Anyone else noticing healthcare AI conversations shifting away from models?

Reddit r/AI_Agents News
healthcare ai-adoption data-infrastructure enterprise-data phi payors

Summary

Observations from conversations with healthcare payors indicate a shift in focus from AI models to data readiness, PHI handling, and integration across disparate systems.

I've been in a bunch of conversations with healthcare payors over the last few weeks, and one thing really stood out. A year ago, everyone wanted to talk about models. Now it feels like nobody starts there. The questions are more like: How do we handle PHI? How do we make data usable for AI? How do we deal with different systems that all speak different languages? How do we keep the business context instead of just feeding raw data into a model? Honestly, the model almost feels like the easy part now. The hard part seems to be getting enterprise data into a state where AI can actually use it reliably. Is anyone else seeing this shift, or am I just spending too much time talking to healthcare IT teams?
Original Article

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