More than 80 percent of health IT leaders surveyed believe automation with AI is a top priority, while only half have yet to adopt
CliniComp, the pioneer in high-performing, reliable electronic health record (EHR) solutions, today announced the results of a new CHIME Foundation survey of Chief Information Officers (CIOs) that supports artificial intelligence (AI) within EHR systems. These findings reflect the growing value healthcare leaders see in AI adoption, including automating and offloading administrative burdens faced by providers and staff throughout their health systems.
According to the survey respondents, 81% believe automating administrative tasks is one of the top three priorities for implementing AI in their healthcare IT strategy. Other priorities selected included enhancing clinical decision support (70%) and improving revenue cycle management and financial processes (59%).
In a nod to minimizing the need to implement and manage third-party AI software, 48% of CIOs believe it is extremely important for “AI capabilities to be natively embedded within your EHR.”
“The survey shows the extent to which hospital and health system CIOs are focused on adopting artificial intelligence tools throughout their organizations,” says Kem Graham, Vice President, Growth and Strategy at CliniComp. “The results also suggest ongoing uncertainty about the best approach to integrating AI into their EHRs and other IT systems.”
For example, almost one third of CIOs that CHIME surveyed (32%), reported that AI-driven interoperability is ‘extremely important’ for improving data sharing and care coordination, and the remaining 68% of respondents said it was ‘somewhat important.’
CIOs have a range of AI capabilities on their wish lists. When asked to choose among the most pressing EHR workflow challenges that AI could help solve:
- 15% selected optimizing revenue cycle management (RCM) through claims processing and denials management
- 54% selected documentation burdens and noted that technology could help with ambient listening, dictation, and automated notes
- 15% chose clinical decision support through capabilities like predictive analytics
- 12% believed AI could improve patient throughput optimization through better scheduling and bed management
- 4% chose a role for reducing alert fatigue and improving clinician adoption
Even so, optimal AI-assisted technology in healthcare organizations remains a moving target. In a separate survey June 12, 2025, in Beckers Health IT, only 2% of IT Leaders at medium to large healthcare organizations reported their AI EHR capabilities were fully developed. In addition, the CHIME Foundation survey revealed a nearly even split between CIOs who report that they are actively using AI-powered tools (52%) and another who are currently evaluating AI solutions for future adoption (48%).
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