AI in Healthcare 2020 Leadership Survey Report: Through the eyes of the CIO
  • AI is not part of their current plans (36%), more than quarter (27%) are assessing and planning to deploy AI in the future and 23% are advanced and proficient with AI
  • Top 3 benefits of AI: Improving efficiency, workflow and accuracy
  • Top priority for AI: Using EMR data to reliably predict risk
  • Top challenge of AI: Lack of financial resources
  • AI holds the greatest promise in: Diabetes, neurological disease and heart disease
  • Almost two-thirds of their organizations expect to add 1-10 AI apps in the next 18 months
  • About half report their organizations will spend $1million to $10 million on AI this year
  • About half will spend $1 million to $10 million this year on infrastructure
  • Optimism reigns supreme among CIOs, with most of them reporting that their organization has a full understanding of data governance and privacy, uses data to effectively support AI efforts and senior leadership demonstrates ownership and commitment to AI initiatives
  • 59% work for an organization that is already using 1-10 AI-based apps in clinical practice
  • 53% have a data governance policy
  • CIOs aren’t yet sure (44%) if they want to share de-identified data with other healthcare organizations to improve AI methods, although 38% will share it for a fee.
  • While about half are shy on collaborating with research organizations to develop AI apps trained on local patient data reporting they have no plans to collaborate. Some 38% are planning to collaborate.
  • 57% plan to commercialize AI apps they have developed