Artificial Intelligence in Health Care? Evidence from Online Job Postings
AbstractThis 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.
CitationGoldfarb, Avi, Bledi Taska, and Florenta Teodoridis. 2020. "Artificial Intelligence in Health Care? Evidence from Online Job Postings." AEA Papers and Proceedings, 110: 400-404. DOI: 10.1257/pandp.20201006
- I11 Analysis of Health Care Markets
- J23 Labor Demand
- J24 Human Capital; Skills; Occupational Choice; Labor Productivity
- J31 Wage Level and Structure; Wage Differentials
- O33 Technological Change: Choices and Consequences; Diffusion Processes