Electronic Health Records Work Research Articles

Accounting for taste: preferences mediate the relationship between documentation time and ambulatory physician burnout.

Physician burnout in the US has reached crisis levels, with one source identified as extensive after-hours documentation work in the electronic health record (EHR). Evidence has illustrated that physician preferences for after-hours work vary, such that after-hours work may not be universally burdensome. Our objectives were to analyze variation in preferences for after-hours documentation and assess if preferences mediate the relationship between after-hours documentation time and burnout. We combined EHR active use data capturing physicians' hourly documentation work with survey data capturing documentation preferences and burnout. Our sample included 318 ambulatory physicians at MedStar Health. We conducted a mediation analysis to estimate if and how preferences mediated the relationship between after-hours documentation time and burnout. Our primary outcome was physician-reported burnout. We measured preferences for after-hours documentation work via a novel survey instrument (Burden Scenarios Assessment). We measured after-hours documentation time in the EHR as the total active time respondents spent documenting between 7 pm and 3 am. Physician preferences varied, with completing clinical documentation after clinic hours while at home the scenario rated most burdensome (52.8% of physicians), followed by dealing with prior authorization (49.5% of physicians). In mediation analyses, preferences partially mediated the relationship between after-hours documentation time and burnout. Physician preferences regarding EHR-based work play an important role in the relationship between after-hours documentation time and burnout. Studies of EHR work and burnout should incorporate preferences, and operational leaders should assess preferences to better target interventions aimed at EHR-based contributors to burnout.

Frontiers in Operations: Does Physician’s Choice of When to Perform EHR Tasks Influence Total EHR Workload?

Problem definition: Physicians spend more than five hours a day working on Electronic Health Record (EHR) systems and more than an hour doing EHR tasks after the end of the workday. Numerous studies have identified the detrimental effects of excessive EHR use and after-hours work, including physician burnout, physician attrition, and appointment delays. However, EHR time is not purely an exogenous factor because it depends on physician usage behavior that could have important operational consequences. Interestingly, prior literature has not considered this topic rigorously. In this paper, we investigate how physicians’ workflow decisions on when to perform EHR tasks affect: (1) total time on EHR and (2) time spent after work. Methodology/results: Our data comprise around 150,000 appointments from 74 physicians from a large Academic Medical Center Family Medicine unit. Our data set contains detailed, process-level time stamps of appointment progression and EHR use. We find that the effect of working on EHR systems depends on whether the work is done before or after an appointment. Pre-appointment EHR work reduces total EHR workload and after-work hours spent on EHR. Post-appointment EHR work reduces after-work hours on EHR but increases total EHR time. We find that increasing idle time between appointments can encourage both pre- and post-appointment EHR work. Managerial implications: Our results not only help us understand the timing and structure of work on secondary tasks more generally but also will help healthcare administrators create EHR workflows and appointment schedules to reduce physician burnout associated with excessive EHR use. History: This paper has been accepted in the Manufacturing & Service Operations Management Frontiers in Operations Initiative. Funding: The research conducted for this paper received partial funding from the Center of Business for Health at the Kenan-Flagler Business School, University of North Carolina at Chapel Hill. Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2023.0028 .

Making the EHR Work for You-Modifications of an Electronic Health Record System to Improve Tracking and Management of Patients Receiving Outpatient Parenteral Antibiotic Therapy.

