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.

[1]  Eve Dexter,et al.  Patient–Provider Communication: Does Electronic Messaging Reduce Incoming Telephone Calls? , 2016, The Journal of the American Board of Family Medicine.

[2]  Tait D. Shanafelt,et al.  Addressing physician burnout - The way forward , 2017 .

[3]  Larissa I. Zakletskaia,et al.  Effects of Primary Care Team Social Networks on Quality of Care and Costs for Patients With Cardiovascular Disease , 2015, The Annals of Family Medicine.

[4]  Neil M. Paige,et al.  Electronic Patient Portals: Evidence on Health Outcomes, Satisfaction, Efficiency, and Attitudes , 2013, Annals of Internal Medicine.

[5]  Christine A. Sinsky,et al.  From Triple to Quadruple Aim: Care of the Patient Requires Care of the Provider , 2014, The Annals of Family Medicine.

[6]  Clement J. McDonald,et al.  Electronic medical records and preserving primary care physicians' time: comment on "electronic health record-based messages to primary care providers". , 2012, Archives of Internal Medicine.

[7]  M. Coleman,et al.  Factors Affecting Physician Satisfaction and Wisconsin Medical Society Strategies to Drive Change. , 2015, WMJ : official publication of the State Medical Society of Wisconsin.

[8]  Christine A. Sinsky,et al.  Relationship Between Clerical Burden and Characteristics of the Electronic Environment With Physician Burnout and Professional Satisfaction. , 2016, Mayo Clinic proceedings.

[9]  W. Baine,et al.  The Agency for Healthcare Research and Quality , 2006, Italian Journal of Public Health.

[10]  Ben-Tzion Karsh,et al.  The myth of standardized workflow in primary care , 2016, J. Am. Medical Informatics Assoc..

[11]  Wei Wu,et al.  The Effect of Computerized Physician Order Entry with Clinical Decision Support on the Rates of Adverse Drug Events: A Systematic Review , 2008, Journal of General Internal Medicine.

[12]  Dean F Sittig,et al.  Notifications received by primary care practitioners in electronic health records: a taxonomy and time analysis. , 2012, The American journal of medicine.

[13]  E. Hess,et al.  Electronic medical records and physician stress in primary care: results from the MEMO Study. , 2014, Journal of the American Medical Informatics Association : JAMIA.

[14]  Christine A. Sinsky,et al.  Allocation of Physician Time in Ambulatory Practice: A Time and Motion Study in 4 Specialties , 2016, Annals of Internal Medicine.

[15]  J. Sloan,et al.  Burnout and satisfaction with work-life balance among US physicians relative to the general US population. , 2012, Archives of internal medicine.

[16]  Thomas Bodenheimer,et al.  In Search of Joy in Practice: A Report of 23 High-Functioning Primary Care Practices , 2013, The Annals of Family Medicine.

[17]  Mark W Friedberg,et al.  Factors Affecting Physician Professional Satisfaction and Their Implications for Patient Care, Health Systems, and Health Policy. , 2013, Rand health quarterly.

[18]  E. Montague,et al.  More screen time, less face time - implications for EHR design. , 2014, Journal of evaluation in clinical practice.

[19]  Fiona M. Callaghan,et al.  Use of internist's free time by ambulatory care Electronic Medical Record systems. , 2014, JAMA internal medicine.

[20]  Christine A. Sinsky,et al.  Changes in Burnout and Satisfaction With Work-Life Balance in Physicians and the General US Working Population Between 2011 and 2014. , 2015, Mayo Clinic proceedings.

[21]  Elbert S. Huang,et al.  The Increasing Number of Clinical Items Addressed During the Time of Adult Primary Care Visits , 2008, Journal of General Internal Medicine.

[22]  Enid N. H. Montague,et al.  Dynamic modeling of patient and physician eye gaze to understand the effects of electronic health records on doctor-patient communication and attention , 2014, Int. J. Medical Informatics.

[23]  R. Levine,et al.  10 Bold Steps to Prevent Burnout in General Internal Medicine , 2013, Journal of General Internal Medicine.