Electronic Health Record Tasks Research Articles

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 .

Workflow interruption and nurses’ mental workload in electronic health record tasks: An observational study

BackgroundWorkflow interruptions are common in modern work systems. Electronic health record (EHR) tasks are typical tasks involving human–machine interactions in nursing care, but few studies have examined interruptions and nurses’ mental workload in the tasks. Therefore, this study aims to investigate how frequent interruptions and multilevel factors affect nurses’ mental workload and performance in EHR tasks.MethodsA prospective observational study was conducted in a tertiary hospital providing specialist and sub-specialist care from June 1st to October 31st, 2021. An observer documented nurses’ EHR task interruptions, reactions and performance (errors and near errors) during one-shift observation sessions. Questionnaires were administered at the end of the electronic health record task observation to measure nurses’ mental workload for the electronic health record tasks, task difficulty, system usability, professional experience, professional competency, and self-efficacy. Path analysis was used to test a hypothetical model.ResultsIn 145 shift observations, 2871 interruptions occurred, and the mean task duration was 84.69 (SD 56.68) minutes per shift. The incidence of error or near error was 158, while 68.35% of errors were self-corrected. The total mean mental workload level was 44.57 (SD 14.08). A path analysis model with adequate fit indices is presented. There was a relationship among concurrent multitasking, task switching and task time. Task time, task difficulty and system usability had direct effects on mental workload. Task performance was influenced by mental workload and professional title. Negative affect mediated the path from task performance to mental workload.ConclusionsNursing interruptions occur frequently in EHR tasks, come from different sources and may lead to elevated mental workload and negative outcomes. By exploring the variables related to mental workload and performance, we offer a new perspective on quality improvement strategies. Reducing harmful interruptions to decrease task time can avoid negative outcomes. Training nurses to cope with interruptions and improve competency in EHR implementation and task operation has the potential to decrease nurses’ mental workload and improve task performance. Moreover, improving system usability is beneficial to nurses to mitigate mental workload.

Burnout Related to Electronic Health Record Use in Primary Care.

Physician burnout has been increasing in the United States, especially in primary care, and the use of Electronic Health Records (EHRs) is a prominent contributor. This review article summarizes findings from a PubMed literature search that shows the significant contributors to EHR-related burnout may be documentation and clerical burdens, complex usability, electronic messaging and inbox, cognitive load, and time demands. Documentation requirements have escalated and have inherently changed from paper-based records. Many clerical tasks have also shifted to become additional physician responsibilities. When considering factors of efficiency, effectiveness, and user satisfaction, EHRs overall have an inferior usability score when compared to other technologies. The volume and organization of data along with alerts and complex interfaces require a substantial cognitive load and result in cognitive fatigue. Patient interactions and work-life balances are negatively affected by the time requirements of EHR tasks during and after clinic hours. Patient portals and EHR messaging have created a separate source of patient care outside of face-to-face visits that is often unaccounted productivity and not reimbursable.

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.

Quantifying the Electronic Health Record Burden in Head and Neck Cancer Care.

Background Although the main task of health care providers is to provide patient care, studies show that increasing amounts of time are spent on documentation. Objective To quantify the time and effort spent on the electronic health record (EHR) in head and neck cancer care. Methods Cross-sectional time–motion study. Primary outcomes were the percentages of time spent on the EHR and the three main tasks (chart review, input, placing orders), number of mouse events, and keystrokes per consultation. Secondary outcome measures were perceptions of health care providers regarding EHR documentation and satisfaction. Results In total, 44.0% of initial oncological consultation (IOC) duration and 30.7% of follow-up consultation (FUC) duration are spent on EHR tasks. During 80.0% of an IOC and 67.9% of a FUC, the patient and provider were actively communicating. Providers required 593 mouse events and 1,664 keystrokes per IOC and 140 mouse events and 597 keystrokes per FUC, indicating almost 13 mouse clicks and close to 40 keystrokes for every minute of consultation time. Less than a quarter of providers indicated that there is enough time for documentation. Conclusion This study quantifies the widespread concern of high documentation burden for health care providers in oncology, which has been related to burnout and a decrease of patient–clinician interaction. Despite excessive time and effort spent on the EHR, health care providers still felt this was insufficient for proper documentation. However, the need for accurate and complete documentation is high, as reuse of information becomes increasingly important. The challenge is to decrease the documentation burden while increasing the quality of EHR data.