Managing the complex needs of outpatient parenteral antibiotic therapy (OPAT) patients is challenging and time-consuming. We describe development of multimodal interventions to facilitate patient management within an Epic® (Epic Systems Corporation)-based electronic health record (EHR) platform. During 2016-2018, a multidisciplinary team created several modifications in our local EHR to improve gaps in OPAT care, including shared note templates, shared patient lists, automatically triggered notifications, and comprehensive order sets. A SmartForm was created, allowing collection of discrete, self-contained extractable data about each OPAT episode. We reviewed OPAT episodes from January 2019 through December 2022. The multimodal EHR interventions culminated in the creation of a patient report, the "OPAT Monitoring View" collating OPAT-relevant data from multiple sections of the chart onto 1 screen display. This view is accessible both within the patient chart and from multiple list-based, in-basket, and snapshot-anchored preview functions in the EHR. Implementation of the EHR bundle facilitated management of 3402 OPAT episodes from 2019 to 2022 (850 episodes/year), about 50% higher than anticipated based on 540 OPAT courses in 2016. The OPAT EHR bundle allowed efficient (<3 hours) multidisciplinary rounds for management of 130-145 patients each week, streamlining of care transitions, and increasing staff satisfaction. Bundled multimodal modifications to the local EHR increased patient care efficiency and staff satisfaction and facilitated data collection to support a large OPAT program. These modifications apply commonly available EHR functionalities to OPAT care and could be adapted to other settings with different EHR platforms.

Association of physician burnout with perceived EHR work stress and potentially actionable factors.

Physicians of all specialties experienced unprecedented stressors during the COVID-19 pandemic, exacerbating preexisting burnout. We examine burnout's association with perceived and actionable electronic health record (EHR) workload factors and personal, professional, and organizational characteristics with the goal of identifying levers that can be targeted to address burnout. Survey of physicians of all specialties in an academic health center, using a standard measure of burnout, self-reported EHR work stress, and EHR-based work assessed by the number of messages regarding prescription reauthorization and use of a staff pool to triage messages. Descriptive and multivariable regression analyses examined the relationship among burnout, perceived EHR work stress, and actionable EHR work factors. Of 1038 eligible physicians, 627 responded (60% response rate), 49.8% reported burnout symptoms. Logistic regression analysis suggests that higher odds of burnout are associated with physicians feeling higher level of EHR stress (odds ratio [OR], 1.15; 95% confidence interval [CI], 1.07-1.25), having more prescription reauthorization messages (OR, 1.23; 95% CI, 1.04-1.47), not feeling valued (OR, 3.38; 95% CI, 1.69-7.22) or aligned in values with clinic leaders (OR, 2.81; 95% CI, 1.87-4.27), in medical practice for ≤15 years (OR, 2.57; 95% CI, 1.63-4.12), and sleeping for <6h/night (OR, 1.73; 95% CI, 1.12-2.67). Perceived EHR stress and prescription reauthorization messages are significantly associated with burnout, as are non-EHR factors such as not feeling valued or aligned in values with clinic leaders. Younger physicians need more support. A multipronged approach targeting actionable levers and supporting young physicians is needed to implement sustainable improvements in physician well-being.

Refining Vendor-Defined Measures to Accurately Quantify EHR Workload Outside Time Scheduled With Patients.

Accurately quantifying clinician time spent on electronic health record (EHR) activities outside the time scheduled with patients is critical for understanding occupational stress associated with ambulatory clinic environments. We make 3 recommendations regarding EHR workload measures that are intended to capture time working in the EHR outside time scheduled with patients, formally defined as work outside of work (WOW): (1) separate all time working in the EHR outside of time scheduled with patients from time working in the EHR during time scheduled with patients, (2) do not exclude any time before or after scheduled time with patients, and (3) encourage the EHR vendor and research communities to develop and standardize validated, vendor-agnostic methods for measuring active EHR use. Attributing all EHR work outside time scheduled with patients to WOW, regardless of when it occurs, will produce an objective and standardized measure better suited for use in efforts to reduce burnout, set policy, and facilitate research.

Female Endocrinologists May Be Disproportionately Burdened by Electronic Health Record Messaging

