Patterns and Predictors of Clinician Use of Interoperability Tools

Objectives Clinicians’ adoption of interoperability tools influences care quality, but evidence of actual use is limited. We analyze clinicians’ use of outside records delivered via Epic Care Everywhere (CE), focusing on use frequency and predictors like gender, experience, specialty, and role. Differences between pre-pandemic (2018–2019) and pandemic (2020–2021) periods are also examined to see how COVID-19 affected use of outside records. Materials and Methods De-identified EHR metadata from UCSF clinicians (n = 1,442) during pre-pandemic and pandemic periods, totaling 686,797 clinician-day observations, were analyzed. We measured usage intensity (mean CE lookups per appointment) and breadth (percentage of appointments with > =1 lookup). Generalized linear models (GLM) with a negative binomial distribution for overdispersion were used to estimate predictors of intensity. Results CE usage intensity rose 43.0% post-COVID-19 onset compared to pre-pandemic. Clinician specialty most strongly predicted use, with Nephrology and Cardiology showing the highest breadth (56.0% and 53.0% of visits, respectively), while Dermatology (13.2%) and Pediatrics (23.4%) were lowest. Residents used CE 23.0% greater intensity than attendings, and each additional year of experience was linked to a 0.57% drop in intensity. Discussion Clinician use of interoperability tools was higher in specialties like Nephrology and Cardiology that require more care coordination, and among less experienced clinicians including resident physicians. Use increased after the pandemic started, likely due to ongoing adoption trends and increased clinical demands during system strain and uncertainty. Conclusion These findings underscore the critical importance of considering clinician behavior and contextual factors, such as specialty care needs, in addition to technical capabilities, when promoting the adoption and use of interoperability tools.