Workforce, training and education
East of England

 Entrepreneurship and Innovation lie at the heart of the NHS and we are keen to actively encourage NHS staff from across our region to get involved


Leadership in Digital Health and Entrepreneurship Fellowship Programme

EoE Leadership in Digital Health and Entrepreneurship Fellowship Programme was launched in 2021.

The Government mandate to Health Education England outlines that HEE is responsible for workforce planning, education and training. It also states that the workforce should be ‘educated to be responsive to changing service models and responsive to innovation and new technologies with knowledge about best practice, research and innovation, that promotes adoption and dissemination of better quality service delivery to reduce variability and poor practice.’

Programme objectives in relation to the HEE mandate:
• Develop future ‘digital health’ leaders that have the skills, the knowledge and the passion to enable the adoption and spread of digital innovations in the NHS
• Provide cascade model of education where fellows share their acquired expertise with other trainees
• Provide regional support for ‘doctorpreneurs’

The applications for 2022/2023 are now closed. Please submit your queries to

Dr Denys Pak
Associate Postgraduate Dean
Lead for Clinical Entrepreneurs and Emergent Tech (AI/VR)
East of England - NHS England


Key Documents

The Topol Review 

The Topol Review outlined recommendations to ensure the NHS is the world leader in using digital technologies to benefit patients. It will involve implementing technologies such as genomics, digital medicine, artificial intelligence and robotics at a faster pace and on a greater scale than anywhere else in the world.

NHS Long Term Plan

NHS Long Term Plan outlines how the NHS will evolve in the next 10 years to meet the growing demand on healthcare services. Particularly, Chapter 5, emphasises the digitally enabled care as a part of this transformation.

Artificial Intelligence: How to get it right? 

NHSx published a report about extraordinary opportunities for artificially intelligent systems in healthcare. This document focuses on the potential utility of AI in medicine and challenges around developing and implementing such systems in the NHS. 

Digital Technology Assessment Criteria (DTAC)

The DTAC was designed for healthcare providers to assess digital health technology products at the point of procurement. It is an essential document for companies and entrepreneurs developing digital technologies for the NHS.

Digital & Innovation Guides

Understanding NHS England functions and terminology toolkit

How does the NHS in England work? What do all the acronyms mean?

The Routemap to Medtech Development Toolkit

Bringing a medical device/in vitro diagnostic product (IVD) to market is about more than just technology development. It requires the careful co-ordination of a multi-disciplinary team. This toolkit helps you to refine your own MedTech development plan and to access useful tools to help you succeed.

Intellectual Property - An Overview for NHS staff

This is an overview of Intellectual Property (IP) for NHS staff. Anyone can create IP, even in the course of their usual work, and every business has some form of IP. This document will use medical and non-medical help you identify what IP is, when you might create it, why it is important, and how to protect it. Important IP processes for NHS staff will be detailed as well as considerations if the IP is commercialised.

How to evaluate a Clinical AI paper? 

This is a set of recommendations for clinical trial reports evaluating interventions with an AI component. The checklist includes 14 new items, which were considered sufficiently important for AI interventions, that should be routinely reported in addition to the core CONSORT 2010 items. 

Clinical Artificial Intelligence (AI) fellowship

Applications for the Clinical AI fellowship programme are now open. There will be two posts available in the East of England, starting in July 2024 (see details below).

The programme activities will be facilitated by the AI Centre for Value Based Healthcare. Appointed fellows will gain their skills and knowledge in line with the Clinical AI Curriculum developed by Guy's & St Thomas' Department of Medical Physics. Fellows will be working on deployment and validation of AI solutions in clinical setting. Both posts will be based at the Cambridge University Hospitals NHS Foundation Trust and clinical AI projects will be assigned to the fellows upon their appointment. Fellows will receive support from clinical AI supervisors and additional input from regional stakeholders, such as the Cambridge Centre of AI in Medicine, where appropriate.

Fellows who are not employed by the Cambridge University Hospital Trusts at the time of their appointment will be issued an honorary contract in addition to their fellowship secondment arrangements.


Dr Denys Pak
Associate Postgraduate Dean
Lead for Clinical Entrepreneurs and Emergent Tech (AI/VR)
East of England - NHS England


Tuesday, 5 April, 2022
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