Since the institution of the electronic health record (EHR), there has been a significant change in healthcare delivery and the workflow of a physician; however, until recently, there was not recognition of this significant increase in workload that the EHR places on physicians. The EHR shifts many tasks to physicians and gives patients direct access to their physician through patient initiated messaging resulting in increased time spent facing the computer and a larger amount of EHR work that is completed outside of working hours 1 Muhiyaddin R. Elfadl A. Mohamed E. et al. Electronic Health Records and Physician Burnout: A Scoping Review. Stud Health Technol Inform. 2022; 289: 481-484 PubMed Google Scholar . Additional hours spent on the computer has increasingly caused physician dissatisfaction. 1 Muhiyaddin R. Elfadl A. Mohamed E. et al. Electronic Health Records and Physician Burnout: A Scoping Review. Stud Health Technol Inform. 2022; 289: 481-484 PubMed Google Scholar This combined with other increased administrative burdens such as prior authorizations have negatively impacted physician work satisfaction. 2 Sundarum P. Bhatt V. Feustel P. Mian B. Burden of Prior Authorization Requirements on Urology Practice and Patients. Urology. 2022; 169: 76-83 Abstract Full Text Full Text PDF PubMed Scopus (0) Google Scholar

A qualitative study of the dark and bright sides of physicians' electronic health record work outside work hours.

The introduction of electronic health records (EHRs) has contributed considerably to EHR work outside work (WOW) hours for physicians. Prior research has identified the pressures associated with stress resulting from EHR WOW, yet developing a nuanced understanding of how physicians appraise and respond to this stress, and the resulting impacts, remains absent from the literature. Grounded in the technostress model, this study takes a qualitative approach to explore both the pressures and opportunities associated with EHR WOW. Thematic analysis of data from semistructured interviews was utilized to examine the pressures and opportunities associated with EHR WOW among primary care pediatricians (n = 15) affiliated with a large Midwestern pediatric health system. The physicians in this study regularly spent time working in the EHR outside work hours. They felt the EHR contributed to their documentation burden, which ultimately increased their EHR WOW, and reported a sense of burden from ubiquitous EHR availability. Conversely, they appreciated the flexibility the EHR provided in terms of work-life balance. Suggestions for improvement under the direct purview of practice management included enhanced EHR usability, improvements in workflow during work hours to free up time to document, and more training on both EHR documentation strategies and ongoing software upgrades. Physicians perceive that the EHR exerts certain pressures while affording new opportunities and conveniences. This study provides evidence of both the pressures and opportunities of EHR WOW and their effect on physician well-being. Specific opportunities are identified for health administrators to enable physicians to better manage EHR WOW.

Electronic Health Record Work Demands for Gastroenterology and Hepatology Providers: A Prospective Use Analysis and Survey Study.

There is a paucity of research on the use of the electronic health record (EHR) by gastroenterology and hepatology providers and its effect on work-life balance. Our aim was to study the after-hour EHR work completed among providers within a multispecialty academic practice. Time spent completing EHR tasks during evening hours (7p-7a) and days off was prospectively recorded for 35 providers over six consecutive months at a single center. Type and time of EHR tasks completed were compared based on subspecialty, academic degree, academic track category, identified gender, and number of weekly assigned clinical days worked. Prior to the data collection, providers filled out a survey regarding EHR use, work hours, and work-life balance. All providers used EHR during evening hours and during days off. The total mean after-hours time spent completing EHR tasks was 18.4m (± 13.0) per day and 45.0m (± 25.8) during days off. There was significant variation in the daily mean after-hours time spent completing EHR tasks among subspecialties, range 45.3m (± 27.1) (advanced endoscopy)-28.7m (± 22.7) (hepatology), and among providers who work clinically > 7.5days per week versus those who do not, 42.1m (± 25.7) vs 30.0m (± 14.0). The most common after-hours EHR task was note completion. 83% providers reported being unable to complete EHR tasks during allotted workday time and 87% report that EHR tasks interfered with family life; 74% with social life. Gastroenterology and hepatology providers spend a significant amount of after-hour time completing EHR tasks which is perceived to interfere with family/social life.

Characterization of Electronic Health Record Use Outside Scheduled Clinic Hours Among Primary Care Pediatricians: Retrospective Descriptive Task Analysis of Electronic Health Record Access Log Data.

