Hospitals are adopting Gen AI across EHR workflows, but hallucinations, bias, and weak governance pose real patient safety risks.

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Hospitals adopting GenAI for EHR workflows face significant patient safety risks from hallucinations, bias, and inadequate governance. Four implementation approaches exist: free public models (unacceptable for clinical use due to HIPAA violations), private instances of public models (useful for collaboration but requiring validation), embedded SDK/API solutions (constrained workflows with vendor dependency), and bespoke models (resource-intensive but controlled). Each approach carries distinct cybersecurity and compliance risks mapped to OWASP Top 10 for GenAI. Organizations must balance efficiency gains against patient safety by implementing appropriate governance frameworks rather than rushing deployment.

How Hospitals’ Use of GenAI is Putting Patients at Risk Without Realizing It

The Four Basic AI Implementation Approaches for Hospitals & Health Systems

2. Private Instances Leveraging Public Model Infrastructure

3. Embedded SDK (Software Development Kit) / API (Application Programming Interface)

4. Bespoke Model Implementation From Scratch

Comparing the Four Approaches Across Four Parameters

Cyber and Compliance Driven Implementation Approach Based on Risk Summary Grid