Electronic Health Record Interface Research Articles

Reducing Inappropriate Stat Echocardiograms: A Quality Improvement Initiative (RISE-QI)

A complete transthoracic echocardiogram takes approximately 45 minutes to complete, including time for image acquisition and preliminary reporting by the sonographer. The process can take substantially longer if there are technical difficulties or if contrast must be administered due to suboptimal imaging windows. This can create a considerable echocardiogram backlog at high-volume institutions. At the authors' institution, there was a concern that ordering providers were inappropriately designating studies as stat to get their patients to the front of the bottleneck. On review, the quality improvement team found that 19.9% of all echocardiograms ordered during June 2021 were designated stat, of which 44.0% contained indications that the team determined were rarely appropriate for a stat priority designation. The team located a flaw in the electronic health record interface that encouraged overuse of the stat designation, so an interface change was designed and implemented to create a hard stop requiring the selection of predetermined indications for any stat order. We also reduced the number of steps required to select the less-urgent ASAP priority to encourage its use over stat priority. Within one month postintervention, there was a statistically significant 36.3% reduction in the order of stat echocardiograms, with a concurrent 173.9% rise in ASAP orders over the same time frame. These numbers remained steady at one-year and two-year follow-up analyses. A quick and simple modification to the echocardiogram order user interface can lead to a considerable reduction in the number of stat orders.

Clinical evaluation of a web-based personalized recommendation system with electronic health record interface to optimize healthcare resources during SARS-CoV-2 surges

During the SARS-CoV-2 pandemic, the German healthcare system faced challenges of efficiently allocating testing resources. To address this, we developed an open-source personalized recommendation system (PRS) called “CovApp”. The PRS utilized a questionnaire to estimate the risk of infection, provided personalized recommendations such as testing, self-isolation, or quarantine, and featured QR code data transmission to electronic health records. The PRS served up to 2.5 million monthly users and received 67,000 backlinks from 1800 domains. We clinically evaluated the PRS at the SARS-CoV-2 testing facility at Charité and observed a 21.7% increase in patient throughput per hour and a 22.5% increase in patients per day. Patients using the PRS were twice as likely to belong to the High Risk group eligible for testing (18.6% vs. 8.9%, p < 0.0001), indicating successful compliance with CovApp’s recommendations. CovApp served as a digital bridge between the population and medical staff and significantly improved testing efficiency. As an open-source platform, CovApp can be readily customized to address emerging public health crises. Further, given the EHR interface, the app is of great utility for other applications in clinical settings.

ResearchMatch on FHIR: Development and evaluation of a recruitment registry and electronic health record system interface for volunteer profile completion.

Obtaining complete and accurate information in recruitment registries is essential for matching potential participants to research studies for which they qualify. Since electronic health record (EHR) systems are required to make patient data available to external systems, an interface between EHRs and recruitment registries may improve accuracy and completeness of volunteers' profiles. We tested this hypothesis on ResearchMatch (RM), a disease- and institution-neutral recruitment registry with 1357 studies across 255 institutions. We developed an interface where volunteers signing up for RM can authorize transfer of demographic data, medical conditions, and medications from the EHR into a registration form. We obtained feedback from a panel of community members to determine acceptability of the planned integration. We then developed the EHR interface and performed an evaluation study of 100 patients to determine whether RM profiles generated with EHR-assisted adjudication included more conditions and medications than those without the EHR connection. Community member feedback revealed that members of the public were willing to authenticate into the EHR from RM with proper messaging about choice and privacy. The evaluation study showed that out of 100 participants, 75 included more conditions and 69 included more medications in RM profiles completed with the EHR connection than those without. Participants also completed the EHR-connected profiles in 16 fewer seconds than non-EHR-connected profiles. The EHR to RM integration could lead to more complete profiles, less participant burden, and better study matches for many of the over 148,000 volunteers who participate in ResearchMatch.

Assessing the Immunization Information System and electronic health record interface accuracy for COVID-19 vaccinations.

