Team is brain: leveraging EHR audit log data for new insights into acute care processes

Author:

Rose Christian1ORCID,Thombley Robert2,Noshad Morteza3,Lu Yun4,Clancy Heather A4,Schlessinger David4,Li Ron C35,Liu Vincent X4,Chen Jonathan H356,Adler-Milstein Julia2

Affiliation:

1. Department of Emergency Medicine, Stanford University School of Medicine , Stanford, California, USA

2. Center for Clinical Informatics and Improvement Research, Department of Medicine, University of California, San Francisco , San Francisco, California, USA

3. Stanford Center for Biomedical Informatics Research, Stanford University , Stanford, California, USA

4. Kaiser Permanente Division of Research , Oakland, California, USA

5. Division of Hospital Medicine, Stanford University School of Medicine , Stanford, California, USA

6. Clinical Excellence Research Center, Stanford University School of Medicine , Stanford, California, USA

Abstract

Abstract Objective To determine whether novel measures of contextual factors from multi-site electronic health record (EHR) audit log data can explain variation in clinical process outcomes. Materials and Methods We selected one widely-used process outcome: emergency department (ED)-based team time to deliver tissue plasminogen activator (tPA) to patients with acute ischemic stroke (AIS). We evaluated Epic audit log data (that tracks EHR user-interactions) for 3052 AIS patients aged 18+ who received tPA after presenting to an ED at three Northern California health systems (Stanford Health Care, UCSF Health, and Kaiser Permanente Northern California). Our primary outcome was door-to-needle time (DNT) and we assessed bivariate and multivariate relationships with six audit log-derived measures of treatment team busyness and prior team experience. Results Prior team experience was consistently associated with shorter DNT; teams with greater prior experience specifically on AIS cases had shorter DNT (minutes) across all sites: (Site 1: −94.73, 95% CI: −129.53 to 59.92; Site 2: −80.93, 95% CI: −130.43 to 31.43; Site 3: −42.95, 95% CI: −62.73 to 23.17). Teams with greater prior experience across all types of cases also had shorter DNT at two sites: (Site 1: −6.96, 95% CI: −14.56 to 0.65; Site 2: −19.16, 95% CI: −36.15 to 2.16; Site 3: −11.07, 95% CI: −17.39 to 4.74). Team busyness was not consistently associated with DNT across study sites. Conclusions EHR audit log data offers a novel, scalable approach to measure key contextual factors relevant to clinical process outcomes across multiple sites. Audit log-based measures of team experience were associated with better process outcomes for AIS care, suggesting opportunities to study underlying mechanisms and improve care through deliberate training, team-building, and scheduling to maximize team experience.

Funder

The Gordon and Betty Moore Foundation

NIH

National Library of Medicine

Stanford Artificial Intelligence in Medicine

Imaging—Human-Centered Artificial Intelligence

Stanford Aging and Ethnogeriatrics

NIA

Google Inc. VXL

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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