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Guest Perspective · Curated

How to Unlock AI's Potential in Healthcare

A practitioner perspective by Mitchell Kentor, Endeavor Health.

The argument

Most organizations see no ROI from AI because they lack governance and clinical leadership. A physician-led governance model shows a replicable framework: prioritize clinical input and empower fast cross-functional decisions.

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 Mitchell Kentor 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.

Author & publication credit. This is HealthTech Cube's editorial summary of a guest article written by Mitchell Kentor, Endeavor Health and first published by Chief Healthcare Executive (June 2026). The argument and all underlying ideas belong to the author; the full original piece, which we recommend reading, is available at Chief Healthcare Executive ↗. This page contains our own summary and commentary, not a reproduction of the original work.