Artificial Intelligence in Health Care? Evidence from Online Job Postings

Avi Goldfarb, Bledi Taska and Florenta Teodoridis

AEA Papers and Proceedings, 2020, vol. 110, 400-404

Abstract: This paper documents a puzzle. Despite the numerous popular press discussions of artificial intelligence (AI) in health care, there has been relatively little adoption. Using data from Burning Glass Technologies on millions of online job postings, we find that AI adoption in health care remains substantially lower than in most other industries and that under 3 percent of the hospitals in our data posted any jobs requiring AI skills from 2015–2018. The low adoption rates mean any statistical analysis is limited. Nevertheless, the adoption we do observe shows that larger hospitals, larger counties, and integrated salary model hospitals are more likely to adopt.

JEL-codes: I11 J23 J24 J31 O33 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (10)

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DOI: 10.1257/pandp.20201006

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