AI in Healthcare Compliance
Course Rating
Active Learners
What's included in this Course
- 5 Articles
- Access on Mobile and PC
- 5 Exercises and 1 Final Quiz
- Life Time Access
AI in Healthcare Compliance Course Overview
The AI in Healthcare Compliance course covers artificial intelligence in healthcare, healthcare compliance principles, governance, accountability, and the role of AI within modern healthcare compliance programs.
The curriculum covers the France and EU regulatory framework for healthcare AI, including GDPR, health data protection, patient rights, EU AI Act requirements for high-risk healthcare AI systems, French healthcare regulations, CNIL, HAS, ANSM, the European Health Data Space (EHDS), and secondary health data use.
The course also explores clinical decision support, predictive analytics, generative AI, health data management, AI model validation, explainability, bias management, privacy, cybersecurity, and secure AI deployment. Further topics include AI procurement, vendor due diligence, governance, risk assessment, lifecycle management, human oversight, clinical accountability, incident management, audit trails, ethical AI, regulatory inspections, compliance monitoring, France-based healthcare AI case studies, and emerging compliance challenges.
What Is Included in This Course?
The course covers five key areas of AI in healthcare compliance:
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AI and Healthcare Compliance Foundations
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France and EU Healthcare AI Regulation
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AI Technologies and Compliance Controls
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AI Implementation and Risk Management
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Auditing, Ethics, and Emerging AI Risks
Course Curriculum
6 sections 2.5 Hours total length
Module 1: Foundations of AI in Healthcare Compliance
- Introduction to Artificial Intelligence in Healthcare
- History and Evolution of AI in Healthcare Systems
- Healthcare Compliance Principles, Governance, and Accountability
- The Role of AI in Modern Healthcare Compliance Programs
Module 2: France and EU Regulatory Framework for Healthcare AI
- GDPR, Health Data Protection, and Patient Rights
- EU AI Act Requirements for High-Risk Healthcare AI Systems
- French Healthcare Regulations, CNIL, HAS, and ANSM Oversight
- European Health Data Space (EHDS) and Secondary Health Data Use
Module 3: AI Technologies, Data Management, and Compliance Controls
- Clinical Decision Support, Predictive Analytics, and Generative AI
- Health Data Collection, Processing, and Data Quality Requirements
- AI Model Validation, Explainability, and Bias Management
- Privacy, Cybersecurity, and Secure AI Deployment in Healthcare
Module 4: Operational Implementation and Risk Management
- AI Procurement, Vendor Due Diligence, and Contract Compliance
- Implementing AI in Healthcare Compliance: Governance, Risk Assessment, and Lifecycle Management
- Human Oversight, Professional Responsibility, and Clinical Accountability
- Incident Management, Audit Trails, Monitoring, and Corrective Actions
Module 5: Auditing, Ethics, and the Future of Healthcare AI Compliance
- Ethical Principles, Transparency, and Trustworthy AI in Healthcare
- Internal Audits, Regulatory Inspections, and Compliance Monitoring
- Real-World France-Based Healthcare AI Case Studies and Lessons Learned
- Future Trends: Generative AI, Digital Health Innovation, and Emerging Compliance Challenges
Mock Quiz
What you'll learn
Why Choose Us
Who is this course for
Requirements
Certification
Upon successful completion of this course, learner will receive a free Certificate of Completion. Learner can choose the preferred language of the certifcate whether they want it in english or french.
