Landmark Papers in Internal Medicine

Landmark Papers in Internal Medicine

Author: Harold C. Sox

Publisher: ACP Press

Published: 2009

Total Pages: 550

ISBN-13: 9781934465073

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ACPs journal, Annals of Internal Medicine, is one of the most prestigious journals in medicine. This new book looks at the landmark papers published in Annals, as selected by leading experts from each subspecialty of internal medicine, and how they impacted (and continue to influence) medical science.


A Short History of Medicine

A Short History of Medicine

Author: Erwin H. Ackerknecht

Publisher: JHU Press

Published: 2016-05-01

Total Pages: 273

ISBN-13: 1421419556

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A bestselling history of medicine, enriched with a new foreword, concluding essay, and bibliographic essay. Erwin H. Ackerknecht’s A Short History of Medicine is a concise narrative, long appreciated by students in the history of medicine, medical students, historians, and medical professionals as well as all those seeking to understand the history of medicine. Covering the broad sweep of discoveries from parasitic worms to bacilli and x-rays, and highlighting physicians and scientists from Hippocrates and Galen to Pasteur, Koch, and Roentgen, Ackerknecht narrates Western and Eastern civilization’s work at identifying and curing disease. He follows these discoveries from the library to the bedside, hospital, and laboratory, illuminating how basic biological sciences interacted with clinical practice over time. But his story is more than one of laudable scientific and therapeutic achievement. Ackerknecht also points toward the social, ecological, economic, and political conditions that shape the incidence of disease. Improvements in health, Ackerknecht argues, depend on more than laboratory knowledge: they also require that we improve the lives of ordinary men and women by altering social conditions such as poverty and hunger. This revised and expanded edition includes a new foreword and concluding biographical essay by Charles E. Rosenberg, Ackerknecht’s former student and a distinguished historian of medicine. A new bibliographic essay by Lisa Haushofer explores recent scholarship in the history of medicine.


Improving Diagnosis in Health Care

Improving Diagnosis in Health Care

Author: National Academies of Sciences, Engineering, and Medicine

Publisher: National Academies Press

Published: 2015-12-29

Total Pages: 473

ISBN-13: 0309377722

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Getting the right diagnosis is a key aspect of health care - it provides an explanation of a patient's health problem and informs subsequent health care decisions. The diagnostic process is a complex, collaborative activity that involves clinical reasoning and information gathering to determine a patient's health problem. According to Improving Diagnosis in Health Care, diagnostic errors-inaccurate or delayed diagnoses-persist throughout all settings of care and continue to harm an unacceptable number of patients. It is likely that most people will experience at least one diagnostic error in their lifetime, sometimes with devastating consequences. Diagnostic errors may cause harm to patients by preventing or delaying appropriate treatment, providing unnecessary or harmful treatment, or resulting in psychological or financial repercussions. The committee concluded that improving the diagnostic process is not only possible, but also represents a moral, professional, and public health imperative. Improving Diagnosis in Health Care, a continuation of the landmark Institute of Medicine reports To Err Is Human (2000) and Crossing the Quality Chasm (2001), finds that diagnosis-and, in particular, the occurrence of diagnostic errorsâ€"has been largely unappreciated in efforts to improve the quality and safety of health care. Without a dedicated focus on improving diagnosis, diagnostic errors will likely worsen as the delivery of health care and the diagnostic process continue to increase in complexity. Just as the diagnostic process is a collaborative activity, improving diagnosis will require collaboration and a widespread commitment to change among health care professionals, health care organizations, patients and their families, researchers, and policy makers. The recommendations of Improving Diagnosis in Health Care contribute to the growing momentum for change in this crucial area of health care quality and safety.


Anyone, Anything, Anytime

Anyone, Anything, Anytime

Author: Brian J. Zink

Publisher: Elsevier Health Sciences

Published: 2005-09-01

Total Pages: 341

ISBN-13: 1560537108

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"A wonderful picture of an important period in the practice of medicine in the United States." (from the Foreword by Peter Rosen, MD) Here is the very first book to comprehensively explore the evolution of the field of emergency medicine -- from its origins following World War II, through the sociopolitical changes of the 1950s, 1960s, and 1970s, to the present. First-hand narratives from more than 45 founders and pioneers of emergency medicine provide a vivid portrayal of the important events and viewpoints that have given rise to today's practice. Represents the first comprehensive history of emergency medicine as a specialty. Provides first-hand oral histories from more than 45 of the key figures who witnessed and helped to shape the developments chronicled in the book. Offers keen insights into how the sociopolitical changes of the 1950s through 1970s influenced public health, health care delivery, and emergency medicine. Includes many unique photographs of important leaders in emergency medicine.


Artificial Intelligence in Medicine

Artificial Intelligence in Medicine

Author: David Riaño

Publisher: Springer

Published: 2019-06-19

Total Pages: 431

ISBN-13: 303021642X

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This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.