Artificial Intelligence Based Primary Care

Dr. Chang is the founder and medical director of the Medical Intelligence, Information, Investigation, and Innovation Institute (Mi4) that is supported by the Sharon Disney Lund Foundation. The institute is dedicated to the introduction and implementation of artificial intelligence in medicine and was the first institute of its kind in a hospital. Dr. Chang intends to build a clinician-computer scientist interface with a nascent society (the Medical Intelligence Society) and is the editor-in-chief of Intelligence-based Medicine, the accompanying journal for his book, Intelligence-Based Medicine: Artificial Intelligence and Human Cognition in Clinical Medicine and Healthcare. He is the organizing chair for Artificial Intelligence in Medicine (AIMed) meetings around the world, the largest and most comprehensive clinician-led meetings that focus on applications of artificial intelligence in medicine and the dean of the nascent American Board of Artificial Intelligence in Medicine (ABAIM). He is also the founding president of the Medical Intelligence Society (MIS). Annabelle Painter is a General Practitioner, National Health Service at Imperial College London, London, UK. Hatim is the Chief Executive Officer for Health Innovation Kent Surrey Sussex, one of England's fifteen Health Innovation Networks, licensed by NHS England and the Office for Life Sciences. Alongside this role, he continues to practice as a General Practitioner.In 2018, Hatim was appointed National Medical Directors Clinical Fellow to Professor Wendy Reid by the Faculty of Medical Leadership and Management. His key achievements were co-author and member of the Sir Keith Pearson Commission into NHS Staff and Learner Mental Health and co-founding the ‘Topol Programme for Digital Health Fellowships’ launched by Secretary of State for Health and Social Care in 2019. He later became the National Clinical Lead for AI and Digital Workforce at NHS England providing clinical leadership to the NHS Digital Academy and the NHS AI Lab as well as leading and co-authoring on AI in the NHS’s historic Long Term Workforce Plan.Having studied Medicine at the prestigious Barts and the London School of Medicine and Dentistry, he later completed a Masters in Sports and Exercise Medicine from the University of South Wales, and a Postgraduate Diploma in Digital Health Leadership from Imperial College London. He is currently a candidate on the Singapore Management Universities Chief Executive Officer Programme. He holds Membership of the Royal College of General Practitioners, as well as Fellowship of Advance Higher Education and the British Computer Society. Hatim is an Honorary Professor of Innovation and AI within the School of Medicine at the University of Surrey.Hatim is an advocate for safe, ethical and responsible digital and AI transformation and ensuring workforce preparedness for new innovations and technologies in health and care. He regularly speaks internationally and has contributed to the publication of academic papers and white papers spanning workforce, education reform, innovation, primary care, digital health and AI. Samira Abbasgholizadeh-Rahimi works at McGill University, Canada. Alfonso Limon, Ph.D., is a principal at Oneirix, a consulting company developing market-leading technologies in computational intelligence for med-tech. Before joining Oneirix, Dr. Limon served as Director of Research at Intersection Medical, leading the development of algorithms for decision support systems to manage congestive heart failure. Before his work in industry, Dr. Limon was a Visiting Professor of Mathematics at Pomona College and a post-doctoral fellow at Harvey Mudd College in the math department and holds several impedance spectroscopy patents. Alfonso is part of the American Board of Artificial Intelligence in Medicine, an Associate Editor of Intelligence-Based Medicine, and the Computational Science Research Center Board Chair at SDSU. Dr. Nadia Smati is an academic internist focused on healthcare delivery, policy, and technology implementation to improve equitable clinical care. Trained in both the U.K. and U.S., she brings a global perspective to the responsible use of AI in diverse care settings. She studied at Stanford University and earned her medical degree from Imperial College London. While practicing in NHS England, she led quality improvement initiatives for complex patient care. During her internal medicine residency at Kaiser Permanente, she spearheaded health AI projects, including piloting the clinic’s first AI tool and developing an AI-enabled imaging stewardship system. She received national recognition from the American College of Physicians for her clinical and generative AI research. As Department Technology Lead, she translated physician needs into digital solutions and promoted AI literacy. Dr. Smati presents nationally and internationally on health AI and leads physician education to support responsible AI integration in healthcare.

• 1. Introduction - General practice and family medicine2. Delivery of medical care in the community (general practice/family medicine)3. Models of delivery globally- perspectives from UK, US and Canada.4. 4 pillars: continuity, coordination, comprehensive, first contact.5. Population health management in primary care - an overview6. Current use of AI, gaps and opportunities7. A day in the life of a General Practitioner - reflection/commentary8. Applications of targeted patients, clinicians and the system9. Ethical issues10. Health Equity and access11. Legal issues12. Regulation and medical devices13. Evidence/validation14. Digital readiness of organizations15.ducation of workforce16. Data and databases in primary care17. Interoperability17. System change/leadership/culture19. Workforce transformation20. Major takeways21. Compendium