Lilly Tech Systems
HIPAA Compliance for AI
Learn how to build, deploy, and manage AI systems that comply with the Health Insurance Portability and Accountability Act. From understanding PHI in AI contexts to implementing technical safeguards and Business Associate Agreements — ensure your healthcare AI solutions meet regulatory requirements.
Your Learning Path
Follow these lessons in order to master HIPAA compliance in AI systems.
1. Introduction
Overview of HIPAA regulations, their relevance to AI, and why compliance matters for healthcare AI systems.
2. PHI in AI
Understanding Protected Health Information in AI contexts — what constitutes PHI, de-identification, and data handling.
3. Technical Safeguards
Encryption, access controls, audit logs, and infrastructure requirements for HIPAA-compliant AI systems.
4. Business Associate Agreements
Structuring BAAs with AI vendors, cloud providers, and third-party services handling PHI.
5. Risk Assessment
Conducting HIPAA risk assessments for AI systems — threat analysis, vulnerability identification, and mitigation.
6. Best Practices
Comprehensive guidelines for maintaining HIPAA compliance throughout the AI lifecycle.
What You'll Learn
By the end of this course, you'll be able to:
Identify PHI in AI Systems
Recognize what data constitutes Protected Health Information and how AI processing affects compliance.
Implement Safeguards
Apply technical, administrative, and physical safeguards required by HIPAA for AI deployments.
Structure BAAs
Draft and negotiate Business Associate Agreements with AI vendors and cloud providers.
Assess and Mitigate Risk
Conduct thorough risk assessments and implement ongoing compliance monitoring for AI systems.