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Pharmacist in Clinical Informatics
NHS Fellow in Clinical AI, Cohort 4
Royce Rajan is a Clinical Informatics Manager and Clinical Safety Officer at NHS England. He leads national digital transformation and assurance initiatives, supporting the safe, effective, and scalable adoption of digital and AI-enabled technologies across the NHS.
Moorfields Eye Hospital NHS Foundation Trust
Through the NHS Fellowship in Clinical AI, I worked with Moorfields Eye Hospital to support the development and implementation of an AI-enabled solution to improve how ophthalmology referrals are reviewed and prioritised. The project aimed to use AI and Large Language Models to support triage decision-making, reduce administrative burden on clinical teams by matching patients to NHS’s Patient Demographic Service (PDS), improve consistency and efficiency through extracting urgency and sub-speciality on referrals, and help patients receive the right care, at the right time, in the right setting. My role focused on bringing clinical safety, governance and implementation expertise to the programme. I helped define clinical requirements and use cases, assess workflow impacts, support stakeholder engagement, testing and change management, and contribute to plans for safe adoption and scaling across services. By the end of the fellowship, the solution had been configured, tested and validated; clinical workflows had been mapped and refined; stakeholder engagement was complete; and readiness for live rollout had been established. The next phase will focus on monitoring performance and user experience in live use, evaluating operational and patient outcomes, refining the model based on real-world feedback, and exploring wider scaling across additional pathways and organisations.
The NHS Fellowship in Clinical AI has been a truly valuable opportunity to develop my understanding of how AI can be safely, ethically and effectively applied in healthcare. It strengthened my knowledge of AI technologies, large language models, governance, safety, regulation and evaluation, while giving me direct experience of contributing to a real-world implementation project. The programme’s curriculum is an excellent North Star that framed the challenges and opportunities of implementing AI in the NHS. Then, working with Moorfields Eye Hospital, I was able to see how AI can be used to address a genuine clinical and operational challenge with the strong foundations of the study days, online modules and materials that supported key learning. What I valued most was the opportunity to work across clinical, academic, operational and technical boundaries. The fellowship created space to learn from experts, peers and innovators who are shaping the future of AI in health and care. The experience has enhanced my leadership, change management and stakeholder engagement skills, particularly in supporting multidisciplinary collaboration around emerging technology. Looking ahead, the fellowship will strongly influence my future career by strengthening my role as a clinical informatics and digital transformation leader. It has given me the confidence, insight and practical experience to support the safe and scalable adoption of AI across the NHS, contribute to national approaches to assurance and implementation, and help translate innovation into meaningful improvements for patients, clinicians and services.