Clinical Reasoning: Knowledge, Uncertainty, and Values in Health Care

ISBN-13: 9783030590932 / Angielski / Twarda / 2020 / 162 str.

Daniele Chiffi

Spis treści

Chapter 1: Introduction:- Chapter 2: Foundations of Clinical Diagnosis.- Chapter 3: Probability in Clinical Diagnosis.- Chapter 4: Clinical Hypotheses in Diagnostic and Prognostic Reasoning.- Chapter 5: Prognosis in the Face of Uncertainty.- Chapter 6: On Clinical Possibility.- Chapter 7: The Epistemology of Placebo Effect.- Chapter 8: Nursing Knowledge and Values.

Blurb

This book offers a philosophically-based, yet clinically-oriented perspective on current medical reasoning aiming at 1) identifying important forms of uncertainty permeating current clinical reasoning and practice 2) promoting the application of an abductive methodology in the health context in order to deal with those clinical uncertainties 3) bridging the gap between biomedical knowledge, clinical practice, and research and values in both clinical and philosophical literature. With a clear philosophical emphasis, the book investigates themes lying at the border between several disciplines, such as medicine, nursing, logic, epistemology, and philosophy of science; but also ethics, epidemiology, and statistics. At the same time, it critically discusses and compares several professional approaches to clinical practice such as the one of medical doctors, nurses and other clinical practitioners, showing the need for developing a unified framework of reasoning, which merges methods and resources from many different clinical but also non-clinical disciplines. In particular, this book shows how to leverage nursing knowledge and practice, which has been considerably neglected so far, to further shape the interdisciplinary nature of clinical reasoning. Furthermore, a thorough philosophical investigation on the values involved in health care is provided, based on both the clinical and philosophical literature. The book concludes by proposing an integrative approach to health and disease going beyond the so-called “classical biomedical model of care”.