Tethered to the EHR: Primary Care Physician Workload Assessment Using EHR Event Log Data and Time-Motion Observations.

PURPOSE: Primary care physicians spend nearly 2 hours on electronic health record (EHR) tasks per hour of direct patient care. Demand for non-face-to-face care, such as communication through a patient portal and administrative tasks, is increasing and contributing to burnout. The goal of this study was to assess time allocated by primary care physicians within the EHR as indicated by EHR user-event log data, both during clinic hours (defined as 8:00 am to 6:00 pm Monday through Friday) and outside clinic hours. METHODS: We conducted a retrospective cohort study of 142 family medicine physicians in a single system in southern Wisconsin. All Epic (Epic Systems Corporation) EHR interactions were captured from "event logging" records over a 3-year period for both direct patient care and non-face-to-face activities, and were validated by direct observation. EHR events were assigned to 1 of 15 EHR task categories and allocated to either during or after clinic hours. RESULTS: Clinicians spent 355 minutes (5.9 hours) of an 11.4-hour workday in the EHR per weekday per 1.0 clinical full-time equivalent: 269 minutes (4.5 hours) during clinic hours and 86 minutes (1.4 hours) after clinic hours. Clerical and administrative tasks including documentation, order entry, billing and coding, and system security accounted for nearly one-half of the total EHR time (157 minutes, 44.2%). Inbox management accounted for another 85 minutes (23.7%). CONCLUSIONS: Primary care physicians spend more than one-half of their workday, nearly 6 hours, interacting with the EHR during and after clinic hours. EHR event logs can identify areas of EHR-related work that could be delegated, thus reducing workload, improving professional satisfaction, and decreasing burnout. Direct time-motion observations validated EHR-event log data as a reliable source of information regarding clinician time allocation.

Interventions in the Home and Community for Medically Complex Children: A Systematic Review.

CONTEXT: Most care occurs in home and community settings; however, the best approaches to improve CMC health are poorly understood. OBJECTIVE: We sought to summarize evidence from interventions in the home and community to improve health for children with medical complexity (CMC) using comprehensive conceptions of CMC health. DATA SOURCES: PubMed, CINAHL, Scopus, and Cochrane databases. STUDY SELECTION: Included studies evaluated interventions for CMC caregivers in home or community settings and evaluated at least 1 outcome in 10 domains of CMC health. DATA EXTRACTION: Data were extracted on participant characteristics, intervention activities, and outcomes. Interventions were categorized thematically into strategies, with results summarized by effects on outcomes within each health domain. RESULTS: The 25 included interventions used 5 strategies: intensive caregiver education (n = 18), support groups (n = 3), crisis simulation (n = 2), mobile health tracking (n = 1), and general education (n = 1). Substantial variation existed in the extent to which any outcome domain was studied (range 0-22 studies per domain). Interventions addressing 4 domains showed consistent improvement: support group and mobile health tracking improved long-term child and caregiver self-sufficiency; mobile health tracking improved family-centered care; intensive caregiver education and support groups improved community system supports. Three domains (basic needs, inclusive education, patient-centered medical home) were not studied. LIMITATIONS: Risk of bias was moderate due primarily to limited controlled experimental designs and heterogeneous population and outcome definitions. CONCLUSIONS: Interventions that improve CMC health exist; however, current studies focus on limited segments of the 10 domains framework. Consensus outcome measures for CMC health are needed.