Citations

Objective Ambient listening with subsequent artificial intelligence enabled medical record documentation is changing how physicians interact with the electronic health record (EHR). We studied primary care physician use, documentation time, and changes in note metrics associated with ambient listening technology. Methods We calculated the percentage of physicians adopting the ambient listening tool, Abridge. Note input contributed by Abridge was determined by the percentage of total characters in generated notes. Using the Epic EHR Signal metrics, we analyzed the change in note documentation time and note length for Abridge users before and after they implemented Abridge in their note generation process. Results The percentage of physicians using Abridge increased from 15% to 50% in 8 weeks. Adoption was also reflected in the percentage of the note attributable to the use of ambient listening technology. Note content generated by Abridge tripled, from 5% to 15% over the same 8 weeks. After Abridge adoption, 332 primary care physicians had a mean time of 4.16 minutes [confidence interval (CI) 95%; 3.86, 4.46] time in notes per note in a paired comparison to 5.11 minutes [CI 95%; 4.75, 5.47] per note prior to Abridge. Mean time saved per note after Abridge was 0.95 minutes [CI 95%; 0.48, 1.42, p < 0.0001], an 18.6% reduction in time. Mean note length for Abridge adopters increased by 238 characters [CI 95%; 89, 387, p < 0.0001] from a pre-implementation mean of 4404 characters per note (+5.4%). Conclusion Ambient listening had rapid uptake and widespread use by physicians in primary care. It was also associated with a significant decrease in time in notes.

Objective: The purpose of this study was to implement a 2-phase approach to rapidly increase the number of annual wellness visits (AWVs) and build a sustainable model at 3 study units (Mayo Clinic in Rochester, Minnesota, and clinics in 2 regions of Mayo Clinic Health System), which collectively serve approximately 80 000 patients who qualify for an AWV annually. Methods: In the rapid improvement phase, beginning in July 2022, goals at the facilities were reoriented to prioritize AWVs, educate staff on existing AWV resources, and create low-effort workflows so that AWVs could be incorporated into existing patient appointments. Staff at all 3 study units worked independently and iterated quickly. In the second phase, all study units collaborated to design and implement a best-practice solution while they leveraged the engagement and lessons learned from the first phase and invested in additional system elements and change management to codify long-term success. Results: The number of AWVs completed monthly increased in each study unit. In the rapid improvement phase, the number of AWVs increased but then plateaued (or decreased at some study units). In April 2023, the final scheduled outreach automation and visit tools were implemented, and the number of AWVs was sustained or increased, while outreach and scheduling times were decreased. The number of completed AWVs increased from 1148 across all study units in the first 6 months of 2022 to 14 061 during the first 6 months of 2023. Conclusions: The lessons learned from this project can be applied to other health systems that want to provide more patients with AWVs while improving operational efficiency. The keys are to have a clear vision of a successful outcome, engage all stakeholders, and iterate quickly to find what works best for the organization.