Our objective is to assess the accuracy of the COVID-19 vaccination status within the electronic health record (EHR) for a panel of patients in a primary care practice when manual queries of the state immunization databases are required to access outside immunization records. This study evaluated COVID-19 vaccination status of adult primary care patients within a university-based health system EHR by manually querying the Kansas and Missouri Immunization Information Systems. A manual query of the local Immunization Information Systems for 4114 adult patients with "unknown" vaccination status showed 44% of the patients were previously vaccinated. Attempts to assess the comprehensiveness of the Immunization Information Systems were hampered by incomplete documentation in the chart and poor response to patient outreach. When the interface between the patient chart and the local Immunization Information System depends on a manual query for the transfer of data, the COVID-19 vaccination status for a panel of patients is often inaccurate.

1657. Real-life implementation of a machine learning based algorithm for urinary tract infection antibiotic resistance management in the community setting

Abstract Background At outpatient visits, one of the most common reasons for antibiotics administration is Urinary Tract Infection (UTI), where selection of the appropriate empiric antibiotic requires consideration of multiple factors. The aim of this study was to assess the implementation and effectiveness of a machine learning based model for UTI antibiotic resistance, embedded in the physician's medical encounter workflow. Methods A longitudinal, nationwide prospective study, conducted by Maccabi Healthcare Services, a health organization in Israel serving 2.5 million members, with about 120,000 medical encounters with a UTI diagnosis per year. We adopted a machine-learning algorithm to predict antibiotic susceptibility using personal electronic health record data. Then, a designated order set was incorporated within our electronic health record interface, named 'UTI Smart-set' (UTIS). When a UTI diagnosis code is selected by the physician, a pop up screen emerges with the recommended antibiotics. The recommendation is based on the personal predicted susceptibility model developed, followed by the optimal narrow-spectrum antibiotic as recommended by the organizational clinical guidelines. . We analyzed the antibiotic prescriptions that were recommended by UTIS, the actual prescriptions given, and compared them to the culture results and the pathogen antibiotic resistance profile. Results From July 1st 2021 to April 1st 2022, among 73,148 medical encounters with a UTI diagnosis, 34,659 antibiotic prescriptions were provided. In 21,924 (63.2%) encounters the UTIS recommendation was accepted whereas in 12,736 (36.7%) it was declined. Use of the UTIS recommendation resulted in a 31.8% reduction of the measured resistance to antibiotics prescribed to patients, 10.9% (2,224) of cases who followed the UTIS recommendation for antibiotics versus 16.0% (1,879) case who did not. A 47% cumulative improvement in adherence to clinical guidelines was also observed using the tool. Conclusion This unique, point of care, antibiotic stewardship tool, based on a combination of clinical guidelines and personalized medicine, led to a major improvement in the selection of appropriate antibiotics. Disclosures Shirley Shapiro Ben David, MD, pfizer: Grant/Research Support.

Information and Data Visualization Needs among Direct Care Nurses in the Intensive Care Unit

Intensive care unit (ICU) direct care nurses spend 22% of their shift completing tasks within the electronic health record (EHR). Miscommunications and inefficiencies occur, particularly during patient hand-off, placing patient safety at risk. Redesigning how direct care nurses visualize and interact with patient information during hand-off is one opportunity to improve EHR use. A web-based survey was deployed to better understand the information and visualization needs at patient hand-off to inform redesign. A multicenter anonymous web-based survey of direct care ICU nurses was conducted (9-12/2021). Semi-structured interviews with stakeholders informed survey development. The primary outcome was identifying primary EHR data needs at patient hand-off for inclusion in future EHR visualization and interface development. Secondary outcomes included current use of the EHR at patient hand-off, EHR satisfaction, and visualization preferences. Frequencies, means, and medians were calculated for each data item then ranked in descending order to generate proportional quarters using SAS v9.4. In total, 107 direct care ICU nurses completed the survey. The majority (46%, n = 49/107) use the EHR at patient hand-off to verify exchanged verbal information. Sixty-four percent (n = 68/107) indicated that current EHR visualization was insufficient. At the start of an ICU shift, primary EHR data needs included hemodynamics (mean 4.89 ± 0.37, 98%, n = 105), continuous IV medications (4.55 ± 0.73, 93%, n = 99), laboratory results (4.60 ± 0.56, 96%, n = 103), mechanical circulatory support devices (4.62 ± 0.72, 90%, n = 97), code status (4.40 ± 0.85, 59%, n = 108), and ventilation status (4.35 + 0.79, 51%, n = 108). Secondary outcomes included mean EHR satisfaction of 65 (0-100 scale, standard deviation = ± 21) and preferred future EHR user-interfaces to be organized by organ system (53%, n = 57/107) and visualized by tasks/schedule (61%, n = 65/107). We identified information and visualization needs of direct care ICU nurses. The study findings could serve as a baseline toward redesigning an EHR interface.