BackgroundMany of the benefits of electronic health records (EHRs) have not been achieved at expected levels because of a variety of unintended negative consequences such as documentation burden. Previous studies have characterized EHR use during and outside work hours, with many reporting that physicians spend considerable time on documentation-related tasks. These studies characterized EHR use during and outside work hours using clock time versus actual physician clinic schedules to define the outside work time.ObjectiveThis study aimed to characterize EHR work outside scheduled clinic hours among primary care pediatricians using a retrospective descriptive task analysis of EHR access log data and actual physician clinic schedules to define work time.MethodsWe conducted a retrospective, exploratory, descriptive task analysis of EHR access log data from primary care pediatricians in September 2019 at a large Midwestern pediatric health center to quantify and identify actions completed outside scheduled clinic hours. Mixed-effects statistical modeling was used to investigate the effects of age, sex, clinical full-time equivalent status, and EHR work during scheduled clinic hours on the use of EHRs outside scheduled clinic hours.ResultsPrimary care pediatricians (n=56) in this study generated 1,523,872 access log data points (across 1069 physician workdays) and spent an average of 4.4 (SD 2.0) hours and 0.8 (SD 0.8) hours per physician per workday engaged in EHRs during and outside scheduled clinic hours, respectively. Approximately three-quarters of the time working in EHR during or outside scheduled clinic hours was spent reviewing data and reports. Mixed-effects regression revealed no associations of age, sex, or clinical full-time equivalent status with EHR use during or outside scheduled clinic hours.ConclusionsFor every hour primary care pediatricians spent engaged with the EHR during scheduled clinic hours, they spent approximately 10 minutes interacting with the EHR outside scheduled clinic hours. Most of their time (during and outside scheduled clinic hours) was spent reviewing data, records, and other information in EHR.

Association between state-level malpractice environment and clinician electronic health record (EHR) time.

Clinicians spend significant time working in the electronic health record (EHR). The US is an outlier in EHR time, suggesting that EHR-related work may be driven in part by the legal environment and threat of malpractice. To assess this, we evaluate the association between state-level malpractice climate and clinician time spent in the EHR. We use EHR metadata from 351 ambulatory care health systems in the United States using Epic from January-August 2019 combined with state-level data on malpractice incidence and payouts. We used descriptive statistics to measure variation in clinician EHR time, including total EHR time, documentation time per day, and after-hours EHR time per day. Multi-variable regression evaluated the association between clinicians in high malpractice states and EHR use. We found no association between location in a state in the top-quartile of malpractice payouts and time spent in the EHR per day, time spent in the EHR outside of scheduled hours, or time spent documenting per day, except for a subgroup of the clinicians in the highest malpractice specialties, where there was a small increase in EHR time per day (B = 6.08 min, P < 0.001) and time spent documenting notes (B = 2.77 min, P < 0.001). State-level differences in malpractice incidence are unlikely to be a significant driver of EHR work for most clinicians. Policymakers seeking to address EHR documentation burden should examine burden driven by other socio-technical demands on clinician time, such as billing or quality measurement.

Assessing the impact of the COVID-19 pandemic on clinician ambulatory electronic health record use.

ObjectiveThe COVID-19 pandemic changed clinician electronic health record (EHR) work in a multitude of ways. To evaluate how, we measure ambulatory clinician EHR use in the United States throughout the COVID-19 pandemic.Materials and MethodsWe use EHR meta-data from ambulatory care clinicians in 366 health systems using the Epic EHR system in the United States from December 2019 to December 2020. We used descriptive statistics for clinician EHR use including active-use time across clinical activities, time after-hours, and messages received. Multivariable regression to evaluate total and after-hours EHR work adjusting for daily volume and organizational characteristics, and to evaluate the association between messages and EHR time.ResultsClinician time spent in the EHR per day dropped at the onset of the pandemic but had recovered to higher than prepandemic levels by July 2020. Time spent actively working in the EHR after-hours showed similar trends. These differences persisted in multivariable models. In-Basket messages received increased compared with prepandemic levels, with the largest increase coming from messages from patients, which increased to 157% of the prepandemic average. Each additional patient message was associated with a 2.32-min increase in EHR time per day (P < .001).DiscussionClinicians spent more total and after-hours time in the EHR in the latter half of 2020 compared with the prepandemic period. This was partially driven by increased time in Clinical Review and In-Basket messaging.ConclusionsReimbursement models and workflows for the post-COVID era should account for these demands on clinician time that occur outside the traditional visit.