Acute Care Surgeons Spend More Time than General Surgeons on the Electronic Health Record (EHR).

The paradigm of Acute Care Surgery (ACS) emerged in response to decreasing operative opportunities for trauma surgeons and increasing need for surgical coverage in disciplines to which the expertise of trauma surgeons naturally extends. While the continued evolution of this specialty remains largely beneficial, unintended consequences may have arisen along the way. One aspect of ACS that remains to be thoroughly investigated is the impact of the electronic health record (EHR). The purpose of this study is to objectively quantify EHR usage for ACS and compare it to other general surgery specialties. EHR user data were collected for fifteen ACS attendings and thirty-seven general surgery attendings from October 2014 to September 2019. Comparative analysis was conducted using two-tailed t-tests. Subgroup analysis was conducted for subspecialties included in the general surgery group. ACS attendings opened almost 3 times as many charts as general surgery attendings per month (180 vs 64 charts/month, P < .0001), and ultimately spent more time on the EHR as a result (10 vs 6.4 hours/month, P < .0001). Documentation was the most time consuming EHR task for both groups. Although ACS attendings spent less overall time per patient chart, the proportion of time spent on certain EHR tasks was similar to that of general surgery colleagues. The EHR imposes a disproportionate burden on ACS attendings compared to their general surgery counterparts, and additional study is warranted to improve usage. EHR usage burden has workforce implications for trainees considering a career in ACS.

Time and Clerical Burden Posed by the Current Electronic Health Record for Orthopaedic Surgeons.

The electronic health record (EHR) has become an integral part of modern medical practice. The balance of benefit versus burden of a required EHR remains inconclusive, with many studies identifying increasing physician burnout and less face-to-face patient contact because of increasing documentation demands. Few studies have investigated EHR burden in orthopaedic surgery practice. This study aimed to characterize and compare EHR usage patterns and time allocation within EHR between orthopaedic surgeons, other surgeons, and medicine physicians at an academic medical center. EHR usage was digitally tracked within a large academic medical center. EHR usage data were compiled for all physicians seeing outpatients from April 2018 to June 2019. The tracking metrics included time spent answering messages, typing notes, reviewing laboratories and imaging, reading notes, and placing orders. Physicians were subdivided between orthopaedic surgeons, other surgeons, and nonsurgeon/medical specialties. Statistical comparisons using a two-sample t-test were done between orthopaedic surgeon EHR usage patterns and other surgeons, in addition to orthopaedic surgeons versus nonsurgeons. One thousand sixty physicians including 28 full-time orthopaedic surgeons, 134 other surgeons, and 898 nonsurgical medicine physicians met inclusion criteria. Orthopaedic surgeons saw on average 31 patients per office day compared with other surgeons at 18 patients per office day (P < 0.01) and nonsurgeons at 12 patients per office day (P < 0.01). Orthopaedic surgeons received more EHR messages while also being more efficient at answering EHR messages compared with other surgeons and nonsurgeons (P < 0.01). EHR tasks, including answering messages, placing orders, chart review, writing notes, and reviewing imaging, consumed 58% of an orthopaedic surgeon's scheduled office day with the largest contribution from required note writing. In academic orthopaedic practice, EHR use has surpassed face-to-face patient time, consuming 58% of orthopaedic surgeons' clinical days. With the previously shown correlation between EHR burden and physician burnout, targeted interventions to increase efficiency and off-load EHR burden are necessary to sustain a successful orthopaedic practice.

Strategies for sustaining high-quality pediatric asthma care in community hospitals.

