PT  - JOURNAL ARTICLE
AU  - Jonathan H. Chen
AU  - Jason K. Wang
AU  - David Ouyang
AU  - Jason Hom
AU  - Jeffrey Chi
TI  - Characterizing Inpatient Medicine Resident Electronic Health Record Usage Patterns Using Event Log Data
AID  - 10.1101/428169
DP  - 2018 Jan 01
TA  - bioRxiv
PG  - 428169
4099  - http://biorxiv.org/content/early/2018/09/26/428169.short
4100  - http://biorxiv.org/content/early/2018/09/26/428169.full
AB  - Amid growing rates of burnout, physicians report increasing electronic health record (EHR) usage alongside decreasing clinical facetime with patients. There exists a pressing need to improve physician-computer-patient interactions by streamlining EHR workflow.To identify interventions to improve EHR design and usage, we systematically characterize EHR activity among internal medicine residents at a tertiary academic hospital across various inpatient rotations and roles from June 2013 to November 2016.Logged EHR timestamps were extracted from Stanford Hospital’s EHR system (Epic) and cross-referenced against resident rotation schedules. We tracked the quantity of EHR logs across 24-hour cycles to reveal daily usage patterns. In addition, we decomposed daily EHR time into time spent on specific EHR actions (e.g. chart review, note entry and review, results review).In examining 24-hour usage cycles from general medicine day and night team rotations, we identified a prominent trend in which night team activity promptly ceased at the shift’s end, while day team activity tended to linger post-shift. Across all rotations and roles, residents spent on average 5.38 hours (standard deviation=2.07) using the EHR. PGY1 (post-graduate year one) interns and PGY2+ residents spent on average 2.4 and 4.1 times the number of EHR hours on information review (chart, note, and results review) as information entry (note and order entry).Analysis of EHR event log data can enable medical educators and programs to develop more targeted interventions to improve physician-computer-patient interactions, centered on specific EHR actions.