Ending Medicine's Chronic Dysfunction : Tools and Standards for Medical Decision Making

Lincoln Weed

ISBN 10: 3031004795 / ISBN 13: 9783031004797

Editore: Springer, 2021

Riguardo questo articolo

Druck auf Anfrage Neuware - Printed after ordering - This book describes an overlooked solution to a long-standing problem in health care. The problem is an informational supply chain that is unnecessarily dependent on the minds of doctors for assembling patient data and medical knowledge in clinical decision making. That supply chain function is more than the human mind can deliver. Yet, dependence on the mind is built into the traditional role of doctors, who are educated and licensed to rely heavily on personal knowledge and judgment. The culture of medicine has long been in denial of this problem, even now that health information technology is increasingly used, and even as artificial intelligence (AI) tools are emerging. AI will play an important role, but it is not a solution. The solution instead begins with traditional software techniques designed to integrate novel functionality for clinical decision support and electronic health record (EHR) tools. That functionality implements high standards of care for managing health information. This book describes that functionality in some detail. This description is intended in part to be a starting point for developers in the open source software community, who have an opportunity to begin developing an integrated, cloud-based version of the tools described, working with interested clinicians, patients, and others. The tools grew out of work beginning more than six decades ago, when this book's lead author (deceased) originated problem lists and structured notes in medical records. The electronic tools he later developed led him to reconceive education and licensure for doctors and other health professionals, which are also part of the solution this book describes.

Codice articolo 9783031004797

Dati bibliografici

• Titolo: Ending Medicine's Chronic Dysfunction : Tools and Standards for Medical Decision Making
• Editore: Springer
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 3031004795
• ISBN 13: 9783031004797
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 235 L x 191 A x 11 P (millimetri) 235 millimetri di larghezza per 191 millimetri di altezza per 11 millimetri di profondità
• Peso: 370 grammi

Descrizione articolo

Riassunto

This book describes an overlooked solution to a long-standing problem in health care. The problem is an informational supply chain that is unnecessarily dependent on the minds of doctors for assembling patient data and medical knowledge in clinical decision making. That supply chain function is more than the human mind can deliver. Yet, dependence on the mind is built into the traditional role of doctors, who are educated and licensed to rely heavily on personal knowledge and judgment. The culture of medicine has long been in denial of this problem, even now that health information technology is increasingly used, and even as artificial intelligence (AI) tools are emerging. AI will play an important role, but it is not a solution. The solution instead begins with traditional software techniques designed to integrate novel functionality for clinical decision support and electronic health record (EHR) tools. That functionality implements high standards of care for managing health information. This book describes that functionality in some detail. This description is intended in part to be a starting point for developers in the open source software community, who have an opportunity to begin developing an integrated, cloud-based version of the tools described, working with interested clinicians, patients, and others. The tools grew out of work beginning more than six decades ago, when this book’s lead author (deceased) originated problem lists and structured notes in medical records. The electronic tools he later developed led him to reconceive education and licensure for doctors and other health professionals, which are also part of the solution this book describes.

Informazioni sull'autore

Lawrence L. Weed, MD (1923–2017) is best known for originating problem lists and “SOAP notes,” two components of the problem-oriented record standard for organizing data in health records. As discussed in Chapter 5, LLW’s work on health records arose out of his experiences in medical school, internships, residency in internal medicine, and basic research in biochemistry, at several institutions. In 1965, he became director of the outpatient clinics at Cleveland Metropolitan General Hospital, where he established a group to develop a computerized problem-oriented record. In 1969, he moved to the University of Vermont, where his group became known as the PROMIS Laboratory. LLW received a number of awards for his work, most prominently the Gustav O. Lienhard Award in 1995 from the Institute of Medicine of the National Academy of Sciences. Further details on his career are available in a New York Times obituary and other sources cited in chapter 5, Note 129.Lincoln Weed, JD, a son of LLW, practiced employee benefits law in Washington, D.C. for 26 years, followed by 8 years at a consulting firm where he specialized in health privacy. His experience as an employee benefits lawyer included work on health benefits. This intersected with LLW’s work in medicine, which led to them co-authoring several publications. He can be reached at ldweed424@gmail.com and 703-424-4408.