
Artificial Intelligence Based Primary Care
Artificial Intelligence and Human Cognition in General Practice and Family Medicine
- 1st Edition - April 1, 2026
- Latest edition
- Editors: Anthony C. Chang, Annabelle Painter, Hatim Abdulhussein, Samira Abbasgholizadeh-Rahimi, Alfonso Limon, Nadia Smati
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 4 1 2 4 - 6
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 4 1 2 3 - 9
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

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.
- 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
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
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
- Edition: 1
- Latest edition
- Published: April 1, 2026
- Language: English
AC
Anthony C. Chang
AP
Annabelle Painter
HA
Hatim Abdulhussein
SA
Samira Abbasgholizadeh-Rahimi
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Alfonso Limon
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.