Certified Professional in Healthcare Artificial Intelligence
Applying AI safely and effectively in clinical and hospital settings.
📘Program Overview
The Certified Professional in Healthcare Artificial Intelligence (CPHAI) program equips healthcare professionals with the knowledge, skills, and confidence to apply artificial intelligence (AI) solutions within hospital and clinical environments.
The program balances technical literacy with practical, ethical, and governance considerations so that participants can evaluate, implement, and oversee AI tools that genuinely improve care, efficiency, and decision-making.
🎯Program Rationale
- AI is rapidly transforming diagnostics, operations, and administration in healthcare.
- Clinicians and managers need literacy to adopt AI safely and critically.
- Governance, ethics, and data quality determine whether AI helps or harms.
- Practical implementation skills bridge the gap between hype and value.
👥Target Audience
- Physicians, nurses, and allied health professionals
- Quality, informatics, and IT professionals in healthcare
- Healthcare managers and decision-makers
- Data and analytics staff supporting clinical services
- Professionals exploring AI adoption in healthcare
✅Program Objectives
- Explain core AI concepts and their healthcare applications.
- Evaluate AI tools for clinical and operational use.
- Address data quality, privacy, ethics, and governance in AI.
- Support safe implementation and monitoring of AI solutions.
- Recognize limitations, bias, and risks of AI in healthcare.
🏆Learning Outcomes
- Assess where AI can add value across the care pathway.
- Apply governance and ethical frameworks to AI use.
- Collaborate with technical teams on AI deployment.
- Monitor AI performance and manage associated risks.
- Communicate AI capabilities and limitations to stakeholders.
📚Program Structure
- Module 1: Foundations of AI in Healthcare
- Core concepts: machine learning, deep learning, NLP
- Where AI fits across the care pathway
- Current healthcare AI use cases
- Module 2: Data, Quality & Privacy
- Healthcare data types and quality
- Privacy, security, and consent
- Data governance for AI
- Module 3: Clinical & Operational Applications
- AI in diagnostics and decision support
- AI in operations, scheduling, and administration
- Evaluating clinical evidence for AI tools
- Module 4: Ethics, Bias & Governance
- Algorithmic bias and fairness
- Ethical frameworks for healthcare AI
- Governance, accountability, and regulation
- Module 5: Implementation & Monitoring
- Implementation planning and change management
- Monitoring AI performance and safety
- Managing risk and limitations
📝Assessment & Certification
- Module knowledge checks
- AI tool-evaluation exercise
- Ethics and governance case analysis
- Final comprehensive examination
🚀Capstone / Practical Project
Evaluate a candidate AI use case for a healthcare setting and produce an adoption proposal addressing value, data, ethics, governance, and monitoring.
⏱Program Duration
- Total: 24 Hours
- 16 Hours: instruction and workshops
- 8 Hours: applied evaluation and case work
🖥Delivery Modes
- On-Site: Interactive instructor-led workshops, simulations, and applied labs.
- Live Online: Real-time virtual classroom sessions led by an instructor.
- Blended: A combination of live sessions and self-paced digital modules.
Certified Professional in Healthcare Artificial Intelligence (CPHAI)
🏥Organizational Impact
- More informed, safer AI adoption
- Stronger data governance and ethics
- Better evaluation of AI vendors and tools
- Realized efficiency and quality gains
📈Career Pathway
- Healthcare AI / Informatics Officer
- Clinical Innovation Specialist
- Digital Health Project Lead
- Quality & Analytics Partner
Exam Fee: $930 · Study Material: $195