AI for Healthcare Professionals
Health Sciences · Digital Health
Built for clinicians, administrators, and health innovation teams who need fluency without a deep technical prerequisite.
Explain common AI use cases in triage, documentation, and diagnostic support.
Assess governance risks around fairness, privacy, and auditability.
Map clinical workflows before introducing automation.
Write an implementation brief for a hospital or ministry pilot.
Requirements
No coding required.
Basic familiarity with healthcare operations is helpful.
Ideal for policy, hospital, or digital transformation teams.
Section 1
Clinical workflows and AI opportunities
Where AI fits in the care pathway
Video · 14m
Prompting, summarisation, and documentation
Video · 18m
Clinical safety checklist
Reading · 12m
Section 2
Governance and adoption
Bias, explainability, and accountability
Video · 22m
Stakeholder map workshop
Project · 36m
Operational readiness quiz
Quiz · 15m
Farah Idris
Health Innovation Lead
This course gives non-technical leaders the exact vocabulary needed to evaluate vendor claims and shape safe adoption.
Elliot Ng
Hospital Operations Manager
The workflow mapping exercise alone was worth it. It made our pilot planning materially better.
How AI support tools fit into the clinical workflow
A preview lecture and curriculum walkthrough to help you judge fit before you enrol.
Associate Professor of Digital Health
Marcus designs executive education and postgraduate programmes at the intersection of health systems, clinical operations, and AI-enabled care delivery.
18.4k
Learners
4
Courses
4.8
Rating
