AI Governance for Healthcare Organisations
Set up the committee, the register, the evaluation and the monitoring that AI now requires.
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.
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
Who it is for
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
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
Curriculum
Module 1: Why AI Needs Its Own Governance
1 lessonsWhy AI Needs Its Own GovernancePreview
What existing clinical governance does not cover.
Module 2: Committee, Inventory and Risk Classification
1 lessons- Committee, Inventory and Risk Classification
Module 3: Evaluating Vendor Claims
1 lessons- Evaluating Vendor Claims
Module 4: Defining Intended Use
1 lessons- Defining Intended Use
Module 5: Monitoring After Deployment
1 lessons- Monitoring After Deployment
Module 6: Incidents and Competence Records
1 lessons- Incidents and Competence Records
Duration and structure
6 lessons across 6 modules. Duration is expressed in study hours.
What you receive
This certificate confirms completion of AI Governance for Healthcare Organisations. Duration is expressed in study hours.
Delivery format
- Self-paced — start any time.
- Study on any device.
- Lifetime access to the version you enrolled in.