Category: Health IT

How Mark Twain would dismantle today’s flawed medical AI

Mark Twain (Samuel Clemens) spent his youth deciphering the Mississippi River, a system far more complex than any artificial intelligence (AI) algorithm. He learned that real understanding demands nuance, context, and skepticism. Were he alive today, h…

9 domains that will define the future of medical education

A comprehensive 2025 framework on medical education reform has laid bare a critical challenge: The traditional path to becoming a doctor is failing to meet the demands of modern health care. The consequences are stark: 70 percent of medical students re…

Key strategies for smooth EHR transitions in health care

Healthcare organizations continue to face financial and operational efficiency pressures to implement or upgrade their electronic health record (EHR) systems, driven largely by the push for greater interoperability and the need to consolidate disparate…

Why flashy AI tools won’t fix health care without real infrastructure

There’s a growing disconnect between the promises being made about artificial intelligence in health care and what’s being delivered. If you’re a health system leader, it’s time to take a discerning view—not because AI lacks potential, but becaus…

Why innovation in health care starts with bold thinking

Let’s bust a myth: Health care is not just about rules, protocols, and playing it safe. In fact, real breakthroughs happen when we dare to think differently. Whether it’s improving patient outcomes, solving staffing gaps, or designing more …

How self-improving AI systems are redefining intelligence and what it means for health care

Artificial intelligence is rapidly evolving, poised to reshape research, health care delivery, and medical decision-making. A new interactive slideshow delves into this shift, highlighting self-improving AI systems like the Darwin Gödel Machine and aut…

How blockchain could rescue nursing home patients from deadly miscommunication

Imagine a health care team treating your elderly loved one—without the full picture. This is the reality of the U.S. health care system. Our system is failing nursing home residents, the most vulnerable population, by dragging out an outdated, ineffici…

Why fixing health care’s data quality is crucial for AI success [PODCAST]

Subscribe to The Podcast by KevinMD. Watch on YouTube. Catch up on old episodes! Physician executive Jay Anders discusses his article, “Health care’s data problem: the real obstacle to AI success.” Jay asserts that the transformative …

How AI is revolutionizing health care through real-world data

Turning real world data into insights A lot has been said and written about the potential of artificial intelligence (AI) to advance and improve health care. And while there are still many challenges to overcome and questions to answer, one area in par…

Ambient AI: When health monitoring leaves the screen behind

A quiet revolution is taking place in health care technology. AI is shedding its screen-bound constraints and stepping into forms that blend seamlessly into our lives—rings, glasses, pendants, earbuds. These “ambient” devices collect real-t…