I’ve been digging into healthcare AI systems lately and one thing feels obvious but weirdly ignored. Single-model setups just don’t work well for preventive care. Most apps are built around one model that tries to monitor, predict, and recommend actions. Sounds efficient, but in reality it breaks down fast. Either the alerts come too late, or everything turns into noise. What actually makes more sense is a multi-agent setup. One agent watches incoming data. Another looks for patterns and risk. Another decides if something needs action. Another handles communication or follow-ups. Each piece does one job, and they pass signals between each other. This matters more than it sounds. Preventive care is all about timing. If your system is slow or confused, you miss the window. Also noticed that teams trying to build everything at once struggle the most. The ones that start with a single workflow and then add agents gradually seem to get it right. Feels like healthcare AI is moving in this direction, just not fast enough (at least it doesn’t seme like it, not right now) submitted by /u/biz4group123
Originally posted by u/biz4group123 on r/ArtificialInteligence
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