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The Economics of Artificial Intelligence

Health Care Challenges
BuchGebunden
192 Seiten
Englisch
The University of Chicago Presserschienen am14.03.2024
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.mehr
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BuchGebunden
EUR142,50
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Produkt

KlappentextA 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.
Details
ISBN/GTIN978-0-226-83311-8
ProduktartBuch
EinbandartGebunden
Erscheinungsjahr2024
Erscheinungsdatum14.03.2024
Seiten192 Seiten
SpracheEnglisch
MasseBreite 156 mm, Höhe 230 mm, Dicke 20 mm
Gewicht394 g
Artikel-Nr.61010466
Rubriken
GenreWirtschaft

Inhalt/Kritik

Inhaltsverzeichnis
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 Indexmehr

Autor

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.