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Artificial Intelligence Based Primary Care

Artificial Intelligence and Human Cognition in General Practice and Family Medicine

  • 1st Edition - November 1, 2026
  • Latest edition
  • Editors: Anthony C. Chang, Annabelle Painter, Hatim Abdulhussein, Samira Abbasgholizadeh-Rahimi, Alfonso Limon, Nadia Smati
  • Language: English

Artificial Intelligence Based Primary Care: Artificial Intelligence and Human Cognition in General Practice and Family Medicine provides a comprehensive look into the integrati… Read more

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Description

Artificial Intelligence Based Primary Care: Artificial Intelligence and Human Cognition in General Practice and Family Medicine provides a comprehensive look into the integration of artificial intelligence within primary care. This book aims to bridge the gap between data scientists and primary care clinicians by presenting potential AI applications, implementation challenges, and real-world clinical scenarios in an accessible manner. Comprised of 5 sections and 20 chapters, it offers both theoretical insights and practical guidance for family medicine practitioners.

Additionally, the book includes a chapter dedicated to a day in the life of a General Practitioner, showcasing the practical impact of AI. It also features an extra compendium listing the Top 100 articles and best books on Artificial Intelligence. This resource is invaluable for academics, researchers, and clinicians eager to expand their knowledge in this emerging field.

Key features

  • Focuses on current and future concepts and applications of artificial intelligence in primary care
  • Helps primary care researchers understand how AI works, also covering its limitations and strengths
  • Narrows the knowledge and expertise chasm between data scientists and primary care scientists/clinicians

Readership

Academics and researchers in artificial intelligence, primary care and family medicine, Data scientists, Primary care physicians, pharmacists, nurses, practice managers, internists and hospitalists, Health executives, Investors, Inventors, Entrepreneurs

Table of contents

1. Introduction - General practice and family medicine

2. 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 overview

6. Current use of AI, gaps and opportunities

7. A day in the life of a General Practitioner - reflection/commentary

8. Applications of targeted patients, clinicians and the system

9. Ethical issues

10. Health Equity and access

11. Legal issues

12. Regulation and medical devices

13. Evidence/validation

14. Digital readiness of organizations

15.ducation of workforce

16. Data and databases in primary care

17. Interoperability

17. System change/leadership/culture

19. Workforce transformation

20. Major takeways

21. Compendium

Product details

  • Edition: 1
  • Latest edition
  • Published: November 1, 2026
  • Language: English

About the editors

AC

Anthony C. Chang

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).
Affiliations and expertise
Sharon Disney Lund Medical Intelligence, Information, Investigation, and Innovation Institute (Mi4), Children’s Hospital of Orange County, a part of Rady Children’s Health, Orange, CA, USA; Heart Failure Program, Heart Institute, Children’s Health of Orange County, Orange, CA, USA; Chapman University, Orange, CA, USA

AP

Annabelle Painter

Annabelle Painter is a General Practitioner, National Health Service at Imperial College London, London, UK.
Affiliations and expertise
General Practitioner, National Health Service, Imperial College London, London, UK

HA

Hatim Abdulhussein

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.
Affiliations and expertise
General Practitioner at Devonshire Lodge Practice ; Professor of Innovation and Artificial Intelligence, School of Medicine, University of Surrey; Senior Clinical Lecturer in General Practice, School of Medicine, Keele University; Chief Executive Officer, Health Innovation Kent Surrey Sussex; Chief Officer, National NHS and UK Government Office for Life Sciences Health Innovation Network; Senior Responsible Owner of Analogue to Digital Strategy, NHS England South East, UK

SA

Samira Abbasgholizadeh-Rahimi

Samira Abbasgholizadeh-Rahimi works at McGill University, Canada.
Affiliations and expertise
McGill University, Canada

AL

Alfonso Limon

Dr. Alfonso Limon is the Senior Data Scientist at Mi4 within Rady Children’s Health, specializing in AI and healthcare innovation. Previously served as a Principal at Oneirix Labs, a consulting firm specializing in computational intelligence for medical technology. Dr. Limon was Research Director at Intersection Medical (I-Med), where he developed decision-support algorithms for congestive heart failure, and previously managed the research team at Impedance Cardiology Systems. He serves as associate editor for Intelligence-Based Medicine, is a founding member of the American Board of AI in Medicine.

Affiliations and expertise
Principal, Oneirix Labs, USA

NS

Nadia Smati

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.

Affiliations and expertise
Ainsley Advisory Group 4 Brompton Court Houston Texas, USA