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…
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…
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…
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 …
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…
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 Our system is failing nursing home residents, the most vulnerable population, by dragging out an outdated, ineffici…
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 …
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…
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…
The real limitation of clinical AI isn’t the model; it’s the context. AI can draft notes, flag interactions, and read scans. However, when it comes to understanding the patient in front of you, it’s still a matter of working in the da…