Integrated Digital Health System Tools to Support Decision Making and Treatment Preparation in CKD: The PREPARE NOW Study

Rationale & ObjectiveDigital health system tools to support shared decision making and preparation for kidney replacement treatments for patients with chronic kidney disease (CKD) are needed.Study DesignDescriptive study of the implementation of digital infrastructure to support a patient-centered health system intervention.Setting & Participants4 CKD clinics within a large integrated health system.ExposureWe developed an integrated suite of digital engagement tools to support patients’ shared decision making and preparation for kidney failure treatments. Tools included an automated CKD patient registry and risk prediction algorithm within the electronic health record (EHR) to identify and prioritize patients in need of nurse case management to facilitate shared decision making and preparation for kidney replacement treatments, an electronic patient-facing values clarification tool, a tracking application to document patients’ preparation for treatments, and an EHR work flow to broadcast patients’ treatment preferences to all health care providers.OutcomesUptake and acceptability.Analytic ApproachMixed methods.ResultsFrom July 1, 2017, through June 30, 2018, the CKD registry identified 1,032 patients in 4 nephrology clinics, of whom 243 (24%) were identified as high risk for progressing to kidney failure within 2 years. Kidney Transitions Specialists enrolled 117 (48%) high-risk patients by the end of year 1. The values tool was completed by 30/33 (91%) patients who attended kidney modality education. Nurse case managers used the tracking application for 100% of patients to document 287 planning steps for kidney replacement therapy. Most (87%) high-risk patients had their preferred kidney replacement modality documented and displayed in the EHR. Nurse case managers reported that the tools facilitated their identification of patients needing support and their navigation activities.LimitationsSingle institution, short duration.ConclusionsDigital health system tools facilitated rapid identification of patients needing shared and informed decision making and their preparation for kidney replacement treatments.FundingThis work was supported through a Patient-Centered Outcomes Research Institute (PCORI) Project Program Award (IHS-1409-20967).Trial registrationClinicalTrials.gov NCT02722382.

Evaluation of Attention Switching and Duration of Electronic Inbox Work Among Primary Care Physicians

Primary care physicians (PCPs) report multitasking during workdays while processing electronic inbox messages, but scant systematic information exists on attention switching and its correlates in the health care setting. To describe PCPs' frequency of attention switching associated with electronic inbox work, identify potentially modifiable factors associated with attention switching and inbox work duration, and compare the relative association of attention switching and other factors with inbox work duration. This cross-sectional study of the work of 1275 PCPs in an integrated group serving 4.5 million patients used electronic health record (EHR) access logs from March 1 to 31, 2018, to evaluate PCPs' frequency of attention switching. Statistical analysis was performed from October 15, 2018, to August 28, 2020. Attention switching was defined as switching between the electronic inbox, other EHR work, and non-EHR periods. Inbox work duration included minutes spent on electronic inbox message views and related EHR tasks. Multivariable models controlled for the exposures. The 1275 PCPs studied (721 women [56.5%]; mean [SD] age, 45.9 [8.5] years) had a mean (SD) of 9.0 (7.6) years of experience with the medical group and received a mean (SD) of 332.6 (148.3) (interquartile range, 252-418) new inbox messages weekly. On workdays, PCPs made a mean (SD) of 79.4 (21.8) attention switches associated with inbox work and did a mean (SD) 64.2 (18.7) minutes of inbox work over the course of 24 hours on workdays. In the model for attention switching, each additional patient secure message beyond the reference value was associated with 0.289 (95% CI, 0.217-0.362) additional switches, each additional results message was associated with 0.203 (95% CI, 0.127-0.278) additional switches, each additional request message was associated with 0.190 (95% CI, 0.124-0.257) additional switches, and each additional administrative message was associated with 0.262 (95% CI, 0.166-0.358) additional switches. Having a panel (a list of patients assigned to a primary care team) with more elderly patients (0.144 switches per percentage increase [95% CI, 0.009-0.278]) and higher inbox work duration (0.468 switches per additional minute of inbox work [95% CI, 0.411-0.524]) were also associated with higher attention switching involving the inbox. In the model for inbox work duration, each additional patient secure message beyond the reference value was associated with 0.151 (95% CI, 0.085-0.217) additional minutes, each additional results message was associated with 0.338 (95% CI, 0.272-0.404) additional minutes, each additional request message was associated with 0.101 (95% CI, 0.041-0.161) additional minutes, and each additional administrative message was associated with 0.179 (95% CI, 0.093-0.265) additional minutes. A higher percentage of the panel's patients initiating messages (0.386 minutes per percentage increase [95% CI, 0.026-0.745]) and attention switches (0.373 minutes per switch [95% CI, 0.328-0.419]) were also associated with higher inbox work duration. In addition, working at a medical center where all PCPs had high inbox work duration was independently associated with high or low inbox work duration. This study suggests that PCPs make frequent attention switches during workdays while processing electronic inbox messages. Message quantity was associated with both attention switching and inbox work duration. Physician and patient panel characteristics had less association with attention switching and inbox work duration. Assisting PCPs with message quantity might help modulate both attention switching and inbox work duration.

