The Economics of Artificial Intelligence

Health Care Challenges

Ajay Agrawal, Joshua Gans, Avi Goldfarb , Catherine E. Tucker

$157.95

Hardback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

University of Chicago Press
03 July 2024

Health economics; Health systems & services; Artificial intelligence

Series: National Bureau of Economic Research Conference Report

A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system.

In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI.

The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

Edited by: Ajay Agrawal, Joshua Gans, Avi Goldfarb, Catherine E. Tucker
Imprint: University of Chicago Press
Country of Publication: United States
Dimensions: Height: 229mm, Width: 152mm, Spine: 23mm
Weight: 399g
ISBN: 9780226833118
ISBN 10: 0226833119
Series: National Bureau of Economic Research Conference Report
Pages: 192
Publication Date: 03 July 2024
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Acknowledgment Introduction Ajay Agrawal, Joshua Gans, Avi Goldfarb, and Catherine Tucker 1. Artificial Intelligence, the Evolution of the Healthcare Value Chain, and the Future of the Physician David Dranove and Craig Garthwaite Comment: Dawn Bell 2. The Potential Impact of Artificial Intelligence on Healthcare Spending Nikhil R. Sahni, George Stein, Rodney Zemmel, and David Cutler Comment: David C. Chan Jr. Comment: Mark Sendak, Freya Gulamali, and Suresh Balu 3. Health Data Platforms Sendhil Mullainathan and Ziad Obermeyer Comment: Tyna Eloundou and Pamela Mishkin Comment: Judy Gichoya Comment: Vardan Papyan, Daniel A. Donoho, and David L. Donoho 4. The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives Ariel Dora Stern Comment: Boris Babic Additional Comments Comment on Chapters 1 and 2: Building Physician Trust in Artificial Intelligence: Susan Feng Lu Comment on Chapters 1 and 2: Insights from Adoption of Electronic Health Records: Idris Adjerid Comment on Chapters 1 and 3: Artificial Intelligence and Decision Making in Healthcare: Prediction or Preferences?: M. Kate Bundorf and Maria Polyakova Comment on Chapters 1 and 4: Health AI, System Performance, and Physicians in the Loop: W. Nicholson Price II Comment on Chapters 1–4: Building Blocks for AI in Healthcare: Laura C. Rosella Author Index Subject Index

Ajay Agrawal is professor of strategic management and the Geoffrey Taber Chair in Entrepreneurship and Innovation at the University of Toronto. Joshua Gans is professor of strategic management and the Jeffrey S. Skoll Chair in Technical Innovation and Entrepreneurship at the University of Toronto. Avi Goldfarb is the Rotman Chair in Artificial Intelligence and Healthcare and professor of marketing at the University of Toronto. Catherine E. Tucker is the Sloan Distinguished Professor of Management Science at MIT Sloan.