Healthcare AI’s real bottleneck isn’t intelligence — it’s integration
Drawing on lessons from past initiatives like MD Anderson's $62 million IBM Watson project, the article argues that healthcare AI's true bottleneck is process and systems integration rather than algorithmic intelligence. As healthcare faces upcoming 2027 CMS interoperability mandates for processes like prior authorization, organizations must move beyond simply deploying AI agents to architecting end-to-end workflows across data, intelligence, and operations. For faculty in health administration, medicine, and information systems, this underscores that technological advancement only creates operational value when integrated into the actual work and paired with human clinical judgment.
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