AI in Healthcare 2020 Leadership Survey Report: The early adopters
  • Proficient in AI (75%) or advanced (25%) in using and developing AI for several years
  • 67% are using 1-10 AI applications; 15% are using 11-50 apps and 7% are using more than 50 apps
  • Most (38%) are multihospital systems/IDNs (38%) or academic medical centers (27%)
  • 71% have a data governance policy
  • Infrastructure is the No. 1 purchase this year, with 76% spending up to $10 million
  • Almost three quarters of these facilities are using or expect to be using 1-10 AI-based applications, while 18 percent will be using 11-50 AI applications
  • Top 3 benefits of AI: Improving workflow, efficiency and accuracy
  • Top priority for AI: AI alerting clinicians to declines in patient condition
  • Top barrier to AI adoption: Lack of financial resources
  • AI holds the greatest promise in: Heart disease, cancer and stroke
  • 70% will spend up to $10 million on AI this fiscal year; about 12% will spend more than
  • $10 million this year on AI
  • CIO is leading the way (35%) but these facilities also are more likely to have a chief analytics officer, chief innovation officer or chief AI officer
  • Data scientists are helping to develop and hone AI apps: 46% employ fewer than 10 data scientists, while 32% have 11-50 on staff
  • 45% are collaborating with research organizations to develop AI applications trained on local patient data; 54% plan to commercialize AI apps