Electronic Health Record-Related Stress Among Nurses: Determinants and Solutions.

Background: Documentation and navigation through electronic health records (EHRs) is an essential, but stressful, task. We present the magnitude, determinants of such events, and solutions proposed by nurses to address EHR-related stress (EHR-S) at a tertiary eye hospital in Saudi Arabia. Methods: Nurses of an eye hospital were surveyed in 2019 about EHR-S. A Likert scale was used to assess the responses of 10 components of EHR-related work. The total score was graded as follows: minimum (<-10), mild (<0 to -10), moderate (1-10), and severe (>11). The score was correlated with determinants. Solutions suggested by nurses to reduce stress were reviewed. Results: This survey covered 212 nurses. Of them, 106 (50%; 95% confidence interval: 43.3-56.7) reported EHR-S. The median EHR-S score was -3.0 (interquartile range: -9.0; +8.0). Thirty-five (16%) nurses reported severe EHR-S. Senior nurses (M-W, p < 0.02) and those working in emergency and recovery units (M-W, p < 0.01) had statistically higher EHR-S. The main stressors were incomplete EHR work by other departments affecting nursing care (70.8%), difficulty in correction after entering the data (60.4%), and difficulty in data retrieval (60.4%). The main solutions to reduce EHR-S were to reduce the frequency of changes to configuration of the EHR (58%), more training (54.2%), and appreciation of good work (52.8%). Conclusions: EHR-S is experienced by half of the nurses working at an eye care hospital. Implementation of solutions such as better training and fewer changes to the EHR system could reduce stress levels of nurses.

Frontline Perspectives on Physician Burnout and Strategies to Improve Well-Being: Interviews with Physicians and Health System Leaders.

Nationally over 50% of physicians report symptoms of burnout. To understand the perspectives of health system leaders and frontline physicians on contributors to physician burnout and strategies to improve well-being. We conducted in-depth interviews with health system leaders and frontline physicians at a large, predominantly fee-for-service, multispecialty group practice with approximately 1300 physicians. The 17 participants included 15 physicians, (12 Internal Medicine and Family Medicine physicians and 3 from other specialties), 11 individuals in leadership roles, and 11 women. Interviews included a review of factors associated with burnout at the organization, asking participants which factors they believed contributed to burnout, questions about experiences of burnout, and what specific changes would improve well-being. All 17 participants agreed that organizational factors were key contributors to burnout, while only 9 mentioned the salience of individual factors: "It does not matter how resilient or positive you are, the work environment, especially in primary care will eventually be a problem." An increasing workload associated with the electronic health record (EHR) and a culture focused on productivity were cited as contributing to burnout, especially among physicians in Internal Medicine and Family Medicine (primary care) departments. Physicians in primary care, women, and leaders described multiple barriers to well-being. Participants described responding to increased workloads by reducing clinical work hours. Participants suggested reducing and compensating EHR work, expanding care teams/support staff, reducing use of metrics, providing more support to leaders, changing the business model, and increasing positivity and collegiality, as essential to improving well-being. Interviews reveal a variety of interacting factors contributing to physician burnout. Reducing clinical work hours has become a coping strategy. Changes recommended to improve physician well-being include increasing support staff, reducing EHR workload, changing revenue generation and compensation approaches, and shifting organizational culture to place more value on physician wellness.

