Jennifer R Simpson1, Chen-Tan Lin2, Amber Sieja2, Stefan H Sillau3, Jonathan Pell2. 1. Department of Neurology, University of Colorado School of Medicine, Aurora, Colorado, USA. 2. Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA. 3. Department of Neurology and Biostatistics, University of Colorado School of Medicine, Aurora, Colorado, USA.
Abstract
OBJECTIVE: We sought reduce electronic health record (EHR) burden on inpatient clinicians with a 2-week EHR optimization sprint. MATERIALS AND METHODS: A team led by physician informaticists worked with 19 advanced practice providers (APPs) in 1 specialty unit. Over 2 weeks, the team delivered 21 EHR changes, and provided 39 one-on-one training sessions to APPs, with an average of 2.8 hours per provider. We measured Net Promoter Score, thriving metrics, and time spent in the EHR based on user log data. RESULTS: Of the 19 APPs, 18 completed 2 or more sessions. The EHR Net Promoter Score increased from 6 to 60 postsprint (1.0; 95% confidence interval, 0.3-1.8; P = .01). The NPS for the Sprint itself was 93, a very high rating. The 3-axis emotional thriving, emotional recovery, and emotional exhaustion metrics did not show a significant change. By user log data, time spent in the EHR did not show a significant decrease; however, 40% of the APPs responded that they spent less time in the EHR. CONCLUSIONS: This inpatient sprint improved satisfaction with the EHR.
OBJECTIVE: We sought reduce electronic health record (EHR) burden on inpatient clinicians with a 2-week EHR optimization sprint. MATERIALS AND METHODS: A team led by physician informaticists worked with 19 advanced practice providers (APPs) in 1 specialty unit. Over 2 weeks, the team delivered 21 EHR changes, and provided 39 one-on-one training sessions to APPs, with an average of 2.8 hours per provider. We measured Net Promoter Score, thriving metrics, and time spent in the EHR based on user log data. RESULTS: Of the 19 APPs, 18 completed 2 or more sessions. The EHR Net Promoter Score increased from 6 to 60 postsprint (1.0; 95% confidence interval, 0.3-1.8; P = .01). The NPS for the Sprint itself was 93, a very high rating. The 3-axis emotional thriving, emotional recovery, and emotional exhaustion metrics did not show a significant change. By user log data, time spent in the EHR did not show a significant decrease; however, 40% of the APPs responded that they spent less time in the EHR. CONCLUSIONS: This inpatient sprint improved satisfaction with the EHR.
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