Safe, secure and effective deployment of digital health focused technology
January 6, 2025
It was a pleasure to welcome Stuart Harrison from ETHOS, who delivered our first 2025 Seminar Series with his talk,
"Effective deployment of digital health focused technology at scale".
Stuart has led the Clinical Safety movement in the NHS alongside some of the most prominent Clinical leaders for over 20 years. Stuart is now the co-founder & director of ETHOS, a company providing ethical services to the health industry.
Seminar Series Event: "Effective deployment of digital health focused technology at scale"
Date and Time:
15:00 – 16.00, Wednesday 29 January 2025
Location:
The Judy Dunn Room, Social Genetic and Developmental Psychiatry Building, Denmark Hill Campus, Memory Lane, London SE5 8AF
Registration: EPSRC DRIVE-Health students, alumni and wider King's College London research community. Please email
drive-health-cdt@kcl.ac.uk
to register interest.
Abstract: ETHOS will provide insight into the requirements for the safe, secure, and effective deployment of digital health focused technology at scale. Discussions concerning early research problem identification, health system challenges and taking research through to minimum viable product (MVP) and minimum marketable product (MMP). The objective is to highlight the benefit of earlier alignment with regulatory challenges to aid successful interventions and to demonstrate standards can be an enabler not a barrier to innovation.
Stuart Harrison has led the Clinical Safety movement in the NHS alongside some of the most prominent Clinical leaders for over 20 years. Stuart is now the co-founder & director of a company providing ethical services to the health industry. ETHOS Ltd was formed in 2014 as a result of a feasibility study completed in partnership with a large pharmaceutical company in the interests of furthering medical science / MedTech innovation. ETHOS was formed from subject matter experts in the compliance requirements for the NHS covering security, information governance, clinical safety, Medical Devices and General Data Protection Regulations. Stuart’s background is Engineering, particularly safety critical industries where safety has immediate risk to harm to system users or the wider general population. He was one of the original authors of the clinical safety standards.
An expert advisor (BSI UK) international safety, security, and effectiveness standards; leading this area since 2017 and creating a legacy from the widely recognised NHS clinical safety practises into the international health informatics industry. Stuart has significantly contributed to over 1000 health software systems being clinically assured and provided subject matter input to over 3000 service incidents with patient safety impact in the NHS. He led the creation of clinical risk management toolkits to enable self-certification across the industry for low-risk unregulated health software & ensuring they are compatible with new medical device regulations. A specialist advisor to NICE for medical technology and work closely with MHRA and other arm’s length bodies where patient safety and health software initiatives are needed. A steering group member and advisor to many professional institutions and organisations representing digital health; Stuart is helping to influence safety culture and methods across a number of domains. Stuart was co-author of the government’s Regulators Pioneer Fund bid to address the assurance of AI & machine learning in health software. Having successfully facilitated a £1M research grant being awarded to NHS Digital & MHRA. Digital Leader finalist – Digital City Awards 2021. Stuart is currently studying part time for a PhD at the University of Warwick on the subject of clinical decision supporting systems including safety concepts for emerging technology & complementary regulatory frameworks, the inclusion of mobile health data into safer decision making and exploring the lifecycle models of clinical decision supporting systems.
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Bridging Academia and Industry: Turning Health Data into Health Solutions Please join us for the EPSRC DRIVE‑Health CDT Summer Symposium & Partner Showcase 2026 , a two‑day event dedicated to bridging academia and industry and accelerating the journey from health data research to real‑world solutions. This year’s theme, “Bridging Academia and Industry: Turning Health Data into Health Solutions", brings together our vibrant community of students, King’s academics, industry partners, clinicians and policymakers to explore how collaboration can unlock new insights, innovation and impact across health and care. Event details 📅 11 & 12 June 2026 📍 Science Gallery London, Guy’s Campus, King’s College London, Great Maze Pond, London SE1 9GU Timings: ⏰ 10:00–16:00 each day ☕ Refreshments available from 09:30 👉 Please be seated by 09:50 for a prompt 10:00 start Please secure your place here: Register Now Programme highlights KEYNOTE ✨ Dr Luis Garcia‑Gancedo , Executive Director & Head of Digital Medicine – Respiratory, Immunology & Inflammation, GSK INTERACTIVE DEBATE ✨ Student‑led interactive debate exploring AI within the context of the event theme: “Bridging Academia and Industry: Turning Health Data into Health Solutions.” PANEL DISCUSSION & POSTER JUDGING ✨ “What does industry actually need from health data PhDs - and how can industry partner with academia for maximum impact?” Panelists confirmed so far: Dr Laura Acqualagna , Director of AI/ML Engineering, GSK R&D Dr Chris Callaghan , Consultant Transplant Surgeon, Guy’s Hospital Dr Nina Sesto , CEO & Co‑Founder, MEGI Health Dr Srinivasan Vairavan , Director of Data Science & Digital Health, JNJ Innovative Medicine R&D, and Visiting Adjunct Faculty, King’s College London Dr Nicolas Huber , Director, King’s Innovation Catalyst PLUS ✨ Student lightning talks (across both days) ✨ 3‑minute Student Spotlight Slides (across both days) ✨ Poster showcase & networking session (Friday) ✨ Prizes for outstanding contributions (Friday) Please secure your place here: Register Now If you are no longer able to attend the event, please email drive-health-cdt@kcl.ac.uk so that we can reallocate to our waiting list.
We are looking forward to welcoming Professor Honghan Wu, Professor of Health Informatics and AI at the University of Glasgow, who will deliver his talk “Large language model and Radiology: how to facilitate human and AI collaboration? " as part of our Seminar Series. Abstract: In this upcoming talk, Professor Honghan Wu explores the essential shift from viewing AI as a potential replacement for radiologists to recognizing it as a critical collaborative partner. Moving beyond basic tasks like detection and triage, the presentation highlights how AI can address practical clinical "pain points," such as reducing automated protocoling time by up to 60% and decreasing the time spent communicating with providers and patients by 30%. Professor Wu will present recent research on using knowledge-retrieval and Large Language Models for clinical report error correction and generation. The session concludes with an examination of the real-world deployment lifecycle, discussing the challenges of monitoring the over 700 FDA-cleared radiology AI devices currently in practice Seminar Series Event : “Large language model and Radiology: how to facilitate human and AI collaboration?" Date and Time: Thursday 25 June 2026, 15:00 – 16.00 hrs (BST) Location: Large Committee Room, Hodgkin Building, Guy's Campus Attendance: Mandatory for all DRIVE-Health students; a calendar invitation has already been sent. Registration: Alumni and wider King's College London research community all welcome - please email drive-health-cdt@kcl.ac.uk to let us know if you would like to attend. Biography Honghan Wu is a Professor of Health Informatics and AI, based in the School of Health and Wellbeing of the University of Glasgow, where he leads the research theme of data science and AI. Prof Wu is a co-director of Health Data Research Scotland. He also is an honorary professor at Hong Kong University, an honorary associate professor at Institute of Health Informatics, UCL, and a former Turing Fellow of The Alan Turing Institute, UK's national institute for data science and artificial intelligence. Prof Wu holds a PhD in Computing Science. His current research focuses on machine learning, natural language processing, knowledge graph and their applications in medicine.
