WTuD1 - From Burnout to Balance: Implementing Ambient AI Scribe in a Federally Qualified Health Center

Session Description: Ambient Artificial Intelligence (AI) scribes have emerged as a promising solution to alleviate the electronic health record (EHR) documentation burden and EHR-related burnout. While their use has been explored in academic and private healthcare settings, there is limited understanding of how these AI tools perform in Federally Qualified Health Centers (FQHCs), institutions that provide care for all and cost-effective care to diverse and underserved populations.

This session will share lessons from the implementation process of ambient artificial intelligence (AI) scribe technology at one of the largest FQHCs. Presenters will discuss the vendor selection process, early challenges, and taken to support implementation and adoption among clinical staff.
Drawing on findings from a feasibility and usability study conducted within the FQHC during the implementation process, the session will explore factors contributing to successful adoption and sustained use. Special focus will be given to challenges unique to the FQHC setting, such as the perceived accuracy of the AI in transcribing both English and non-English patient-provider conversations.

Practical insights and recommendations for adopting AI-powered documentation tools in resource constrained and linguistically diverse settings will be shared to guide other health centers considering similar workforce innovations.