Physicians' Well-Being Linked To In-Basket Messages Generated By Algorithms In Electronic Health Records.

Despite concerns about physicians' workload associated with electronic health records (EHRs), little attention has been paid to the relationship between physicians' well-being and the in-basket messages physicians receive-specifically, their volume and sources. Analyses of EHR work performed by physicians in a multispecialty practice found that in-basket messages generated by the EHR system accounted for almost half (114) of the 243 weekly in-basket messages received per physician, on average-far exceeding the numbers received from their colleagues (53) and patients (30). In a survey, 36percent of the physicians reported burnout symptoms, and 29percent intended to reduce their clinical work time in the upcoming year. Receiving more than the average number of system-generated in-basket messages was associated with 40percent higher probability of burnout and 38percent higher probability of intending to reduce clinical work time. Physicians' perceptions of a positive work environment were associated with lower odds of burnout and intention to reduce clinical work time and with greater satisfaction with life. Female physicians had a higher risk of burnout and lower satisfaction with life, compared to males. Meaningful redesign of EHR in-basket workflow and a wellness-enhancing work environment are necessary to effectively improve physicians' well-being.

Electronic health record (EHR) training program identifies a new tool to quantify the EHR time burden and improves providers' perceived control over their workload in the EHR.

ObjectiveTo understand if providers who had additional electronic health record (EHR) training improved their satisfaction, decreased personal EHR-use time, and decreased turnaround time on tasks.Materials and MethodsThis pre-post study with no controls evaluated the impact of a supplemental EHR training program on a group of academic and community practice clinicians that previously had go-live group EHR training and 20 months experience using this EHR on self-reported data, calculated EHR time, and vendor-reported metrics.ResultsProviders self-reported significant improvements in their knowledge of efficiency tools in the EHR after training and doubled (significant) their preference list entries (mean pre = 38.1 [65.88], post = 63.5 [90.47], P < .01). Of the 7 EHR satisfaction variables, only 1 self-reported variable significantly improved after training: Control over my workload in the EHR (mean pre = 2.7 [0.96], post = 3.0 [1.04], P < .01). There was no significant decrease in their calculated EHR usage outside of clinic (mean pre = 0.39 [0.77] to post = 0.37 [0.48], P = .73). No significant difference was seen in turnaround time for patient calls (mean pre = 2.3 [2.06] days, post = 1.9 [1.76] days, P = .08) and results (mean before = 4.0 [2.79] days, after = 3.2 [2.33] days, P = .03).DiscussionMultiple sources of data provide a holistic view of the provider experience in the EHR. This study suggests that individualized EHR training can improve the knowledge of EHR tools and satisfaction with their perceived control of EHR workload, however this did not translate into less Clinician Logged-In Outside Clinic (CLOC) time, a calculated metric, nor quicker turnaround on in box tasks. CLOC time emerged as a potential less-costly surrogate metric for provider satisfaction in EHR work than surveying clinicians. Further study is required to understand the cost-benefit of various interventions to decrease CLOC time.ConclusionsThis supplemental EHR training session, 20 months post go-live, where most participants elected to receive 2 or fewer sessions did significantly improve provider satisfaction with perceived control over their workload in the EHR, but it was not effective in decreasing EHR-use time outside of clinic. CLOC time, a calculated metric, could be a practical trackable surrogate for provider satisfaction (inverse correlation) with after-hours time spent in the EHR. Further study into interventions that decrease CLOC time and improve turnaround time to respond to inbox tasks are suggested next steps.

A Time-Motion Study of Primary Care Physicians' Work in the Electronic Health Record Era.