Clinical Decision Support with or without Shared Decision Making to Improve Preventive Cancer Care: A Cluster-Randomized Trial.

Innovative interventions are needed to address gaps in preventive cancer care, especially in rural areas. This study evaluated the impact of clinical decision support (CDS) with and without shared decision making (SDM) on cancer-screening completion. In this 3-arm, parallel-group, cluster-randomized trial conducted at a predominantly rural medical group, 34 primary care clinics were randomized to clinical decision support (CDS), CDS plus shared decision making (CDS+SDM), or usual care (UC). The CDS applied web-based clinical algorithms identifying patients overdue for United States Preventive Services Task Force-recommended preventive cancer care and presented evidence-based recommendations to patients and providers on printouts and on the electronic health record interface. Patients in the CDS+SDM clinic also received shared decision-making tools (SDMTs). The primary outcome was a composite indicator of the proportion of patients overdue for breast, cervical, or colorectal cancer screening at index who were up to date on these 1 y later. From August 1, 2018, to March 15, 2019, 69,405 patients aged 21 to 74 y had visits at study clinics and 25,198 were overdue for 1 or more cancer screening tests at an index visit. At 12-mo follow-up, 9,543 of these (37.9%) were up to date on the composite endpoint. The adjusted, model-derived percentage of patients up to date was 36.5% (95% confidence interval [CI]: 34.0-39.1) in the UC group, 38.1% (95% CI: 35.5-40.9) in the CDS group, and 34.4% (95% CI: 31.8-37.2) in the CDS+SDM group. For all comparisons, the screening rates were higher than UC in the CDS group and lower than UC in the CDS+SDM group, although these differences did not reach statistical significance. The CDS did not significantly increase cancer-screening rates. Exploratory analyses suggest a deeper understanding of how SDM and CDS interact to affect cancer prevention decisions is needed. Trial registration: ClinicalTrials.gov ID: NCT02986230, December 6, 2016.

Nursing Attitudes and Practices in Code Documentation Employing a New Electronic Health Record.

Based on feedback from nurses regarding the challenges of code documentation following the implementation of a new electronic health record (EHR), we sought to better understand inpatient nurse attitudes and practices in code documentation and to identify opportunities for improvement. An anonymous electronic survey was distributed to all inpatient nurses working at a single, 999-bed, university-based, and quaternary care hospital. Participation in the study was voluntary and consent was implied by survey completion. Overall, 432 (14%) of 3,121 inpatient nurses completed the survey. While nearly 80% of respondents indicated feeling very comfortable using computers for personal use, only 5% felt very comfortable navigating the EHR to document codes in real time. While 53% had documented codes in the new EHR, most admitted to documenting on paper with retroactive entry into the EHR. About 25% reported having participated in a code that was not accurately documented in the new EHR. All respondents provided specific suggestions for improving the EHR interface, and over 90% expressed interest in having opportunities to practice code documentation using simulated code events. Despite completion of training modules in code documentation in a new EHR, many inpatient nurses in a single institution feel uncomfortable documenting codes directly into the EHR, and some question the accuracy of this documentation. Improving EHR functionality based on specific recommendations from end-users coupled with more practice documenting simulated codes may ease EHR navigation, leading to nurses' acceptance of the EHR tool, more accurate and efficient documentation, greater nurse satisfaction and more appropriate quality improvement measures.

