Promoting Quality Face-to-Face Communication during Ophthalmology Encounters in the Electronic Health Record Era

OBJECTIVE  To evaluate informatics-enabled quality improvement (QI) strategies for promoting time spent on face-to-face communication between ophthalmologists and patients. METHODS  This prospective study involved deploying QI strategies during implementation of an enterprise-wide vendor electronic health record (EHR) in an outpatient academic ophthalmology department. Strategies included developing single sign-on capabilities, activating mobile- and tablet-based applications, EHR personalization training, creating novel workflows for team-based orders, and promoting problem-based charting to reduce documentation burden. Timing data were collected during 648 outpatient encounters. Outcomes included total time spent by the attending ophthalmologist on the patient, time spent on documentation, time spent on examination, and time spent talking with the patient. Metrics related to documentation efficiency, use of personalization features, use of team-based orders, and note length were also measured from the EHR efficiency portal and compared with averages for ophthalmologists nationwide using the same EHR. RESULTS  Time spent on exclusive face-to-face communication with patients initially decreased with EHR implementation (2.9 to 2.3 minutes, p = 0.005) but returned to the paper baseline by 6 months (2.8 minutes, p = 0.99). Observed participants outperformed national averages of ophthalmologists using the same vendor system on documentation time per appointment, number of customized note templates, number of customized order lists, utilization of team-based orders, note length, and time spent after-hours on EHR use. CONCLUSION  Informatics-enabled QI interventions can promote patient-centeredness and face-to-face communication in high-volume outpatient ophthalmology encounters. By employing an array of interventions, time spent exclusively talking with the patient returned to levels equivalent to paper charts by 6 months after EHR implementation. This was achieved without requiring EHR redesign, use of scribes, or excessive after-hours work. Documentation efficiency can be achieved using interventions promoting personalization and team-based workflows. Given their efficacy in preserving face-to-face physician-patient interactions, these strategies may help alleviate risk of physician burnout.

[1]  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.

[2]  Shannon M. Dean,et al.  Local Investment in Training Drives Electronic Health Record User Satisfaction , 2019, Applied Clinical Informatics.

[3]  Joshua R. Ehrlich,et al.  A Two-Year Longitudinal Assessment of Ophthalmologists’ Perceptions after Implementing an Electronic Health Record System , 2016, Applied Clinical Informatics.

[4]  Brian G. Arndt,et al.  Tethered to the EHR: Primary Care Physician Workload Assessment Using EHR Event Log Data and Time-Motion Observations , 2017, The Annals of Family Medicine.

[5]  John Hsu,et al.  Effects of exam-room computing on clinician-patient communication , 2005, Journal of General Internal Medicine.

[6]  A. Reid,et al.  Electronic Health Record Effects on Work-Life Balance and Burnout Within the I3 Population Collaborative. , 2017, Journal of graduate medical education.

[7]  Michael Ben-Meir,et al.  Emergency consultants value medical scribes and most prefer to work with them, a few would rather not: a qualitative Australian study , 2017, Emergency Medicine Journal.

[8]  J. Ross Making Electronic Health Records Work Better for Patient Care. , 2016, JAMA internal medicine.

[9]  Chen-Tan Lin,et al.  Optimization Sprints: Improving Clinician Satisfaction and Teamwork by Rapidly Reducing Electronic Health Record Burden , 2019, Mayo Clinic proceedings.

[10]  David B. Kaber,et al.  Usability and Safety in Electronic Medical Records Interface Design , 2015, Hum. Factors.

[11]  Michelle R. Hribar,et al.  Time requirements of paper-based clinical workflows and after-hours documentation in a multi-specialty academic ophthalmology practice. , 2019, American journal of ophthalmology.

[12]  Working with an Electronic Medical Record in Ambulatory Care: A Study of Patient Perceptions of Intrusiveness , 2017, Perspectives in health information management.

[13]  Richard W. Grant,et al.  Association of Medical Scribes in Primary Care With Physician Workflow and Patient Experience , 2018, JAMA internal medicine.

