MedCity News December 31, 2025
We can and must do better to make sure our smart new tools actually do see the individual – by making them as transparent, unbiased, and compassionate as the caregivers we would want for our own families.
AI-driven decision tools are increasingly determining what post-acute care services patients receive, and what they don’t. As a health tech CEO working with hospitals, skilled nursing facilities (SNFs), and accountable care organizations (ACOs) nationwide, I’ve witnessed algorithms recommending against needed services in ways that raised red flags. In one striking case, an insurer’s software predicted an 85-year-old patient would recover from a serious injury in precisely 16.6 days. On day 17, payment for her nursing home rehab was cut off, even though she...
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