AI

Why Healthcare AI Systems Fail After Deployment

By Tharun Kumar Nallamothu – Lessons from Real Clinical Environments – Artificial intelligence in healthcare has reached a point where technical capabilities are no longer the primary limitation. Models can transcribe clinical conversations, extract insights, and support decision-making with increasing accuracy.







Faster Adoption of the Best Care for Everyone

New On Demand Dr. Nick: The Incrementalist: With guest Tom Stanis, CEO of StoryHealth, a company that combines virtual care, remote monitoring, and AI to bridge the data gap between health system specialists, primary care doctors, and patients to extend care for patients with…


Two Sides of the AI/ML Coin in Health Care

By Kathryn Marchesini, Jeff Smith, & Jordan Everson – As we’ve previously discussed, algorithms—step by step instructions (rules) to perform a task or solve a problem, especially by a computer—have been widely used in health care for decades. One clear use of these algorithms is through evidence-based, clinical decision support interventions.