The Unseen Patient

AI in Medicine, Hidden Decisions, and the Patient’s Right to Know
Erscheinungsjahr 2027
ISBN: 978-3-032-38348-8
Verlag: Springer

Buch, Englisch, 270 Seiten, Format (B × H): 155 mm x 235 mm

This book is a clinically grounded, evidence-based book about the hidden use of artificial intelligence in medical care and the patient’s right to know when software shapes diagnosis, documentation, triage, insurance access, and clinical attention. The book does not argue against medical AI. It argues for visible, understandable, and accountable AI. Patients should know when an AI system affects their care, what role the tool played, what evidence supports it, who remains responsible, and how they can challenge an error.

The manuscript combines patient-centered narrative, clinical explanation, health policy analysis, biomedical ethics, and medical informatics. Composite patient stories show how AI enters ordinary care: a risk score appears in the chart before a visit begins, an ambient scribe drafts a note the patient may never fully understand, a symptom checker guides a frightened patient at two in the morning, an insurer’s algorithmic review shapes access to rehabilitation, and a clinical reasoning assistant produces fluent prose that makes uncertainty look like judgment. The book’s central claim is straightforward: the standard for trustworthy medicine has not changed, even though the instrument has. A patient-centered AI system requires disclosure, validated use, subgroup testing, privacy protection, auditability, human accountability, appeal rights, and continuous monitoring.

Dr. Quinn brings unusual first-person authority to this subject. He has practiced as an internist and emergency physician, chaired a hospital Quality Assurance Committee, served as a managed-care medical director and Chief Medical Officer, published on good-faith medical-necessity adjudication and formulary systems, worked in pharmaceutical medical affairs, advised life-sciences and medtech clients, written prior books on AI in medicine and medical communications, and built an AI-enabled board-preparation platform. The result is not a warning from outside medicine. It is an insider’s account of a system he helped build and now argues should become more visible, accountable, and contestable.

This is an ideal guide for all medical professionals using AI in practice, physician leaders, and hospital administrators.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Quinn, Campion

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Gesundheitssystem, Gesundheitswesen
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Krankenhausmanagement, Praxismanagement
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Introduction What I Have Watched Become Harder.- The Quiet Transformation.- What AI Is What It Is Not and Why Patients Need to Know.- The 2 AM Doctor.- What Counts as Good Evidence.- The Patient in the Data.- When the System Gets It Wrong.- The Confident Stranger.- The Note the Doctor Didnt Write.- The Invisible Gatekeeper.- The Physician Behind the Screen.- Medicines Missing Data.- The Child the Elder and the Person in Crisis.- Global Medicine Local Bias.- Who Watches the Algorithm.- The Right to Know.- What Good Would Look Like.

Über Autor(innen)

Campion E. Quinn, MD, FACP, MHA, is a physician, consultant, author, and medical communications strategist with experience across clinical medicine, managed care, pharmaceutical medical affairs, and artificial intelligence in healthcare. He trained and practiced as an internist and emergency physician at a Level I trauma center in New York, taught medical students and residents, and chaired a hospital Quality Assurance Committee. He later served in medical leadership roles in managed care, including Chief Medical Officer at Group Health Incorporated in New York and National Medical Director at USI Care Management. He has published on good-faith medical-necessity adjudication and formulary systems in the American Journal of Managed Care. Since 2009, he has advised pharmaceutical, medtech, and medical-communications clients. He is the author of books on artificial intelligence in medicine and medical communications and has developed an AI-enabled board-preparation platform for nurse practitioners and physician assistants.