Thinking About Thinking
A Prescription for Healthcare Improvement
1st Edition
Published on 22. July 2024
Book
Hardback
246 pages
978-0-367-34089-6 (ISBN)
Description
Why do some clinicians make better decisions than others?
Do all clinicians become better decision-makers over time?
Is decision-making in healthcare an independent and trainable skill?
This book is about the practice of medicine and the decision-making of the people we entrust with our care. While treatments, technologies and professional roles have evolved over the years, the essential act of decision-making has remained constant.
Through personal experience, research and feedback from colleagues across healthcare, the authors examine how metacognition - or thinking about thinking - can provide a toolkit with which to improve the decision-making of all healthcare professionals.
The rise of digital tools and AI-based clinical support systems makes this a critical time to grasp how human decision-makers operate and how to best harness the increasing volume of healthcare data available.
This is a thought-provoking read for professionals and curious minds alike, packed with ideas and practical advice about how to improve decision-making in healthcare and deliver better outcomes for patients.
Do all clinicians become better decision-makers over time?
Is decision-making in healthcare an independent and trainable skill?
This book is about the practice of medicine and the decision-making of the people we entrust with our care. While treatments, technologies and professional roles have evolved over the years, the essential act of decision-making has remained constant.
Through personal experience, research and feedback from colleagues across healthcare, the authors examine how metacognition - or thinking about thinking - can provide a toolkit with which to improve the decision-making of all healthcare professionals.
The rise of digital tools and AI-based clinical support systems makes this a critical time to grasp how human decision-makers operate and how to best harness the increasing volume of healthcare data available.
This is a thought-provoking read for professionals and curious minds alike, packed with ideas and practical advice about how to improve decision-making in healthcare and deliver better outcomes for patients.
Reviews / Votes
'This book is a must read for all doctors and healthcare professionals wanting to make better decisions for their patients. Particularly as artificial intelligence enters the healthcare space, this timely book offers powerful insights into why improving human thinking and decision-making should remain central to improving modern medical practice and training.' - Dr Dominic Crocombe, Gastroenterology Registrar, Royal Free Hospital and NIHR Clinical Fellow in Hepatology, University College London, UK'A very interesting and novel perspective on how we think about decision making in healthcare.' - Martin Bromiley OBE, Founder, Clinical Human Factors Group 'This book is a must read for all doctors and healthcare professionals wanting to make better decisions for their patients. Particularly as artificial intelligence enters the healthcare space, this timely book offers powerful insights into why improving human thinking and decision-making should remain central to improving modern medical practice and training.' Dr Dominic Crocombe, Gastroenterology Registrar, Royal Free Hospital and NIHR Clinical Fellow in Hepatology, University College London, UK
'A very interesting and novel perspective on how we think about decision making in healthcare.' Martin Bromiley OBE, Founder, Clinical Human Factors Group, UK
'Thinking About Thinking' has been a crucial guide in enhancing my decision-making skills as a GP trainee to help navigate the complexities of healthcare.' Dr Carol Chan, Academic GP Trainee, Imperial College London, UK
'As a trainee GP with a hospital background, I'm learning to be a primary care generalist; a specialism that defines itself on assessing clinical risk and
diagnostic probabilities. This is a book for anyone in healthcare who wants to understand how and why they make decisions.' Dr Claire Edwin, GP Registrar, UK
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Academic and Professional Reference
Illustrations
14 farbige Zeichnungen, 22 farbige Abbildungen, 8 Farbfotos bzw. farbige Rasterbilder, 2 s/w Zeichnungen, 2 s/w Abbildungen
14 Line drawings, color; 2 Line drawings, black and white; 8 Halftones, color; 22 Illustrations, color; 2 Illustrations, black and white
Dimensions
Height: 222 mm
Width: 145 mm
Thickness: 18 mm
Weight
460 gr
ISBN-13
978-0-367-34089-6 (9780367340896)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
07/2024
1st Edition
CRC Press
€68.50
Shipment within 15-20 days
E-Book
07/2024
1st Edition
CRC Press
€44.99
Available for download
E-Book
07/2024
1st Edition
CRC Press
€44.99
Available for download
Persons
Dr Yang Chen completed medicine as an undergraduate at both Cambridge and Oxford University. He has been a Specialist Registrar in Cardiology since 2017 and was awarded a NIHR Academic Clinical Fellowship at University College London.
Yang has a passion for medical writing with a track record of publication across different subject matter and styles. His previous work has received national recognition (Royal College of Physicians Teale Essay Prize 2016) and he has published academic papers that have contributed to international guidelines.
Yang was a contributor to Clinical Guide to Cardiology (Wiley Publishing, 2015) and was subsequently co-editor of Clinical Guide to Gastroenterology (Wiley Publishing, 2018). His most recent writing has been published by BMJ Leader and the Faculty of Medical Leadership and Management and he is currently completing a PhD in computerised decision support and pragmatic clinical trials at the UCL Institute of Health Informatics.
Dr Myura Nagendran is a Specialist Registrar and Fellow of the Faculty of Intensive Care Medicine. He graduated from Cambridge and Oxford Universities and is due to complete his postgraduate clinical training in London in 2025.
Myura has published over 50 peer-reviewed papers in journals including the BMJ, Lancet and Nature Medicine and his work has been featured by Fortune and BBC World. He is currently completing a PhD at Imperial College London focused on clinical AI and the evaluation of explainability in high fidelity simulation settings. He has also served on international guideline committees for the surgical treatment of AF (2013) and early-stage AI-driven decision support evaluation (2022).
Yang has a passion for medical writing with a track record of publication across different subject matter and styles. His previous work has received national recognition (Royal College of Physicians Teale Essay Prize 2016) and he has published academic papers that have contributed to international guidelines.
Yang was a contributor to Clinical Guide to Cardiology (Wiley Publishing, 2015) and was subsequently co-editor of Clinical Guide to Gastroenterology (Wiley Publishing, 2018). His most recent writing has been published by BMJ Leader and the Faculty of Medical Leadership and Management and he is currently completing a PhD in computerised decision support and pragmatic clinical trials at the UCL Institute of Health Informatics.
Dr Myura Nagendran is a Specialist Registrar and Fellow of the Faculty of Intensive Care Medicine. He graduated from Cambridge and Oxford Universities and is due to complete his postgraduate clinical training in London in 2025.
Myura has published over 50 peer-reviewed papers in journals including the BMJ, Lancet and Nature Medicine and his work has been featured by Fortune and BBC World. He is currently completing a PhD at Imperial College London focused on clinical AI and the evaluation of explainability in high fidelity simulation settings. He has also served on international guideline committees for the surgical treatment of AF (2013) and early-stage AI-driven decision support evaluation (2022).
Content
Prologue Part 1 - Context, Objectives, Chapter 1 Introduction, Chapter 2 Healthcare now, Summary, Part 2 - The Wrong Kind of Training, Objectives, Chapter 3 Old foundations, Chapter 4 Assessment for assessment's sake, Chapter 5 See one, do one, teach one, Summary, Part 3 - How Decisions are Currently Made, Objectives, Chapter 6 Anatomy of a decision, Chapter 7 Common biases, Chapter 8 Process versus outcome, Chapter 9 A prescription for better decisions, Chapter 10 The Nightingale experience, Summary, Part Four - How Decisions will be Made in the Future, Objectives, Chapter 11 How decisions will be made in the future, Chapter 12 Two black boxes, Chapter 13 Care in the future, Summary, Epilogue