About the Topol Digital Fellowship programme

The Topol Digital Fellowship is designed to equip fellows with new skills and knowledge. These will include: how to practise person-centred design, how to use Agile methods to run projects and develop services, how to lead digital transformation, how to use data in the design of services. The programme is also designed to inspire fellows by enabling them to hear from others who have led digital transformations and built digital health services. The programme is designed to connect fellows to like-minded peers, digital transformation and digital health experts and people who can support and mentor them.

The fellowship programme will provide fellows with the time to design and deliver a digital health project and initiative in their own organisations. This will be supported by a programme of workshops to stimulate fellows to confidently lead digital health transformations for NHS staff and patients. The fellowship is an exciting opportunity for NHS clinical staff, including doctors, nurses, allied health professionals, dentists, healthcare scientists, pharmacists and others, to shape and accelerate the NHS digital revolution.

Latest updates from our fellows

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Christopher Tack

Am I digitally literate enough? A guide for the average UK healthcare worker

10th Dec 2020

I have spent the last year asking people the same question: how digitally literate does the average healthcare worker need to be?

Melanie Martin

TRUST: Transforming Rheumatology Using Sustainable Technology applying a ‘Theory of Change’ model

02nd Dec 2020

TRUST is an absolutely vital commodity in healthcare. It is also an acronym for Transforming Rheumatology Using Sustainable Technology, the title of my fourth blog post as a Topol Digital Fellow.

Matthew Alexander

Why choose to do the Fellowship?

01st Sep 2020

I was moved today to reflect on some of my learning from my time in and outside the Fellowship over the last seven months, and especially over the last month. 

Melanie Martin

The second half: Designing a minimally viable NHS Service

06th Apr 2020

To succeed in football and in digital services, both rely upon a team and committed supporters to be there for the wins and the losses.

Publications by our fellows

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  • Videha Sharma
  • Journal Article

Clinical risk prediction models: the canary in the coalmine for artificial intelligence in healthcare? 

Available at BMJ health & care informatics from ProQuest (Health Research Premium) - NHS Version https://informatics.bmj.com/content/bmjhci/28/1/e100421.full.pdf
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  • Author(s): Sharma, Videha; Davies, Angela; Ainsworth, John
  • Source: BMJ health & care informatics; Oct 2021; vol. 28 (no. 1)
  • Database: Medline
  • Pubmed ID: 34607819 
  • Date: October 2021