Effectiveness of a Nurse-Led Multidisciplinary Intervention vs Usual Care on Advance Care Planning for Vulnerable Older Adults in an Accountable Care Organization

Advance care planning (ACP), especially among vulnerable older adults, remains underused in primary care. Additionally, many ACP initiatives fail to integrate directly into the electronic health record (EHR), resulting in infrequent and disorganized documentation. To determine whether a nurse navigator-led ACP pathway combined with a health care professional-facing EHR interface improves the occurrence of ACP discussions and their documentation within the EHR. This was a randomized effectiveness trial using the Zelen design, in which patients are randomized prior to informed consent, with only those randomized to the intervention subsequently approached to provide informed consent. Randomization began November 1, 2018, and follow-up concluded November 1, 2019. The study population included patients 65 years or older with multimorbidity combined with either cognitive or physical impairments, and/or frailty, assessed from 8 primary care practices in North Carolina. Participants were randomized to either a nurse navigator-led ACP pathway (n = 379) or usual care (n = 380). The primary outcome was documentation of a new ACP discussion within the EHR. Secondary outcomes included the usage of ACP billing codes, designation of a surrogate decision maker, and ACP legal form documentation. Exploratory outcomes included incident health care use. Among 759 randomized patients (mean age 77.7 years, 455 women [59.9%]), the nurse navigator-led ACP pathway resulted in a higher rate of ACP documentation (42.2% vs 3.7%, P < .001) as compared with usual care. The ACP billing codes were used more frequently for patients randomized to the nurse navigator-led ACP pathway (25.3% vs 1.3%, P < .001). Patients randomized to the nurse navigator-led ACP pathway more frequently designated a surrogate decision maker (64% vs 35%, P < .001) and completed ACP legal forms (24.3% vs 10.0%, P < .001). During follow-up, the incidence of emergency department visits and inpatient hospitalizations was similar between the randomized groups (hazard ratio, 1.17; 95% CI, 0.92-1.50). A nurse navigator-led ACP pathway integrated with a health care professional-facing EHR interface increased the frequency of ACP discussions and their documentation. Additional research will be required to evaluate whether increased EHR documentation leads to improvements in goal-concordant care. ClinicalTrials.gov Identifier: NCT03609658.

A Practical Guide for Navigating the Design, Build, and Clinical Integration of Electronic Patient-Reported Outcomes in the Radiation Oncology Department

The development and integration of electronic patient-reported outcomes (ePROs) into the radiation oncology clinic workflow provide novel opportunities, accompanied by unique design considerations and implementation challenges. The processes required for implementation of ePROs are entirely distinct from standard paper-based surveys, with the majority of time devoted to conception and design before initiating questionnaire build, detailed workflow process mapping including development of new workflows, comprehensive communication of the vision between providers and the information technology team, and quality assurance. Based on our experience with implementation of ePROs in our radiation oncology department, we developed a stepwise framework for approaching ePRO conceptual design, build, workflow integration, and the electronic health record interface. Here, we provide a guide for the numerous considerations, decision points, and solutions associated with the implementation of ePROs in the radiation oncology department setting. Although various ePRO tools and electronic health record capabilities impose different requirements, opportunities, and limitations, the conceptual processes and many of the electronic build considerations are broadly applicable.

Physician Suitability of an EHR Interface for Depicting Ecological Symptoms Derived From a Smartwatch

Physicians desire an electronic health record (EHR) interface to visualize data from mobile devices in rapid and unobtrusive manner. We developed an EHR interface after performing semi-structured qualitative interviews with 12 physicians. These interviews led to creating an EHR graphical interface that allowed seamless viewing of the top ranked patient attributes of pain, falls, hydration and mobility patterns. Physicians then evaluated the interface using the International Standard ISO 9241, Part 110— a survey to evaluate the design of human computer interactions. The median response for each of domains were as follows: suitability = 18.5 out of 24 (range: 9-24); conformity=34 out of 40 (range: 16-40); self-descriptiveness=25 out of 32 (range: 13-31); controllability=19.5 out of 24 (range: 8-23); error tolerance=5 out of 8 (range: 1-8). The median total score of 111.5 out of 140 (range: 88-128) indicated a relatively high level of usability of the EHR interface depicting smartwatch data.