Electronic health records (EHRs) have had mixed effects on the workflow of ambulatory primary care. In this study, we update previous research on the time required to care for patients in primary care clinics with EHRs. We directly observed family physician (FP) attendings, residents, and their ambulatory patients in 982 visits in clinics affiliated with 10 residencies of the Residency Research Network of Texas. The FPs were purposely chosen to reflect a diversity of patient care styles. We measured total visit time, previsit chart time, face-to-face time, non-face time, out-of-hours EHR work time, and total EHR work time. The mean (SD) visit length was 35.8 (16.6) minutes, not counting resident precepting time. The mean time components included 2.9 (3.8) minutes working in the EHR prior to entering the room, 16.5 (9.2) minutes of face-to-face time not working in the EHR, 2.0 (2.1) minutes working in the EHR in the room (which occurred in 73.4% of the visits), 7.5 (7.5) minutes of non-face time (mostly EHR time), and 6.9 (7.6) minutes of EHR work outside of normal clinic operational hours (which occurred in 64.6% of the visits). The total time and total EHR time varied only slightly between faculty physicians, third-year and second-year residents. Multivariable linear regression analysis revealed many factors associated with total visit time including patient, physician, and clinic infrastructure factors. Primary care physicians spent more time working in the EHR than they spent in face-to-face time with patients in clinic visits.

Electronic Health Record Effects on Work-Life Balance and Burnout Within the I3 Population Collaborative.

Physician burnout is a problem that often is attributed to the use of the electronic health record (EHR). To estimate the prevalence of burnout and work-life balance satisfaction in primary care residents and teaching physicians, and to examine the relationship between these outcomes, EHR use, and other practice and individual factors. Residents and faculty in 19 primary care programs were anonymously surveyed about burnout, work-life balance satisfaction, and EHR use. Additional items included practice size, specialty, EHR characteristics, and demographics. A logistic regression model identified independent factors associated with burnout and work-life balance satisfaction. In total, 585 of 866 surveys (68%) were completed, and 216 (37%) respondents indicated 1 or more symptoms of burnout, with 162 (75%) attributing burnout to the EHR. A total of 310 of 585 (53%) reported dissatisfaction with work-life balance, and 497 (85%) indicated that use of the EHR affected their work-life balance. Respondents who spent more than 6 hours weekly after hours in EHR work were 2.9 times (95% confidence interval [CI] 1.9-4.4) more likely to report burnout and 3.9 times (95% CI 1.9-8.2) more likely to attribute burnout to the EHR. They were 0.33 times (95% CI 0.22-0.49) as likely to report work-life balance satisfaction, and 3.7 times (95% CI 2.1-6.7) more likely to attribute their work-life balance satisfaction to the EHR. More after-hours time spent on the EHR was associated with burnout and less work-life satisfaction in primary care residents and faculty.

Strategizing EHR use to achieve patient-centered care in exam rooms: a qualitative study on primary care providers.

Electronic health records (EHRs) have great potential to improve quality of care. However, their use may diminish "patient-centeredness" in exam rooms by distracting the healthcare provider from focusing on direct patient interaction. The authors conducted a qualitative interview study to understand the magnitude of this issue, and the strategies that primary care providers devised to mitigate the unintended adverse effect associated with EHR use. Semi-structured interviews were conducted with 21 healthcare providers at 4 Veterans Affairs (VAs) outpatient primary care clinics in San Diego County. Data analysis was performed using the grounded theory approach. The results show that providers face demands from both patients and the EHR system. To cope with these demands, and to provide patient-centered care, providers attempt to perform EHR work outside of patient encounters and create templates to streamline documentation work. Providers also attempt to use the EHR to engage patients, establish patient buy-in for EHR use, and multitask between communicating with patients and using the EHR. This study has uncovered the challenges that primary care providers face in integrating the EHR into their work practice, and the strategies they use to overcome these challenges in order to maintain patient-centered care. These findings illuminate the importance of developing "best" practices to improve patient-centered care in today's highly "wired" health environment. These findings also show that more user-centered EHR design is needed to improve system usability.