The promise of AI is clear, but so are the risks. AI can amplify bias, disrupt internal controls, and create regulatory exposure without intentional oversight.
The compliance blind spots AI can create: such as Bias and discrimination in clinical algorithms, Data integrity challenges across fragmented systems, Overreliance on outputs without human oversight etc.
Risk assessments: These assessments should consider: Use case validity and clinical justification, Data source quality and integrity, Privacy implications and HIPAA alignment, Controls for continuous monitoring and auditability.
A healthcare-specific approach to AI oversight, Healthcare brings layered regulatory obligations, life-or-death consequences and a uniquely complex data environment. Any AI governance program must account for:
1.HIPAA compliance and patient confidentiality.
2.Medical device and vendor risk.
3.Care delivery standards and reimbursement protocols.
4.Clinical outcomes and patient equity.