HIPAA & AI for Healthcare Leaders
Strategic Program on Balancing AI Innovation and Privacy Compliance in Digital Healthcare
Early access to e-LMS included
About This Course
“HIPAA & AI for Healthcare Leaders” is a comprehensive leadership program that navigates the intersection of AI-driven innovation and healthcare data privacy laws, especially the Health Insurance Portability and Accountability Act (HIPAA).
This program addresses how AI applications in healthcare—like diagnostic algorithms, predictive analytics, chatbots, and EHR automation—can be deployed ethically, legally, and securely, maintaining patient trust and institutional integrity. It includes real-world case studies, risk mitigation frameworks, and compliance checklists to guide responsible AI integration.
Aim
To equip healthcare leaders with the regulatory insight, ethical understanding, and practical strategies needed to responsibly implement Artificial Intelligence (AI) while ensuring full HIPAA compliance and safeguarding patient privacy.
Program Objectives
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Enable healthcare leaders to drive AI innovation responsibly
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Bridge the gap between data science and legal compliance
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Mitigate risks of privacy violations in AI-powered environments
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Support creation of transparent and auditable AI workflows
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Promote long-term digital trust in healthcare institutions
Program Structure
Week 1: Foundations of HIPAA and AI in Healthcare
Module 1: HIPAA Essentials for Decision-Makers
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Chapter 1.1: Overview of HIPAA Regulations and Structure
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Chapter 1.2: Key Definitions: PHI, Covered Entities, Business Associates
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Chapter 1.3: Privacy Rule vs. Security Rule
Module 2: Introduction to AI in Healthcare
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Chapter 2.1: What is AI? Types of AI in Healthcare
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Chapter 2.2: Use Cases – Diagnostics, Workflow Automation, Predictive Analytics
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Chapter 2.3: Intersections of AI and Protected Health Information (PHI)
Week 2: Compliance and Risk Management in AI-Enabled Systems
Module 3: HIPAA Compliance Challenges with AI
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Chapter 3.1: Data Collection, Storage, and Consent
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Chapter 3.2: De-identification and Re-identification Risks
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Chapter 3.3: AI Model Training and Data Sharing Compliance
Module 4: Risk Assessment and Governance
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Chapter 4.1: Performing a HIPAA Risk Analysis with AI Systems
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Chapter 4.2: Role-Based Access, Audit Trails, and Monitoring
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Chapter 4.3: Vendor Management and Business Associate Agreements (BAAs)
Week 3: Strategic Integration and Leadership Planning
Module 5: Implementing AI in HIPAA-Compliant Workflows
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Chapter 5.1: AI Vendor Vetting and Evaluation
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Chapter 5.2: Policy Frameworks and Staff Training
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Chapter 5.3: Incident Response and Breach Reporting Procedures
Module 6: Future-Proofing Healthcare with AI
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Chapter 6.1: Policy Trends – ONC, HHS, EU AI Act Implications
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Chapter 6.2: AI Explainability and Ethical Considerations
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Chapter 6.3: Building a Leadership Strategy for AI in Healthcare
Who Should Enrol?
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Hospital and clinic administrators
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Health IT and digital innovation leaders
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Compliance and privacy officers
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Health data scientists and AI developers
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Policy professionals and healthcare lawyers
Program Outcomes
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Understand HIPAA rules relevant to AI in healthcare settings
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Build frameworks for assessing AI applications for privacy risks
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Integrate responsible AI governance with legal and ethical oversight
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Develop data handling and vendor practices that uphold patient trust
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Receive a professional certificate in “HIPAA-Compliant AI in Healthcare Leadership”
Fee Structure
Discounted: ₹21499 | $249
We accept 20+ global currencies. View list →
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- 1:1 project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
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