The e-Learning for Healthcare (elfh) Digital Clinical Safety Officer training is a free NHS-backed e-learning programme covering digital clinical safety principles, risk management, and DCSO responsibilities. Highly relevant for clinicians working with or overseeing clinical AI systems.
NHS Fellowships
Fellowships offer a structured route into clinical AI leadership and innovation within the NHS. The programmes below are particularly relevant to clinicians and healthcare professionals looking to develop expertise in digital health and AI.
NHS Fellowship in Clinical AI
A national fellowship programme for NHS clinicians to develop expertise in clinical AI — covering evaluation, safety, governance, and deployment of AI in health and care settings.
nhsfellowship.ai →NHS Innovation Accelerator (NIA)
NHS England programme supporting the uptake of high-impact innovations including AI and digital health tools at scale across the health system.
NHS Innovation Accelerator →NHS Clinical Entrepreneur Programme
Supports NHS clinicians and staff developing innovative solutions — including AI and digital health products — to become healthcare entrepreneurs while remaining in clinical practice.
Clinical Entrepreneur Programme →Topol Fellowship (NHS England)
Supports NHS staff to understand and implement digital health innovations — including AI, genomics, and robotics — and develop skills to lead digital transformation in their organisations.
Topol Fellowship →University Postgraduate Programmes
Accredited postgraduate degrees in clinical AI and digital health at UK universities.
MSc AI Implementation (Healthcare)
The UK’s first taught MSc in AI implementation for healthcare. Covers evaluation, governance, regulation and deployment of AI in clinical settings. Full-time (12 months) or part-time.
View course →MSc AI for Biomedicine and Healthcare
Combines rigorous AI methods with biomedical and healthcare applications. Prepares graduates for clinical data science, health technology, and research roles.
View course →MSc AI for Medicine and Health
Clinically grounded AI programme from a world-leading medical school. Focuses on real-world application of AI in healthcare settings.
View course →MSc Diagnostics, Data and Digital Health
Covers data-driven diagnostics, digital health systems, and AI in clinical practice. Available as MSc, PGDip or PGCert.
View course →NHS Fellowship in Clinical AI: Curated Resources
A curated list of educational resources for AI in the NHS, sourced from the NHS Fellowship in Clinical AI.
| Resource | Description |
|---|---|
| NHS AI and Digital Regulations Service | Developed by NICE, the MHRA, the CQC, and the HRA for both adopters of AI in healthcare and developers. |
| AI and Digital Healthcare Technologies Capability Framework | A framework outlining the skills and capabilities to ensure health and care professionals can work in a digitally enhanced environment. |
| AI Learning Hub, NHS Digital Academy | NHS Digital Academy's collection of curated learning resources, mapped to an AI capability framework. |
| AI Knowledge Repository, NHS Digital | Resources to enable the responsible adoption of AI in the NHS including articles and case studies. |
| Clinical AI Interest Group, The Alan Turing Institute | Brings together health professionals and data scientists with a shared interest in clinical AI, through events and innovative research projects. |
| AI Ambassador Network | A forum for healthcare professionals to learn about and share practical applications of AI. Led by NHS England and DHSC, supported by NHS Horizons. |
| KCL Innovation Scholars AI Modules | Three e-learning modules on evidence-based medicine, large-scale data, and applying AI to improve patient care. |
| AI in Healthcare, Royal College of Surgeons in Ireland | Online, self-paced short course on AI in Healthcare. |
| Incubator for AI & Digital Healthcare | Brings together patients, regulators, clinicians, and industry to share knowledge and develop solutions. Hosts webinars on safety, effectiveness, and equitability. |
| Revolutionizing Healthcare, Van Der Schaar ML Lab | Engagement sessions for clinicians and medical students on the future of machine learning in healthcare. |
Source: NHS Fellowship in Clinical AI — last updated Nov 2025