To identify strategies associated with sustained guideline adherence and high-quality pediatric asthma care in community hospitals. Primary qualitative data from clinicians in hospitals across the United States (collected December 2019-February 2021). Pathways for Improving Pediatric Asthma Care (PIPA) was a national quality improvement (QI) intervention. In a prior quantitative study, data from 23 community hospitals in PIPA were analyzed to identify sites with the highest and lowest performance in sustaining improvements for 2 years. In this qualitative study, we conducted semi-structured interviews with multidisciplinary clinicians from these hospitals to identify strategies associated with sustainability. We purposefully sampled and interviewed participants involved in clinical care of children hospitalized with asthma at the identified hospitals (those with the highest/lowest sustainability performance). We transcribed and analyzed interview data using constant comparative methods. Clinicians (n=19) from five higher- and three lower-performing hospitals participated. In higher-performing hospitals, dedicated local champions more consistently provided reminders of evidence-based practices and delivered ongoing education. They also modified/developed electronic health record (EHR) tools (e.g., order sets with decision support). Higher-performing hospitals had a collaborative culture receptive to practice change and set firm expectations that evidence-based practices would be followed without exception. In lower-performing hospitals, participants described unique barriers, including delays in modifying the EHR and lack of automation of EHR tools (requiring clinicians to remember new EHR tasks without automated prompts). Barriers to sustainability for all hospitals included challenges with quality monitoring, decreasing focus of local champions over time, and ongoing difficulties developing consensus around evidence-based practices. To better ensure sustained high-quality care for children with asthma and greater returns on QI investments, QI leaders should prioritize: designating long-term local champions to continue reminders and educational efforts and developing electronic order sets to provide ongoing decision support.

Strategies for Sustaining High‐Quality Pediatric Asthma Care in Community Hospitals

Research ObjectiveHospitals make significant investments in quality improvement (QI) initiatives to improve clinicians' guideline adherence and care quality. However, the majority of studies report adherence declines after such initiatives end. Our objective was to identify strategies associated with sustained guideline adherence and high‐quality pediatric asthma care in community hospitals, which care for &gt;70% of hospitalized children in the US.Study DesignPathways for Improving Pediatric Asthma Care (PIPA) was a national QI initiative. In a prior quantitative study, data from 34 community hospitals in PIPA were analyzed to identify sites with higher and lower performance in sustaining clinicians' guideline adherence over a 2‐year period during and after the initiative. In this qualitative study, we conducted semi‐structured interviews with clinicians from these higher‐ and lower‐performing hospitals. We used constant comparative methods to identify strategies associated with sustained guideline adherence.Population StudiedMulti‐disciplinary clinicians (e.g., physicians, nurses, respiratory therapists).Principal FindingsClinicians (n = 19) from 5 higher‐ and 3 lower‐performing hospitals participated. In higher‐performing hospitals, dedicated local champions used several strategies to promote sustained high‐quality care, including: (1) providing ongoing reminders of evidence‐based practices; (2) delivering ongoing education on evidence‐based practices; and (3) modifying the electronic health record (EHR) to provide decision support, often via order sets. Higher‐performing sites also had access to resources for quality monitoring, as well as a culture of firm expectation that evidence‐based practices would be adopted and followed without exception. In lower‐performing hospitals, participants described unique barriers to sustaining high‐quality care, including delays in modifying the EHR and lack of automation of EHR tools (requiring clinicians to remember and perform new EHR tasks without automated prompts to do so). Barriers to sustainability for all hospitals included: (1) challenges maintaining quality monitoring; (2) decreasing focus of local champions over time; and (3) ongoing difficulties developing consensus around evidence‐based practices.ConclusionsWe outline several strategies associated with sustaining high‐quality pediatric asthma care in community hospitals. Several of these rely on a dedicated, long‐term local champion.Implications for Policy or PracticeSupporting a dedicated local champion long‐term may be critical to reap returns on QI investments. Strategy Exemplary Quotes Providing ongoing reminders of evidence‐based practices “And then for the residents, we have our guidelines where they can find them, and we have them just posted visibly in the call room as well as on a couple of different sites on our internal website.” Delivering ongoing education/training on evidence‐based practices “When a new employee comes on during their orientation, they're educated on [the pediatric asthma] pathway… so that education piece is truly never gone away.” Modifying the electronic health record (EHR) to provide decision support “And then the other part of it is, it has to be easy to do. So, somebody shouldn't have to remember something on a regular basis because things are easy to forget and needs to be right there in their face. Every time they're ordering the asthma order set it's right there.” Primary Funding SourceAgency for Healthcare Research and Quality.

Improving Student Confidence With Electronic Health Record Order Entry.

