Bulletin - Bureau of Economic and Business Research
Author: Washington State University. Bureau of Economic and Business Research
Publisher:
Published: 1967
Total Pages: 286
ISBN-13:
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Author: Washington State University. Bureau of Economic and Business Research
Publisher:
Published: 1967
Total Pages: 286
ISBN-13:
DOWNLOAD EBOOKAuthor: University of Illinois at Urbana-Champaign. Bureau of Economic and Business Research
Publisher:
Published: 1969
Total Pages: 0
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DOWNLOAD EBOOKAuthor: University of Florida. Bureau of Economic and Business Research
Publisher:
Published: 1953
Total Pages: 102
ISBN-13:
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Published:
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Published: 19??
Total Pages: 0
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DOWNLOAD EBOOKAuthor: National Bureau of Economic Research
Publisher:
Published: 1922
Total Pages: 334
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DOWNLOAD EBOOKAuthor: University of Illinois. Bureau of Business Research
Publisher:
Published: 1922
Total Pages:
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DOWNLOAD EBOOKAuthor: Alfred Whaley Booth
Publisher:
Published: 1944
Total Pages: 410
ISBN-13:
DOWNLOAD EBOOKAuthor: Harvard University. Graduate School of Business Administration. Bureau of Business Research
Publisher:
Published: 1915
Total Pages: 15
ISBN-13:
DOWNLOAD EBOOKAuthor: Ajay Agrawal
Publisher: University of Chicago Press
Published: 2024-03-05
Total Pages: 172
ISBN-13: 0226833127
DOWNLOAD EBOOKA 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.