Threshold Decision-making in Clinical Medicine (eBook)
XXIII, 138 Seiten
Springer International Publishing (Verlag)
978-3-031-37993-2 (ISBN)
This book aims to provide threshold models to help physicians to make optimal diagnostic, therapeutic and predictive decisions. Readers will not only find theoretical information but also practical examples illustrating how these decisions should be made.
Poor decision-making is considered a leading cause of death in contemporary medicine. Decisions, however, have to be made - at a given threshold of risk and unfortunately physicians are not trained on how to make decisions. This book provides help to all those who want to improve their decision-making for a better patient outcome. With its examples from hematology and oncology the book will not only benefit haematologists and oncologists but physicians from all disciplines, hence the threshold model is applicable to all fields in medicine. This book will be useful to experienced physicians as well as trainees alike.
Benjamin Djulbegovic is a Professor at City of Hope. His main academic and research interest lies in attempts to measure and optimize clinical research and practice of medicine by understanding both, the nature of medical evidence and decision-making. His work aims to integrate methods and techniques across evidence-based medicine (EBM), predictive analytics, health outcome research, and decision-sciences with the goal of improvement of health care. Dr. Djulbegovic has systematically applied science of EBM and decision analysis to the entire fields of hematology and oncology that resulted in two books; the book on 'Reasoning and decision-making in hematology' was listed one of the best books by J Natl Cancer Inst and the book 'Decision Making in Oncology. Evidence-based management' was assessed as 'one of the first and best attempts to apply an evidence-based approach to the practice of medical oncology'.
Iztok Hozo is a Professor at Indiana University Northwest. After completing his doctoral thesis in applied mathematics at University of Michigan, his main research interests became applications of mathematical modelling and decision theory in Medical applications. Mainly collaborating with Dr. Djulbegovic, he published 75 articles in peer-reviewed scientific journals.
In addition to receiving several Indiana University awards for excellence in research, Dr. Hozo won prestigious teaching awards in recognition of his expertise in the classroom and curriculum development.
He is a mathematician capable of translating real scientific and medical problems into mathematical language. His mathematical acumen has enabled him to tackle the vast array of diverse medical problems. Over the years he has made contribution to statistical analysis of clinical data and improvement in techniques of meta-analysis, tackled the issues of diagnostic tests using information theory approach, recast the issue of clinical trials from game theory point of view, developed new methods for decision-making, including a novel method based on mathematical modelling of regret, and helped develop the first mathematical model of decision-making that is based on dual processing theory and developed a new theory called acceptable regret, which could explain many phenomena in the diagnostic and treatment decisions in medicine.
According to Google Scholar, his current h-index is 25. One of his published articles has over 4200 citations (written jointly with Dr. Djulbegovic and Mrs. Pudar-Hozo).
| Erscheint lt. Verlag | 3.10.2023 |
|---|---|
| Reihe/Serie | Cancer Treatment and Research |
| Zusatzinfo | XXIII, 138 p. 29 illus., 16 illus. in color. |
| Sprache | englisch |
| Themenwelt | Medizin / Pharmazie ► Medizinische Fachgebiete ► Innere Medizin |
| Schlagworte | Decision-making Threshold • Decision-support Systems • Dual Processing Theory • Evidence-based Medicine • Heuristic decision-making • Medical Decision Making • Regret Theory • Threshold Decision-making • Treatment Thresholds • Utility Theory |
| ISBN-10 | 3-031-37993-4 / 3031379934 |
| ISBN-13 | 978-3-031-37993-2 / 9783031379932 |
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