Despite near-universal utilization of electronic health records (EHRs) by physicians in practice, medical students in most ambulatory settings gain limited experience with placing EHR orders. In this study, an individual preceptor site investigated the usefulness of a targeted curriculum in improving students' EHR confidence and clinical reasoning skills. Family medicine clerkship students assigned to one community health center were invited to participate in this prospective, survey-based study. In their first week, students observed a preceptor performing EHR tasks. For the remainder of the 4-week clerkship, students utilized decision support tools, assigned a working diagnosis, entered unsigned orders in the EHR, proposed an assessment, and discussed a plan with a preceptor. Students completed weekly questionnaires to self-report confidence across several EHR domains while preceptors synchronously evaluated students' accuracy with entering orders correctly. From February 2017 to March 2020, all 49 eligible students completed the study. One hundred percent of students reported that placing EHR orders was beneficial to their medical education. The difference over time in learner confidence with placing EHR orders was statistically significant across every domain (eg, writing prescriptions, ordering labs and imaging). Preceptors' evaluations of students' accuracy with placing orders also showed significant improvement between each week. Clerkship-wide EHR training may be limited by multiple sites with multiple EHR products. This pilot study suggests that committed faculty at an individual preceptor site can offer a targeted curriculum to help students develop EHR confidence. We propose other preceptors similarly offer students this opportunity to maximize clerkship education.

MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records

One important challenge of applying deep learning to electronic health records (EHR) is the complexity of their multimodal structure. EHR usually contains a mixture of structured (codes) and unstructured (free-text) data with sparse and irregular longitudinal features -- all of which doctors utilize when making decisions. In the deep learning regime, determining how different modality representations should be fused together is a difficult problem, which is often addressed by handcrafted modeling and intuition. In this work, we extend state-of-the-art neural architecture search (NAS) methods and propose MUltimodal Fusion Architecture SeArch (MUFASA) to simultaneously search across multimodal fusion strategies and modality-specific architectures for the first time. We demonstrate empirically that our MUFASA method outperforms established unimodal NAS on public EHR data with comparable computation costs. In addition, MUFASA produces architectures that outperform Transformer and Evolved Transformer. Compared with these baselines on CCS diagnosis code prediction, our discovered models improve top-5 recall from 0.88 to 0.91 and demonstrate the ability to generalize to other EHR tasks. Studying our top architecture in depth, we provide empirical evidence that MUFASA's improvements are derived from its ability to both customize modeling for each modality and find effective fusion strategies.

A Time and Motion Analysis of Nursing Workload and Electronic Health Record Use in the Emergency Department

IntroductionThe use of an electronic health record may create unanticipated consequences for emergency care delivery. We sought to describe emergency department nursing task distribution and the use of the electronic health record. MethodsThis was a prospective observational study of nurses in the emergency department using a time-and-motion methodology. Three trained research assistants conducted 1:1 observations between March and September 2019. Nurse tasks were classified into 6 established categories: electronic health record, direct/indirect patient care, communication, personal time, and other. Nurses’ perceived workload was assessed using the National Aeronautics and Space Administration (NASA) Task Load Index. ResultsTwenty-three observations were conducted over 46 hours. Overall, nurses spent 27% of their time on electronic health record tasks, 25% on direct patient care, 17% on personal time, 15% on indirect patient care, and 6% on communication. During morning (7 am-12 pm) and afternoon shifts (12 pm-3 pm), the use of the health record was the most commonly performed task, whereas indirect patient care was the task most performed during evening shifts (3 pm-12 pm). Using the National Aeronautics and Space Administration (NASA) Task Load Index, nurses reported an increase in mental demand and effort during afternoon shifts compared with morning shifts. DiscussionWe observed that emergency nurses spent more time using the electronic health record as compared to other tasks. Increased usability of the electronic health record, particularly during high occupancy periods, may be a target for improvement.

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.

Provider Burnout as it relates to the Electronic Health Record and Clinical Workflow

Provider burnout has reached epidemic levels, especially with primary care-oriented specialties such as Family Medicine. Guided by a sociotechnical systems perspective, we investigated contributing burnout factors that relate to the electronic health record (EHR) and clinical workflow in an academic healthcare institution. We conducted semi-structured interviews with 10 family medicine and geriatrics providers and administered EHR usability and workflow integration surveys. Findings are organized around recurrent, overarching themes: (1) Clinic Workflow, (2) Documentation, (3) EHR Workflow and Usability, (4) Patient Complexity, (5) Staffing, and (6) Technical Issues. The most consistent finding across all provider interviews was poor EHR usability as a contributing factor to burnout; especially the number of clicks needed to complete EHR tasks. This finding is supported by low usability and workflow integration survey ratings. Using a sociotechnical systems framework, we demonstrate social, technological, and environmental contributors to burnout and discuss potential interventions to mitigate these contributing factors.

