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Code for: Artificial Intelligence in Healthcare? Evidence from online job postings

Version
1
Resource Type
Dataset
Creator
  • Goldfarb, Avi (University of Toronto)
  • Taska, Bledi (Burning Glass Technologies)
Publication Date
2020-06-29
Description
  • Abstract

    This paper documents a puzzle. Despite the numerous popular press discussions of artificial intelligence (AI) in healthcare, there has been relatively little adoption. Using data from Burning Glass Technologies on millions of online job postings, we find that AI adoption in healthcare remains substantially lower than in most other industries, and that under 3% 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.
Availability
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Publications
  • Goldfrab, Avi, Bledi Taska, and Florenta Teodoridis. “Artificial Intelligence in Healthcare? Evidence from Online Job Postings.” AEA Papers and Proceedings, n.d.

Update Metadata: 2020-06-29 | Issue Number: 1 | Registration Date: 2020-06-29

Goldfarb, Avi; Taska, Bledi (2020): Code for: Artificial Intelligence in Healthcare? Evidence from online job postings. Version: 1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E117124V1