[14]  Robyn Tamblyn,et al.  Review Paper: The Impact of Electronic Health Records on Time Efficiency of Physicians and Nurses: A Systematic Review , 2005, J. Am. Medical Informatics Assoc..

[15]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[16]  Assaad Sayah,et al.  Impact of Medical Scribes in Primary Care on Productivity, Face-to-Face Time, and Patient Comfort , 2018, The Journal of the American Board of Family Medicine.

[17]  Michelle R. Hribar,et al.  Secondary use of electronic health record data for clinical workflow analysis , 2018, J. Am. Medical Informatics Assoc..

[18]  Michelle R. Hribar,et al.  Time Requirements for Electronic Health Record Use in an Academic Ophthalmology Center , 2017, JAMA ophthalmology.

[19]  J. Como,et al.  Trauma Surgeons Save Lives—Scribes Save Trauma Surgeons! , 2018, The American surgeon.

[20]  A. Shachak,et al.  The impact of electronic medical records on patient-doctor communication during consultation: a narrative literature review. , 2009, Journal of evaluation in clinical practice.

[21]  Michael V. Boland,et al.  The impact of an electronic health record transition on a glaucoma subspecialty practice. , 2013, Ophthalmology.

[22]  I. Katz,et al.  Beyond Burnout - Redesigning Care to Restore Meaning and Sanity for Physicians. , 2018, The New England journal of medicine.

[23]  Daniel C. Tu,et al.  Evaluation of electronic health record implementation in ophthalmology at an academic medical center (an American Ophthalmological Society thesis). , 2013, Transactions of the American Ophthalmological Society.

[24]  Risha Gidwani,et al.  Impact of Scribes on Physician Satisfaction, Patient Satisfaction, and Charting Efficiency: A Randomized Controlled Trial , 2017, The Annals of Family Medicine.

[25]  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.

[26]  D. Bates,et al.  Physician Burnout in the Electronic Health Record Era: Are We Ignoring the Real Cause? , 2018, Annals of Internal Medicine.

[27]  Jannah Baker,et al.  The impact of electronic health record systems on clinical documentation times: A systematic review. , 2018, Health policy.

[28]  Wei Wang,et al.  Electronic Health Record Logs Indicate That Physicians Split Time Evenly Between Seeing Patients And Desktop Medicine. , 2017, Health affairs.

[29]  Vishnu Mohan,et al.  Use of Simulation Based on an Electronic Health Records Environment to Evaluate the Structure and Accuracy of Notes Generated by Medical Scribes: Proof-of-Concept Study , 2017, JMIR medical informatics.

[30]  Alissa L. Russ,et al.  You and me and the computer makes three: variations in exam room use of the electronic health record. , 2014, Journal of the American Medical Informatics Association : JAMIA.

[31]  Uta S Guo,et al.  Electronic health record innovations: Helping physicians – One less click at a time , 2017, Health information management : journal of the Health Information Management Association of Australia.

[32]  Michael V. Boland,et al.  Adoption of Electronic Health Records and Perceptions of Financial and Clinical Outcomes Among Ophthalmologists in the United States , 2017, JAMA ophthalmology.

[33]  A Turchin,et al.  Effect of EHR User Interface Changes on Internal Prescription Discrepancies , 2014, Applied Clinical Informatics.

[34]  Saif S. Khairat,et al.  Usability Testing of Two Ambulatory EHR Navigators , 2016, Applied Clinical Informatics.

[35]  Jenna L. Marquard,et al.  Usability Evaluation of an EHR's Clinical Notes Interface from the Perspective of Attending and Resident Physicians: An Exploratory Study , 2017, MedInfo.

[36]  Designing An Individualized EHR Learning Plan For Providers , 2017, Appl. Clin. Inform..

[37]  C. Shultz,et al.  The Use of Medical Scribes in Health Care Settings: A Systematic Review and Future Directions , 2015, The Journal of the American Board of Family Medicine.

[38]  Corbin Bosse,et al.  Improving EHR Usability Using LEAN Methodology , 2016, Nursing Informatics.

[39]  Roger Collier,et al.  Rethinking EHR interfaces to reduce click fatigue and physician burnout , 2018, Canadian Medical Association Journal.