HIPAA & AI for Healthcare Leaders

• Chapter 1.1: Overview of HIPAA Regulations and Structure

• Chapter 1.2: Key Definitions: PHI, Covered Entities, Business Associates

• Chapter 1.3: Privacy Rule vs. Security Rule

• Chapter 2.1: What is AI? Types of AI in Healthcare

• Chapter 2.2: Use Cases – Diagnostics, Workflow Automation, Predictive Analytics

• Chapter 2.3: Intersections of AI and Protected Health Information (PHI)

• Chapter 3.1: Data Collection, Storage, and Consent

• Chapter 3.2: De-identification and Re-identification Risks

• Chapter 3.3: AI Model Training and Data Sharing Compliance

• Chapter 4.1: Performing a HIPAA Risk Analysis with AI Systems

• Chapter 4.2: Role-Based Access, Audit Trails, and Monitoring

• Chapter 4.3: Vendor Management and Business Associate Agreements (BAAs)

• Chapter 5.1: AI Vendor Vetting and Evaluation

• Chapter 5.2: Policy Frameworks and Staff Training

• Chapter 5.3: Incident Response and Breach Reporting Procedures

• Chapter 6.1: Policy Trends – ONC, HHS, EU AI Act Implications

• Chapter 6.2: AI Explainability and Ethical Considerations

• Chapter 6.3: Building a Leadership Strategy for AI in Healthcare

~Video content aligned with weekly modules

• Introduction to HIPAA for Healthcare Leaders

• HIPAA Privacy Rule Essentials

• HIPAA Security Rule Explained

• Key Definitions: PHI, Covered Entities, BAAs

• AI in Healthcare: Definitions and Categories

• Use Cases: Diagnostics, Scheduling, Patient Engagement

• Where AI Meets HIPAA: Data, Models, and Risk

• De-identification Standards Under HIPAA

• Summary & Regulatory Overview Recap

• AI Data Pipelines and HIPAA Risks

• Model Training, Consent, and PHI Governance

• Re-identification Risks in Generative AI

• Performing HIPAA-Compliant Risk Analysis

• Access Control, Logging, and Auditing in AI Workflows

• Managing Business Associate Agreements for AI Vendors

• Building an AI Risk Mitigation Plan

• Vetting AI Vendors and Technology Partners

• Designing HIPAA-Compliant AI Workflows

• Staff Training and Awareness for AI Integration

• Incident Response Plans for AI Systems

• Future Regulations: HHS, ONC, and Global Trends

• Ethical Considerations in Medical AI

• Leadership Briefing: Building a Governance Framework

• Final Review: Strategic Playbook for AI in Healthcare

• Closing Session: From Compliance to Competitive Advantage

Title: Foundations of HIPAA and Emerging AI Risks
Duration: 60 minutes
Focus: Core HIPAA principles, PHI, and the growing impact of AI on compliance
Guest: Healthcare Privacy Officer or Regulatory Affairs Expert
Interactive: Live HIPAA violation spotting exercise using AI case examples

Title: Managing Data & Risk in AI-Enabled Healthcare Systems
Duration: 75 minutes
Focus: Governance, data flow oversight, and auditing in AI workflows
Guest: Chief Compliance Officer or Healthcare Data Security Consultant
Interactive: Breakout session to map AI data flows and identify risk points

Title: Leading AI Strategy with Compliance & Confidence
Duration: 90 minutes
Focus: Implementing and scaling AI while ensuring HIPAA alignment
Guest Panel: Hospital CIO + AI Vendor CEO + Legal Advisor
Interactive: Live leadership Q&A and policy response simulation

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