Artificial Intelligence for Healthcare: Interdisciplinary Partnerships for Analytics-driven Improvements in a Post-COVID World

doi:10.1017/9781108872188

Healthcare has recently seen numerous exciting applications of artificial intelligence, industrial engineering, and operations research. This book, designed to be accessible to a diverse audience, provides an overview of interdisciplinary research partnerships that leverage AI, IE, and OR to tackle societal and operational problems in healthcare. The topics are drawn from a wide variety of disciplines, ranging from optimizing the location of AEDs for cardiac arrests to data mining for facilitating patient flow through a hospital. These applications highlight how engineering has contributed to medical knowledge, health system operations, and behavioral health. Chapter authors include medical doctors, policy-makers, social scientists, and engineers. Each chapter begins with a summary of the health care problem and engineering method. In these examples, researchers in public health, medicine, and social science as well as engineers will find a path to start interdisciplinary collaborations in health applications of AI/IE/OR.

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Contents

Artificial Intelligence for Healthcare
pp i-ii
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Artificial Intelligence for Healthcare - Title page
pp iii-iii
Interdisciplinary Partnerships for Analytics-driven Improvements in a Post-COVID World
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Copyright page
pp iv-iv
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Contents
pp v-vi
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Contributors
pp vii-viii
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Preface
pp ix-x
- By Sze-chuan Suen, David Scheinker, Eva Enns
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Introduction
pp 1-12
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1 - Artificial Intelligence and Public Health
pp 3-12
Opportunities Abound
- By Sheldon H. Jacobson, Janet A. Jokela
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Part I - Personalized Medicine
pp 13-80
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2 - How AI Can Help Depression Treatment
pp 15-36
Designing Patient-Specific Adaptive Interventions
- By Shan Liu, Shuai Huang
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3 - Personalizing Medicine
pp 37-59
Estimating Heterogeneous Treatment Effects
- By Tony Duan, Sanjay Basu
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4 - Proceed with Care
pp 60-80
Integrating Predictive Analytics with Patient Decision Making
- By Hamsa Bastani, Pengyi Shi
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Part II - Optimizing Healthcare Systems
pp 81-82
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5 - Using Algorithmic Solutions to Address Gatekeeper Training Issues for Suicide Prevention on College Campuses
pp 83-109
- By Anthony Fulginiti, Aida Rahmattalabi, Jarrod Call, Phebe Vayanos, Eric Rice
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6 - Optimizing Defibrillator Deployment
pp 110-140
- By Timothy C.Y. Chan, Christopher L.F. Sun
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7 - Optimization of Biomarker-Based Prostate Cancer Screening Policies
pp 141-158
- By Christine L. Barnett, Brian T. Denton
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8 - Analytics-Driven Capacity Management
pp 159-181
Principles and Practical Lessons from Projects at Three Hospitals
- By Margaret L. Brandeau, David Scheinker
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9 - Practical Advice for Clinician–Engineer Partnerships for the Use of AI, Optimization, and Analytics for Healthcare Delivery
pp 182-192
- By David Scheinker, Robert A. Harrington, Fatima Rodriguez
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Artificial Intelligence for Healthcare

Interdisciplinary Partnerships for Analytics-driven Improvements in a Post-COVID World

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Contents

Artificial Intelligence for Healthcare
pp i-ii

Artificial Intelligence for Healthcare - Title page
pp iii-iii

Copyright page
pp iv-iv

Contents
pp v-vi

Contributors
pp vii-viii

Preface
pp ix-x

Introduction
pp 1-12

1 - Artificial Intelligence and Public Health
pp 3-12

Part I - Personalized Medicine
pp 13-80

2 - How AI Can Help Depression Treatment
pp 15-36

3 - Personalizing Medicine
pp 37-59

4 - Proceed with Care
pp 60-80

Part II - Optimizing Healthcare Systems
pp 81-82

5 - Using Algorithmic Solutions to Address Gatekeeper Training Issues for Suicide Prevention on College Campuses
pp 83-109

6 - Optimizing Defibrillator Deployment
pp 110-140

7 - Optimization of Biomarker-Based Prostate Cancer Screening Policies
pp 141-158

8 - Analytics-Driven Capacity Management
pp 159-181

9 - Practical Advice for Clinician–Engineer Partnerships for the Use of AI, Optimization, and Analytics for Healthcare Delivery
pp 182-192

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Artificial Intelligence for Healthcare

Interdisciplinary Partnerships for Analytics-driven Improvements in a Post-COVID World

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