Laying the Groundwork for Smarter AI in Clinical Care: 4 Essentials
A practitioner perspective by Angela Adams, CEO, Inflo Health.
The argument
Most health systems experiment with AI, but few frontline clinicians think current tools meet real needs. The fix is a four-part framework: target high-impact use cases, balance quick wins with infrastructure modernization, hire clinical-technical bridge leaders, and engage clinicians to build trust.
Why we picked it
The HTC editorial desk curates practitioner perspectives that pass a simple test: would a health system executive, product leader, or investor act differently after reading it? This piece by Angela Adams earns its place - it comes from the operating trenches of ai & diagnostics, not the conference stage, and it takes a position specific enough to disagree with.
The bigger picture
The AI adoption question runs through every executive conversation in 2026. The evidence base is finally arriving: the largest controlled study of ambient documentation, published in JAMA, found clinicians saved 16 minutes of documentation time per day - but only a third of users hit the usage threshold for maximum benefit (our coverage). Meanwhile Rock Health has stopped labeling AI as a differentiator at all, because every company claims it - which is exactly why operating discipline of the kind described here separates winners from demo-ware.
Read it alongside our own reporting in AI & Diagnostics, where the data behind this debate is covered daily on the HTC Wire.