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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
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Top 3 benefits of AI: Improving efficiency, workflow and accuracy
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Top priority for AI: Using EMR data to reliably predict risk
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Top challenge of AI: Lack of financial resources
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AI holds the greatest promise in: Diabetes, neurological disease and heart disease
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Most two-thirds of their organizations expect to add 1-10 AI apps in the next 18 months
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About half report their organizations will spend $1million to $10 million on AI this year
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About half will spend $1 million to $10 million this year on infrastructure
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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
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59% work for an organization that is already using 1-10 AI-based apps in clinical practice
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53% have a data governance policy
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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.
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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.
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Some 38% are planning to collaborate.57% plan to commercialize AI apps they have developed
