Building Trustworthy AI Systems For Regulated Healthcare Environments

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Summary

This article examines how AI can work inside regulated healthcare environments without creating compliance or safety risks. It focuses on Oracle Health engineer Manu Agrawal and her work on agentic AI for clinical and operational workflows. The piece highlights practical use cases such as care-gap closure, workflow automation, cohort discovery, and trial intelligence. It also explains why healthcare AI needs governance, orchestration, and human oversight built into the architecture from the start. The main message is that trusted AI systems, not clever models alone, will drive real adoption in hospitals and healthcare systems.

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