AI in Healthcare & Medical Law: Key Legal Applications and Risks

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About Course

This 1-hour CLE course provides a focused, practical look at how Artificial Intelligence (AI) is being applied in healthcare and its intersection with medical law. Participants will explore AI’s role in malpractice risk management, patient data protection, regulatory compliance, and antitrust oversight in medical markets. 

The session blends real-world case examples with clear legal analysis, equipping attendees to evaluate AI’s implications for healthcare providers, insurers, and technology companies. Participants will leave with an actionable understanding of both the opportunities and the legal challenges surrounding AI in healthcare. 

Learning Objectives: 
By the end of this course, participants will be able to: 

  1. Identify AI technologies shaping healthcare and their legal implications.
  2. Understand AI’s role in malpractice risk detection and patient data protection.
  3. Apply HIPAA, FDA, and FTC frameworks to AI-enabled systems.
  4. Recognize how AI detects anti-competitive practices in healthcare markets.
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What Will You Learn?

  • Key AI applications in malpractice, data security, and compliance.
  • Case examples of AI in healthcare legal contexts.
  • Risk mitigation strategies for bias, transparency, and regulatory compliance.

Course Content

Welcome & Overview
Introductions Participation instructions and materials access

Section 1: AI Foundations in Healthcare
Overview of AI types in medical contexts (ANI, AGI, ASI) Applications in diagnostics, predictive analytics, and compliance tasks

Section 2: AI in Medical Malpractice & Patient Data Security
AI for malpractice claim prevention and defense HIPAA compliance and AI-driven data handling Case examples of AI-related breaches and litigation outcomes

Section 3: AI in Regulatory Compliance & Market Oversight
AI in FDA and CMS compliance monitoring Fraud and abuse detection in billing/coding Detecting anti-competitive practices in healthcare markets

Section 4: Risks, Ethics, and Policy Readiness
Algorithmic bias and transparency AI “hallucinations” in healthcare contexts Key regulatory updates: FDA guidance, FTC policy, EU AI Act

Q&A and Wrap-Up
Audience-submitted questions Summary and key takeaways Post-session survey instructions

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