AI Governance for Healthcare Organisations

1. Program overview

Clinical AI is arriving in healthcare organisations faster than the governance to control it. This course covers the organisational layer: establishing an AI oversight committee with the right membership, maintaining an inventory of deployed systems, evaluating a vendor's claims before purchase, defining intended use and population, setting monitoring and drift detection, handling AI-related incidents, and documenting staff competence. It addresses emerging regulatory expectations including risk classification and demonstrable training records, and is written for quality, informatics and management staff who have to make this real.

2. Why this program

• The organisational layer, not the clinical one.
• Covers vendor evaluation before purchase.
• Includes monitoring, drift and incident handling.
• Written against emerging regulatory expectations.

3. Who it is for

Healthcare Manager · Quality Officer · Physician · Accreditation Lead · Nurse

4. Program objectives

• Establish an AI oversight committee with appropriate membership and remit
• Maintain an inventory and risk classification of deployed AI systems
• Evaluate vendor performance claims critically before procurement
• Define intended use, population and limits for a deployed system
• Design post-deployment monitoring including drift detection
• Handle and report an AI-related patient safety incident

5. Learning outcomes

• Design an AI oversight committee membership for a described organisation
• Classify a described AI system by risk and required controls
• Evaluate a vendor performance claim for methodological weakness
• Specify monitoring metrics for a deployed clinical AI system
• Apply an incident process to a described AI-related event
• Document staff competence requirements for a given AI deployment

6. Curriculum

1. Module 1: Why AI Needs Its Own Governance

   • Why AI Needs Its Own Governance

2. Module 2: Committee, Inventory and Risk Classification

   • Committee, Inventory and Risk Classification

3. Module 3: Evaluating Vendor Claims

   • Evaluating Vendor Claims

4. Module 4: Defining Intended Use

   • Defining Intended Use

5. Module 5: Monitoring After Deployment

   • Monitoring After Deployment

6. Module 6: Incidents and Competence Records

   • Incidents and Competence Records

7. Duration and structure

Total study hours: 4 — 3.25h content + 0.75h assessment. Duration is expressed in study hours only.

9. What you receive

This certificate confirms completion of AI Governance for Healthcare Organisations. Duration is expressed in study hours.

10. Delivery format

Self-paced · start any time · any device · lifetime access to the enrolled version.