As U.S. health systems move beyond AI pilots, governance gaps, workflow friction, and unclear ownership are ending initiatives long before they publicly fail. By USHealthcareToday Editorial Desk In public forums, healthcare artificial intelligence is often framed as a story of rapid progress and inevitable adoption. Health systems announce pilots. Vendors release case studies. Boards ask...
Category: News & Analysis
Why Most Healthcare AI Programs Don’t Fail—They’re Quietly Shut Down
Why Healthcare Leaders Are Abandoning Long-Term Digital Roadmaps
In an era of regulatory volatility, margin pressure, and rapid AI adoption, static multi-year technology plans are giving way to adaptive execution models. For years, healthcare digital transformation followed a familiar script. Health systems published three- to five-year roadmaps outlining EHR optimization, interoperability goals, analytics maturity, and patient engagement initiatives. Today, many of those roadmaps...
U.S. Healthcare Isn’t Broken—It’s Operating Exactly as Designed
Rising costs, fragmentation, and administrative complexity are not system failures but predictable outcomes of long-standing financial and policy incentives. For decades, U.S. healthcare has been described as dysfunctional—too expensive, too complex, and too fragmented to deliver consistent outcomes. But framing the system as “broken” misses a more uncomfortable truth. American healthcare is producing exactly the...