The Electronic Health Record Objective Structured Clinical Examination Station: Assessing Student Competency in Patient Notes and Patient Interaction.

IntroductionThe ability to utilize the electronic health record (EHR) without compromising the doctor-patient relationship (DPR) is an essential skill of all physicians and trainees, yet little time is spent on educating or assessing learners on needed techniques. To address this gap, we developed a conventional OSCE station coupled with a simulated patient chart within the Epic program in order to assess our students' skills utilizing the EHR during a patient encounter.MethodsOf third-year medical students, 119 were given full access to the patient's simulated chart 24 hours in advance of their OSCE to review clinical data. During an in-person OSCE with a standardized patient (SP), students performed a focused history and physical, using the EHR to verify allergies and medications. Students completed an electronic patient note graded by faculty. SPs evaluated the students on communication and interpersonal skills with specific rubric elements. Faculty graded the students' notes to evaluate their expression of clinical reasoning in the assessment and plan.ResultsTraining SPs and faculty to assess students on EHR skills was feasible. After implementation of a comprehensive curriculum focused on EHR and DPR, there was a significant difference on EHR-related communication skills (M = 76.4, SD = 17.6) versus (M = 37, SD = 28.9) before curriculum enhancement t (117.9) = −12.4, p <.001.DiscussionThe EHR OSCE station provided a standardized method of assessing students' EHR skills during a patient encounter. Challenges still exist in the technological requirements to develop and deliver cases in today's EHR platform.

How Physicians Spend Their Work Time: an Ecological Momentary Assessment.

Little is known about how physicians spend their work time. To determine how physicians in outpatient care spend their time at work, using an innovative method: ecological momentary assessment (EMA). Physician activity was measured via EMA, using a smartphone app. Twenty-eight practices across 16 US states. Sixty-one physicians: general internal medicine, family medicine, non-interventional cardiology, orthopedics. Proportions of time spent on 14 activities within 6 broad categories of work: direct patient care (including both face-to-face care and other patient care-related activities), electronic health record (EHR) input, administration, teaching/supervising, personal time, and other. After excluding personal time, physicians spent 66.5% of their time on direct patient care (23.6% multitasking with use of the EHR and 42.9% without the EHR), 20.7% on EHR input alone, 7.7% on administrative activities, and 5.0% on other activities (0.6% using the EHR). In total, physicians spent 44.9% of their time on the EHR. Unable to measure time spent at home on the EHR or other work tasks; participating physicians were not a random sample of US physicians. The efficiency of highly trained professionals spending only two-thirds of their time on direct patient care may be questioned. EHR use continues to account for a large proportion of physician time. Further attempts should be made to redesign both EHRs and physician work processes.

Electronic Health Record Use among Ophthalmology Residents while on Call.

As electronic health record (EHR) use becomes more widespread, detailed records of how users interact with the EHR, known as EHR audit logs, are being used to characterize the clinical workflows of physicians including residents. After-hours EHR use is of particular interest given its known association with physician burnout. Several studies have analyzed EHR audit logs for residents in other fields, such as internal medicine, but none thus far in ophthalmology. Here, we focused specifically on EHR use during on-call shifts outside of normal clinic hours. In this retrospective study, we analyzed raw EHR audit log data from on-call shifts for 12 ophthalmology residents at a single institution over the course of a calendar year. Data were analyzed to characterize total time spent using the EHR, clinical volume, diagnoses of patients seen on call, and EHR tasks. Across all call shifts, the median and interquartile range (IQR) of the time spent logged into the EHR per shift were 88 and 131 minutes, respectively. The median (IQR) unique patient charts accessed per shift was 7 (9) patients. When standardized to per-hour measures, weekday evening shifts were the busiest call shifts with regard to both EHR use time and clinical volume. Total EHR use time and clinical volume were greatest in the summer months (July to September). Chart review comprised a majority (63.4%) of ophthalmology residents' on-call EHR activities. In summary, EHR audit logs demonstrate substantial call burden for ophthalmology residents outside of regular clinic hours. These data and future studies can be used to further characterize the clinical exposure and call burden of ophthalmology residents and could potentially have broader implications in the fields of physician burnout and education policy.

