Training on AI Literacy for Healthcare Staff
Equip healthcare professionals with AI literacy, digital competencies, and practical knowledge to support smarter healthcare delivery.
Next intake
20 Jul 2026 · Nakuru
Duration
5 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Foundation
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
The Training on AI Literacy for Healthcare Staff is a professional capacity-building programme designed to equip healthcare professionals with the knowledge and practical skills required to understand, evaluate, and responsibly apply Artificial Intelligence (AI) in healthcare settings. The programme explores AI fundamentals, clinical and administrative applications, data-driven decision-making, ethical considerations, regulatory compliance, and emerging digital health innovations. Through interactive learning, real-world case studies, and practical exercises, participants will develop the competencies needed to leverage AI technologies to improve patient care, operational efficiency, and healthcare outcomes.
Duration
5 Days
Who Should Attend
- Healthcare administrators and managers
- Doctors and clinicians
- Nurses and allied health professionals
- Health information management officers
- Medical laboratory professionals
- Pharmacists and pharmacy managers
- Health policymakers and regulators
- Digital health and ICT professionals
- Hospital quality assurance teams
What you'll walk away with
By the end of the training, participants will be able to:
- Understand the fundamentals and applications of AI in healthcare
- Identify opportunities for AI adoption in clinical and administrative processes
- Evaluate AI tools for patient care and operational efficiency
- Apply ethical, legal, and governance principles in AI implementation
- Interpret AI-generated insights to support healthcare decision-making
- Develop strategies for responsible AI adoption within healthcare organizations
What we cover, module by module
Module 1: Foundations of Artificial Intelligence in Healthcare
- Introduction to AI concepts and terminology
- AI trends and digital transformation in healthcare
- Opportunities and challenges of AI adoption
- Case Study: AI applications in modern healthcare systems
Module 2: AI Applications in Clinical & Administrative Practice
- AI-powered clinical decision support
- Medical imaging, diagnostics, and patient monitoring
- Workflow automation and operational efficiency
- Practical: Identifying AI use cases within healthcare organizations
Module 3: Healthcare Data, Analytics & Generative AI
- Healthcare data fundamentals and AI readiness
- Electronic Health Records (EHR) and AI integration
- Generative AI for documentation, research, and communication
- Practical: Prompt engineering and responsible AI usage
Module 4: AI Ethics, Governance & Regulatory Compliance
- Ethical principles and responsible AI adoption
- Data privacy, security, and confidentiality
- Bias mitigation, transparency, and accountability
- Case Study: Governance frameworks for AI in healthcare
Module 5: AI Strategy, Implementation & Future Trends
- Developing an AI adoption roadmap
- Change management and workforce readiness
- Measuring AI impact on healthcare delivery
- Emerging technologies and the future of AI in healthcare
- Practical: Developing an organizational AI implementation plan
Where the change lands
Individual Impact
- Improved AI literacy and digital competencies
- Enhanced decision-making through data-driven insights
- Increased confidence in adopting AI-enabled healthcare solutions
Organizational Impact
- Greater operational efficiency and service delivery
- Strengthened digital transformation initiatives
- Responsible and ethical integration of AI technologies into healthcare systems
Dates and locations
Upcoming intakes
Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
NakuruNext | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kigali | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Accra | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Johannesburg | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Dakar | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
- NakuruNext
20 Jul → 24 Jul·In-Person
Book this intake - Kigali
20 Jul → 24 Jul·In-Person
Book this intake - Accra
20 Jul → 24 Jul·In-Person
Book this intake - Kisumu
27 Jul → 31 Jul·In-Person
Book this intake - Johannesburg
27 Jul → 31 Jul·In-Person
Book this intake - Dakar
27 Jul → 31 Jul·In-Person
Book this intake
Common questions.
Still not sure? Send us a note and a facilitator will get back to you within a business day.
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Course finder
Find the right course for you
Prefer to talk it through? Send us an enquiry and a facilitator will scope a fit within a business day.
For corporate teams
Training 10+ professionals?
We deliver Training on AI Literacy for Healthcare Staff in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.