, and build resilient systems.

Modernizing AI Agents for Healthcare: From Documentation to Decision Support

Kawaljeet Singh Chadha cut system crashes by 89% with structured testing, transforming finance and healthcare data reliability and compliance.

The System Whisperer: How Proper Testing Is Fixing Finance and Healthcare Data

Kranthi Kumar Godavarthi shares best practices for building secure, efficient multi-service cloud platforms that transform healthcare and beyond.

Healthcare SaaS Innovator Kranthi Godavarthi Shares Best Practices for Multi-Service Cloud Platform

Harika modernizes legacy healthcare systems with AWS automation, boosting migration speed, security, and reliability through advanced cloud frameworks.

Cloud Engineer Transforms Legacy Healthcare Systems Through Advanced Automation Framework

Dr. Sureshkumar Somanathan drives cybersecurity innovation in healthcare and manufacturing, blending IT leadership with cloud and AI strategies.

Strengthening Cybersecurity in Healthcare and Manufacturing with Dr. Sureshkumar Somanathan

Vikas Gupta’s Telehealth initiative transforms patient care with video visits, remote ICU oversight, and AI-driven safety monitoring at national scale.

HEALTHCRED

https://healthcred.co.in/

2-10 emps

Since 2022

HealthCred's stories on HackerNoon

Top 7 Use Cases of Predictive Analytics in Healthcare

Looking Back at HealthTech Predictions in 2012 : How Accurate Were They?

The Next Generation of Cybersecurity Protection for Healthcare

JAR vs API Integration: Architectural Trade-Offs in Enterprise Healthcare Platforms

Explainable AI (XAI) in Healthcare: Trust, Transparency, and the Limits of AI Decisions

Why 2026 is the Year Healthcare Finally Hires AI Agents

Architecting Trustworthy Healthcare Data Platforms Using Declarative Pipelines

Healthcare Disaster Recovery: What You Need to Know

Why Proper Waste Disposal Is Crucial For Healthcare Businesses

Why 100 Percent Test Coverage is Not Possible — Lessons from Testing Banking and Healthcare Systems

Explainable AI for Ethical Healthcare Interoperability: Dr. Sateesh Kumar Rongali’s Global Vision

How AIStor’s Prompt API Lets Healthcare Professionals “Talk” to Their Data

Transforming Healthcare Analytics Through Enterprise-Scale Data Innovation by Raziullah Khan

Stemming vs. Lemmatization: What Healthcare Text Data Taught Me About NLP Choices

Shaping the Future of Healthcare Through AI and Cloud Data Engineering

How China’s AI Hospital is Redefining the Future of Healthcare

How AI Agents in Healthcare Stand to Change the Industry

Modernizing AI Agents for Healthcare: From Documentation to Decision Support

The System Whisperer: How Proper Testing Is Fixing Finance and Healthcare Data

Healthcare SaaS Innovator Kranthi Godavarthi Shares Best Practices for Multi-Service Cloud Platform

Cloud Engineer Transforms Legacy Healthcare Systems Through Advanced Automation Framework

Strengthening Cybersecurity in Healthcare and Manufacturing with Dr. Sureshkumar Somanathan

How Vikas Gupta’s Telehealth Revolution Is Redefining Healthcare Delivery

The End of Generic Annotation in Healthcare: Cardiac Imaging Shows Why

Representing this company? Click here to claim and customize this page!

Reviews About HealthCred

HealthCred WIKI

Apply to get your Tech Company News Page live on HackerNoon.com today!

Light-Mode

Classic

Newspaper

Minty

Dark-Mode

Neon Noir

Minty

HN StartUps