Summary Human oversight is essential for ensuring that AI systems in healthcare remain safe, transparent, and HIPAA-compliant. This blog explores […]
Top 7 Data Quality Issues in Healthcare AI (and How to Fix Them)
Key Takeaways Data quality issues in healthcare AI are not primarily a machine learning problem. They begin before model training […]
How to Evaluate Infrastructure Vendors Before Signing a BAA | HIPAA Compliance Guide
Key Takeaways A BAA (Business Associate Agreement) is a legal requirement under HIPAA. If your vendor won’t sign one, walk […]
How to Log AI-Generated Medical Summaries to Satisfy HIPAA Security Audits
Key Takeaways AI-generated medical summaries are a HIPAA audit flashpoint; every generation, access, and edit event must be logged. Logs […]
Comparing the HIPAA Compliance Risks of On-Device AI vs Cloud-Based APIs
Key Findings On-device AI runs inference entirely on the hardware, no PHI crosses a network, eliminating third-party vendor risk at […]
Managing Patient Data in AI Systems: Storage, Access, and Security Layers
Patient data management in AI systems requires three foundational layers: secure storage (HIPAA-compliant cloud or on-premise), controlled access (role-based permissions […]