Understanding the Association Between Electronic Health Record Satisfaction and the Well-Being of Nurses: Survey Study.

BackgroundIntensive care unit (ICU) nurses experience high levels of burnout related to the high-stress environment. Management of electronic health records (EHR) is a contributing factor to physician burnout. However, limited research has established the relationship between the nurse’s well-being and EHR use.ObjectiveThe objective of this study was to examine the association between EHR use and the well-being of nurses.MethodsWe surveyed registered nurses employed at a major Southeastern medical center in the United States about their demographics, experience with EHRs, satisfaction with EHRs, and elements of well-being. The correlation between subgroup demographics and survey questions was examined using Kendall and Fisher tests.ResultsA total of 113 ICU registered nurses responded to the survey, of which 93 (82.3%) were females. The population had a mean age of 35.18 years (SD 10.65). A significant association was found between satisfaction and well-being scores, where higher EHR satisfaction was associated with higher self-reported well-being (correlation 0.35, P<.001). Nurses who were unhappy with the time spent in EHR use compared with direct patient care reported higher levels of stress (P<.001) and isolation (P=.009). Older nurses reported higher dissatisfaction with the amount of time spent on EHR tasks related to direct patient care compared to younger nurses (P<.001).ConclusionsAlthough nurses reported acceptable satisfaction scores with EHR use, deeper analysis suggests that EHR indirectly affects the well-being of nurses. These findings strongly indicate that lower EHR satisfaction can impact the well-being of nurses. More research is needed to optimize the nurse-EHR experience through more user-centered design approaches.

Self-Perceptions of Readiness to Use Electronic Health Records Among Medical Students: Survey Study.

BackgroundAlthough several national organizations have declared the ability to work with electronic health records (EHRs) as a core competency of medical education, EHR education and use among medical students vary widely. Previous studies have reported EHR tasks performed by medical students, but students’ self-perceived readiness and comfort with EHRs are relatively unknown.ObjectiveThis study aimed to better understand medical students’ self-perceived readiness to use EHRs to identify potential curricular gaps and inform future training efforts based on students’ perspectives.MethodsThe authors deployed a survey investigating self-perceived comfort with EHRs at 2 institutions in the United States in May 2019. Descriptive statistics were generated regarding demographics, comfort level with various EHR-related tasks, and cross-institutional comparisons. We also assessed the impact of extracurricular EHR experience on comfort level.ResultsIn total, 147 medical students responded, of which 80 (54.4%) were female, with equal distribution across all 4 years of training. Overall confidence was generally higher for students with longer extracurricular EHR experience, even when adjusted for age, gender, year of training, and institution. Students were most comfortable with tasks related to looking up information in the EHR and felt less comfortable with tasks related to entering new information and managing medications. Fourth-year students at both schools reported similar levels of comfort with EHR use, despite differences in preclinical EHR training. Open-ended comments emphasized the value of experiential training over didactic formats.ConclusionsInformation entry and medication management in the EHR represent areas for future curricular development. Experiential training via extracurricular activities and early clinical exposure may be high-yield approaches to help medical students achieve critical EHR competencies.

A Task-Analytic Framework Comparing Preoperative Electronic Health Record-Mediated Nursing Workflow in Different Settings.

Preoperative care is a critical, yet complex, time-sensitive process. Optimization of workflow is challenging for many reasons, including a lack of standard workflow analysis methods. We sought to comprehensively characterize electronic health record-mediated preoperative nursing workflow. We employed a structured methodological framework to investigate and explain variations in the workflow. Video recording software captured 10 preoperative cases at Arizona and Florida regional referral centers. We compared the distribution of work for electronic health record tasks and off-screen tasks through quantitative analysis. Suboptimal patterns and reasons for variation were explored through qualitative analysis. Although both settings used the same electronic health record system, electronic health record tasks and off-screen tasks time distribution and patterns were notably different across two sites. Arizona nurses spent a longer time completing preoperative assessment. Electronic health record tasks occupied a higher proportion of time in Arizona, while off-screen tasks occupied a higher proportion in Florida. The contextual analysis helped to identify the variation associated with the documentation workload, preparation of the patient, and regional differences. These findings should seed hypotheses for future optimization efforts and research supporting standardization and harmonization of workflow across settings, post-electronic health record conversion.