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An AI-Digital Healthcare Conference organized by United Kingdom Digital Health & Care, in collaboration with VMLP-AI Healthcare UK

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Upcoming Events

AI Digital Health Conference, London, 2025
Wed 05 Nov
RCP, London
Details

AI-DIGITAL HEALTH CONFERENCE 2025

Venue: Royal College of Physicians, London

When: 5th Nov. 2025, Wednesday - Time: 11:30 – 16:30

Organizer: UKDHC in collaboration with VMLP-AI Healthcare, UK.

CONFERENCE THEME

From Analogue to Digital NHS: The Practical Path – What, Why and How
Aligning with the Prime Minister’s Call for an AI-Enabled Digital NHS

PROGRAMME SCHEDULE

11:30 – 12:10 | Registration - Coffee & Networking

12:10 – 12:13 | Welcome by the Conference Chair

12:13 – 12:20 | AI and Healthcare | Governance Policies Overview for NHS

Speaker: Mr David Wright – Founder Director of UKDHC

Focus: Explores how NHS leadership can establish robust governance models and assurance frameworks that enable AI adoption safely and effectively, ensuring transparency, accountability, and patient protection while accelerating digital transformation.

12:20 - 12:30 | Addressing the Key Challenges of AI and Complex Learning Systems

Speaker: Prof Paul Barach

Focus: This session examines how principles of human factors and systems engineering can be leveraged to navigate the complexities of AI integration in healthcare, enhancing design, deployment, and impact measurement. The speaker will also moderate the discussion.

12:30 – 12:40 | AI-Auto Discharge Summary in 90 Seconds | Streamlining In-patient Workflow

Speaker: Dr Suhail Chughtai

Focus: Highlights how AI-driven discharge summary generators transform one of the most time-consuming stages of patient care into an efficient, accurate, and standardised digital process. Also, how post-discharge gap of information can be bridged by 24/7 AI-led Virtual Nurse is shown.

12:40 – 12:50 | Integration of AI in Primary Care

Speaker: Dr Veena Babu

Focus: The integration of Artificial Intelligence in Primary Care is transforming how clinicians diagnose, monitor, and manage patients. AI supports earlier detection of disease, personalized treatment planning, ultimately enhancing patient outcomes and continuity of care.

12:50 – 13:00 | Foresight: a National-Scale Generative AI Model of Electronic Health Records across the COVID-19 Pandemic

Speaker: Dr Christopher Tomlinson

Focus: Foresight AI is a national-scale generative artificial intelligence model being developed in the UK, designed to predict future health events for individuals, based on previous medical history. It uses de-identified health data from the NHS England Secure Data Environment (SDE), covering approximately 57 million people in England across multiple types of healthcare events.

13:00 – 13:10 | AI empowered Transformation in Pharmaceutical Industry

Speaker: Ms Irina Osovskaya

Focus: This session will highlight how artificial intelligence is revolutionizing the drug discovery and development pipeline, from molecule design to clinical trials. It will focus on industry applications & collaborative models between pharma, biotech, and AI startups.

13:10 – 13:20 | AI That Clinical Trials and Clinical Research Can Trust

Speaker: Dr Nikhil Khadabadi

Focus: Examines how AI can be responsibly scaled from pilot to deployment in NHS research by ensuring data quality & strong governance. Draws on experience from both CRO and AI healthtech perspectives to highlight pathways for trustworthy, regulatory-compliant innovation in research.

13:20 - 13:30 | Adoption of AI in Mental Health Services

Speaker: Dr Jihad Malasi

Focus: This talk examines how AI technologies are being integrated into NHS mental health pathways, with a focus on Limbic AI as a successful example of AI-assisted triage in talking therapies. It also explores insights from NICE Evidence Value Assessment (EVA) and MTAC reviews.

13:30 - 13:40 | Handovers App: From Problem to Product | AI as Accelerated Innovation

Speaker: Dr. Maximilian Carstensen

Focus: Handovers is an app built to establish a new shared context for clinical institutional memory, building off experiences and carrying forward hard-won working wisdom. Dr Carstensen, the creative mind behind the app will take the audience through the journey of his innovative work.

