AI Governance for Healthcare is a six-week specialisation for the people responsible for AI where the stakes are a patient’s body, not a customer’s click. It moves past general principles into the specific decisions healthcare makes — who gets triaged first, which scan is flagged, which drug dose is suggested, who is predicted to deteriorate — and shows how to govern the models now sitting behind those decisions. The course is built for the Nigerian context: the Nigeria Data Protection Act 2023 and a watching NDPC, the medical-device and product oversight of NAFDAC, the professional duties enforced by the Medical and Dental Council of Nigeria, the claims and coverage role of the NHIA, and the daily reality of teaching hospitals in Lagos, Ibadan and Abuja.
By the end you will be able to identify where AI already shapes clinical and administrative decisions in your facility, navigate the regulatory and patient-data landscape, run a clinical risk and impact assessment on a diagnostic or triage tool, embed responsible-AI safeguards into care pathways, audit a deployed healthcare AI system, manage an AI incident that reaches a patient, and stand up a full enterprise healthcare AI governance programme.
For: Hospital medical directors and clinical governance leads, health-system quality and safety officers, data protection officers, biomedical and health-informatics teams, hospital risk and compliance managers, HMO and NHIA-facing administrators, and the executives accountable for patient safety.