Smart Wearables in the Lens of Aging: Results From the ROAMM Study

Continuous, long-term monitoring with remote capabilities using wearable technology is ideal for capturing information about patient/participant symptoms synced to sensor-based information. The Real-time Online Assessment and Mobility Monitor (ROAMM) is a smartwatch framework configured to collect data in free-living settings from both sensor-based (location and movement) and responses to symptom notifications through a visual display. The symposium presents the overall framework and preliminary findings from a demonstration study in older adults with knee osteoarthritis. Karnati will present the general framework of ROAMM explaining the data flow from the smartwatch to end users (clinicians and research). He will highlight components in the design that makes the framework unique and highly flexible to serve different studies with different research questions. Rouzaud evaluated satisfaction, usability and compliance wearing a smartwatch and using the ROAMM app. Participants were compliant to ecological prompts about pain, fatigue and mood three times a day (82.5% compliance rate). Additionally, > 70% reported being satisfied with the function/usability and comfort with using ROAMM and wearing the smartwatch. Mardini examined the temporal relationship between ecological pain and derived life-space mobility features from Global Positioning System coordinates. Results suggested that higher level of knee pain in older adults was associated with lower life-space mobility. Manini examined physician perception towards an electronic health record (EHR) graphical interface of top ranked patient attributes of pain, falls, hydration and mobility patterns. Results indicated a relatively high level of usability of the EHR interface depicting smartwatch data.

Impact of Electronic Health Record Interface Design on Unsafe Prescribing of Ciclosporin, Tacrolimus, and Diltiazem: Cohort Study in English National Health Service Primary Care.

BackgroundIn England, national safety guidance recommends that ciclosporin, tacrolimus, and diltiazem are prescribed by brand name due to their narrow therapeutic windows and, in the case of tacrolimus, to reduce the chance of organ transplantation rejection. Various small studies have shown that changes to electronic health record (EHR) system interfaces can affect prescribing choices.ObjectiveOur objectives were to assess variation by EHR systems in breach of safety guidance around prescribing of ciclosporin, tacrolimus, and diltiazem, and to conduct user-interface research into the causes of such breaches.MethodsWe carried out a retrospective cohort study using prescribing data in English primary care. Participants were English general practices and their respective EHR systems. The main outcome measures were (1) the variation in ratio of safety breaches to adherent prescribing in all practices and (2) the description of observations of EHR system usage.ResultsA total of 2,575,411 prescriptions were issued in 2018 for ciclosporin, tacrolimus, and diltiazem (over 60 mg); of these, 316,119 prescriptions breached NHS guidance (12.27%). Breaches were most common among users of the EMIS EHR system (breaches in 18.81% of ciclosporin and tacrolimus prescriptions and in 17.99% of diltiazem prescriptions), but breaches were observed in all EHR systems.ConclusionsDesign choices in EHR systems strongly influence safe prescribing of ciclosporin, tacrolimus, and diltiazem, and breaches are prevalent in general practices in England. We recommend that all EHR vendors review their systems to increase safe prescribing of these medicines in line with national guidance. Almost all clinical practice is now mediated through an EHR system; further quantitative research into the effect of EHR system design on clinical practice is long overdue.

Assessing the Usability of Medication Information Layouts in a Home Healthcare Electronic Health Record

A study was conducted to investigate how well the design of an electronic health record (EHR) supported the shared understanding of medication-related information between home healthcare team members. EHR data from a home healthcare admission visit was obtained and reviewed for medication-related entries. Entries were characterized based on their location within the EHR interface. The analysis identified 50 different medication-related entries which were distributed across 18 EHR sections. The results highlight opportunities to improve the EHR design to better support a shared understanding between healthcare team members of medication-related information, and patient information more generally.

Resident Identified Violations of Usability Heuristic Principles in Local Electronic Health Records

Difficulties with the electronic health record (EHR) are known to be associated with high physician burnout. Usability studies can evaluate and identify usability issues with the EHR at the end user level. This study was conducted to determine physician perspectives and usability issues of local EHR systems. Survey and focus group methodology were employed. Participants were resident physicians who were members of a resident council in the Midwest. Survey data collected included demographics and perceptions. Focus group data included participants identification of usability principle violations and potential impact to end user. There were 15 survey respondents (across 11 residency programs) who reported use of three different EHR systems: Cerner®, Meditech, and Computerized Patient Record System (CPRS). Satisfaction was greatest with Cerner® as well as most reported level of experience. Focus group respondents reported a variety of usability violations which lead to provider confusion, increased time, alert fatigue, and potential patient safety issues. Violations of usability principles can result in disruption of physician workflow processes and lead to increased documentation time as well as fatigue. These issues have been associated with increased provider burnout. Continuous usability assessments should be conducted at the end user level to promote the development of more effective and efficient EHR interface designs.

