Impact of a medical scribe on clinical efficiency and quality in an academic general internal medicine practice

Effect of a National VHA Medical Scribe Pilot on Provider Productivity, Wait Times, and Patient Satisfaction in Cardiology and Orthopedics

BACKGROUND

Section 507 of the VA MISSION Act of 2018 mandated a 2-year pilot study of medical scribes in the Veterans Health Administration (VHA), with 12 VA Medical Centers randomly selected to receive scribes in their emergency departments or high wait time specialty clinics (cardiology and orthopedics). The pilot began on June 30, 2020, and ended on July 1, 2022.

OBJECTIVE

Our objective was to evaluate the impact of medical scribes on provider productivity, wait times, and patient satisfaction in cardiology and orthopedics, as mandated by the MISSION Act.

DESIGN

Cluster randomized trial, with intent-to-treat analysis using difference-in-differences regression.

PATIENTS

Veterans using 18 included VA Medical Centers (12 intervention and 6 comparison sites).

INTERVENTION

Randomization into MISSION 507 medical scribe pilot.

MAIN MEASURES

Provider productivity, wait times, and patient satisfaction per clinic-pay period.

KEY RESULTS

Randomization into the scribe pilot was associated with increases of 25.2 relative value units (RVUs) per full-time equivalent (FTE) (p < 0.001) and 8.5 visits per FTE (p = 0.002) in cardiology and increases of 17.3 RVUs per FTE (p = 0.001) and 12.5 visits per FTE (p = 0.001) in orthopedics. We found that the scribe pilot was associated with a decrease of 8.5 days in request to appointment day wait times (p < 0.001) in orthopedics, driven by a 5.7-day decrease in appointment made to appointment day wait times (p < 0.001), and observed no change in wait times in cardiology. We also observed no declines in patient satisfaction with randomization into the scribe pilot.

CONCLUSIONS

Given the potential improvements in productivity and wait times with no change in patient satisfaction, our results suggest that scribes may be a useful tool to improve access to VHA care. However, participation in the pilot by sites and providers was voluntary, which could have implications for scalability and what effects could be expected if scribes were introduced to the care process without buy-in. Cost was not considered in this analysis but is an important factor for future implementation.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT04154462.

Medical scribes improve documentation consistency and efficiency in an otolaryngology clinic

OBJECTIVE

Scribes in medical practice enable more efficient documentation requirements but insufficient analyses have occurred to fully evaluate their efficacy in otolaryngology. We analyzed pre/post metrics of scribe implementation that may aid practitioners in determining feasibility for use in their practices.

METHODS

1808 patient charts were analyzed in The Epic Electronic Medical Record system (EMR) (903 pre and 905 post scribe implementation). We measured: clinic volumes, time saved in documentation, chart billing level, and lag days of chart closure.

RESULTS

Patient volumes increased by 3.02% with an 11-17% decrease in time spent in clinic/day and lag days for billing. The distribution of visits for new patients was 17.75% level 2, 51.45% level 3, 29.71% level 4 before the scribe and was 6.83% level 2, 89.21% level 3, 3.96% level 4 after the scribe. For established patients it was 3.97% level 2, 84.92% level 3, 8.93% level 4 before and 0.34% level 2, 91.76% level 3, 7.73% level 4 after. The change in level of documentation for established and new patients pre and post scribe implementation was not statistically significant (p = 0.821, 0.063, respectively). Charts were closed within 0 to 7 days with the implementation of a scribe instead of 7-21 days when awaiting dictations for transcription.

CONCLUSIONS

The implementation of a scribe in an academic otolaryngology clinic facilitated more rapid completion of documentation while decreasing provider hours/day in clinic. We feel the analysis can be generalized to otolaryngology practitioners in general and the data structures we implemented are usable for others.