AI in Healthcare Management
Overview
AI is entering every part of healthcare, from scheduling and patient flow to clinical decision support and population health. This course is for healthcare managers who must decide where AI fits in their organisation, how to evaluate solutions, and how to manage the safety, ethical and regulatory questions involved.
Who should attend
Hospital and clinic managers, health directorate officials, quality and patient safety leads, and health IT managers.
Training methodology
Facilitated discussion, practical frameworks, case studies from different sectors, group exercises, short demonstrations of AI tools, and an action plan for each participant's organisation.
Objectives
By the end of this course, participants will be able to:
- Review AI applications in healthcare operations and care
- Improve patient flow and resource planning with AI
- Evaluate clinical AI solutions as a manager
- Manage patient safety, privacy and ethics
- Plan AI adoption in a healthcare organisation
Course outline
Day 1AI in Healthcare
- Landscape of applications
- Evidence and hype
- Health data foundations
- Examples
- National health strategies
- Readiness of facilities
Day 2Operations and Patient Flow
- Scheduling and no-shows
- Bed and theatre management
- Staff rostering
- Case study
- Emergency department flow
- Supply management
Day 3Clinical Support
- Imaging and diagnostics support
- Clinical documentation
- Risk prediction
- Evaluating solutions
- Population health
- Telemedicine
Day 4Safety, Ethics and Regulation
- Patient safety and oversight
- Privacy and consent
- Regulatory approval
- Discussion
- Liability
- Clinical governance
Day 5Implementation
- Business case and procurement
- Clinician engagement
- Monitoring outcomes
- Action plan
- Training staff
- Partnerships
