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. 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.