13:40 – 14:30 | Lunch Break (Hosted by the Conference Organizers)

14:30 – 15:00 | Panel Discussion on Patient-Centric AI Applications, Enhancing Safety, Engagement, and Adherence

Focus: This discussion explores how AI technologies are redefining the patient journey by supporting engagement before, during, and after clinical encounters. The panel examines real-world examples, from virtual assistants guiding patients through pre-appointment preparation, to AI-driven follow-up systems ensuring post-care adherence, demonstrating how digital tools improve patient safety, satisfaction, and continuity of care.

Moderator: Prof Paul Barach: Anesthesiology & Intensive Care Clinician-Scientist; Chief Medical Advisor for Medical Device and AI Start Ups

Panel Composition

Dr Solomon Antwi: Digital Diagnostic Consultant – UCLH NHS Foundation Trust
Dr Josh au Yeung: Neurology Registrar Kings College London, Clinical Lead for Nuraxi AI
Dr Phil Koczan: GP, Churchill Medical Centre
Dr Ameet Bakhai: Consultant Cardiologist – Royal Free Hospital NHS Foundation Trust
Dr Devesh Sinha: Consultant Stroke Management, Lead NHS Digitalization-Barking, Havering & Redbridge Univ Hospital NHS Trust

15:00 – 15:10 | Opportunities for AI across the entire patient journey: a case study and critique from the private sector

Speaker: Dr DJ Hamblin-Brown

Focus: This session examines how AI enhances the entire patient journey — from diagnosis to post-care through insights from the private sector. It highlights real-world successes, challenges, and lessons learned in applying AI to healthcare delivery.

15:20 – 15:30 | AI-driven Outpatient Workflow – Patient at home, waiting lobby & clinic room

Speaker: Dr Suhail Chughtai

This session explores how AI-driven systems optimise the outpatient journey—from pre-visit preparation at home to real-time support in the clinic room. It highlights how intelligent triage, automated record review, and in-clinic medical scribing are transforming outpatient workflows and enhancing clinical efficiency.

15:30 – 15:40 | Safe and Ethical Adoption of AI within Healthcare Systems

Speaker: Dr. Marcela P. Vizcaychipi

Focus: Explores the consideration from the lens of an AI Lead Assessor, championing digital literacy along with safe and ethical adoption of AI to empower healthcare professionals.

15:40 – 15:50 | AI-integration with Hospital Systems | Project Researcher’s Lens

Speaker: Mr Ali Ahmed:

Focus: Introduces about the logistic considerations underpin incorporation of AI within the Hospital Information Systems.

15:50 – 16:00 | Measuring Skin Health | AI for Preventative and Data-Driven Dermatology

Speaker: Ms. Rumeesa Rais

Focus: By combining AI-driven skin imaging with lifestyle, environmental, and behavioural data, personal skin patterns are turned into measurable insight, helping people understand not just what is happening to their skin, but why and what comes next.

16:10 – 16:18 | AI in Musculoskeletal Practice | A Comparative Perspective Before and After Integration

Speakers: Ms Bhagyshree Singh

Focus: Drawing on her personal experience, Ashree will also share how embracing AI has transformed day-to-day MSK practice, illustrating the shift from reactive treatment to proactive, data-driven prevention.

16:18 – 16:26 | From Textbooks to Chatbots | How AI Is Transforming Medical Learning

Speaker: Miss Nida Suhail

Focus: Introduces the utility of Generative AI tools like ChatGPT and MedGPT for medical students' revision needs. Will share how UK Medical Students use AI for OSCE prep and clinical reasoning practice.

16:26 | Closing Remarks & Call to Action by the Conference Vice Chair

Ms Irina Osovskaya – Vice Chair AI, United Kingdom Digital Health & Care

Conference Organizer: UKDHC, in collaboration with VMLP-AI Healthcare UK

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