My Topol fellowship problem / project:
The safe and effective use of artificial intelligence (AI) technology in the NHS requires a generation of healthcare leaders who can adopt AI in clinical settings.
We created the Fellowships in Clinical AI to meet this training need, by providing healthcare leaders with protected training time at the cutting-edge of clinical AI. This is the first systematic route in the UK for acquiring the skills for deploying and evaluating AI technology in clinical settings. Fellows gain clinical AI experience alongside their clinical work through the deployment of state-of-the-art software in live clinical workflows under the supervision of experts in clinical AI. Fellows gain skills and knowledge relevant to the full life cycle of clinical AI from a bespoke programme of teaching aligned with the Clinical AI Curriculum authored by our faculty.
In this Topol Digital Fellowship, I will focus on the continued development and refinement of the Fellowships in Clinical AI and related educational initiatives as part of the strategic goal to create an AI-ready NHS workforce.
I am Programme Lead for the Fellowships in Clinical Artificial Intelligence (AI), and author of the accompanying Clinical Artificial Intelligence Curriculum. This programme equips NHS frontline clinicians with the expertise to adopt AI in clinical workflows. It is the first of its kind in the UK and was developed with former Health Education England and NHS Digital.
I have developed auditable standards for AI in healthcare with the British Standards Institution as an editorial panel chair, and I have evaluated clinical AI technology at Guy’s and St Thomas’s NHS Foundation Trust.
In my clinical work, I am a medical doctor specialising in Clinical Genetics (the diagnosis and treatment of people with genetic conditions).