Reinventing Clinical Decision Support-Data Analytics, Artificial Intelligence, and Diagnostic Reasoning

183 Pages·2020·30.698 MB·\183

by  Paul Cerrato (Author), John Halamka (Author)

RReeiinnvveennttiinngg CClliinniiccaall
DDeecciissiioonn SSuuppppoorrtt
Data Analytics, Artificial Intelligence,
and Diagnostic Reasoning

RReeiinnvveennttiinngg CClliinniiccaall
DDeecciissiioonn SSuuppppoorrtt
Data Analytics, Artificial Intelligence,
and Diagnostic Reasoning
Paul Cerrato and John Halamka
A PRODUCTIVITY PRESS BOOK
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Dedication
The first duty of every [writer] is to the truth, whether it’s scientific truth, or
historical truth or personal truth. If you can’t find it within yourself to stand up
and tell the truth . . . [y]ou don’t deserve [to be a writer].
— Captain Jean Luc Picard*
* Retrieved from https://www.youtube.com/watch?v=8AYY5dpzNlU.
vii

Contents
Dedication vii
Contents ix
Preface xiii
Reinventing CDS Requires Humility in the Face of
Overwhelming Complexity xiii
References xvi
About the Authors xvii
Chapter 1: Clinical Reasoning and Diagnostic Errors 1
Measuring Diagnostic Errors 1
Understanding the Multiple Causes of Diagnostic Errors 5
Diagnostic Reasoning 6
Type 1 and Type 2 Thinking 7
Combining Cognitive Approaches 8
Finding Solutions 11
Improving Clinicians’ Diagnostic Skills 13
Listening More, Talking Less 17
In Clinical Decision Support, Practical Beats Sexy 20
References 21
ix