Florenta’s paper "Artificial Intelligence in Healthcare? Evidence from Online Job Postings" (with Avi Goldfarb and Bledi Taska) was chosen to be included in the 2020 edition of the AEA Papers and Proceedings, also formerly known as the May issue of the AER journal.
Artificial Intelligence in Healthcare? Evidence from Online Job Postings
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. We also show evidence suggesting that fear of job displacement for hospital decision-makers is a possible explanation for the low rate of AI adoption.