Assessment of Electronic Health Record Search Patterns and Practices by Practitioners in a Large Integrated Health Care System

The electronic health record (EHR) is a source of practitioner dissatisfaction in part because of challenges with information retrieval. To improve data accessibility, a better understanding of practitioners' information needs within individual patient records is needed. To assess EHR users' searches using data from a large integrated health care system. This retrospective cross-sectional analysis used EHR search data from Kaiser Permanente Northern California, an integrated health care delivery system with more than 4.4 million members. Users' EHR search activity data were obtained from April 1, 2018, to May 15, 2019. Search term frequency was grouped by user and practitioner types. Network analyses were performed of co-occurring search terms within a single search episode, and centrality measures for search terms (degree and betweenness centrality) were calculated. A total of 12 313 047 search activities (including 4 328 330 searches and 7 984 717 result views) conducted by 34 735 unique users within 977 160 unique patient EHRs were identified. In aggregate, users searched for 208 374 unique search terms and conducted a median of 4 searches (interquartile range, 1-28 searches). Of all 97 367 active EHR users, 34 735 (35.7%) conducted at least 1 search. However, of all 12 968 active EHR physician users, 9801 (75.6%) conducted at least 1 search, and of all 1908 active pharmacist users, 1402 (73.5%) conducted at least 1 search. The top 3 most commonly searched terms were statin (75 017 searches [1.7%]), colonoscopy (73 545 [1.7%]), and pft (54 990 [1.3%]). However, wide variation in top searches were noted across practitioner groups. Terms searched most often with another term in a single linked search episode included statin, lisinopril, colonoscopy, gabapentin, and aspirin. Although physicians and pharmacists were the most active users of EHR searches, search volume and frequently searched terms varied considerably by and within user role. Further customization of the EHR interface may help leverage users' search content and patterns to improve targeted information retrieval.

A Three-part Quality Improvement Initiative to Increase Patient Satisfaction and Reduce Appointment Time.

PediPlace, a busy pediatric not-for-profit clinic in Lewisville, Tex., struggles with prolonged patient wait times. This quality improvement (QI) project aimed to reduce appointment lengths and improve the patient experience. PediPlace introduced 3 interventions: improved patient tracking to measure timing on the electronic health record interface, elimination of script repetition between medical assistants and providers, and patient art kits. From over 2,000 surveys indicated that patients were more satisfied; the percentage of negative survey comments decreased from 20% in 2017 and 2018 to under 10% in 2019. The overall rating of the clinic rose from 3.8 to 4.75 (on a scale of 1-5) after QI interventions as well. The number of patients not checked out declined from 49 errors in October-December 2018 to 25 errors in January-March 2019, indicating that this part of the initiative was initially successful. However, subsequent months experienced higher error rates. Analysis of over 20,000 appointments from June 2018 to July 2019 showed that appointment length did not change after interventions. There was no difference in appointment lengths between Hispanic/Latino patients and other patients, and an encouraging finding that suggests PediPlace providers are effective bilingual communicators. Furthermore, anecdotal evidence indicated that the art kits were positively received. The interventions appeared to improve the patient experience but did not impact appointment length. PediPlace plans to continue QI initiatives in the future.

Working with patients and the public to design an electronic health record interface: a qualitative mixed-methods study

BackgroundEnabling patients to be active users of their own medical records may promote the delivery of safe, efficient care across settings. Patients are rarely involved in designing digital health record systems which may make them unsuitable for patient use. We aimed to develop an evidence-based electronic health record (EHR) interface and participatory design process by involving patients and the public.MethodsParticipants were recruited to multi-step workshops involving individual and group design activities. A mixture of quantitative and qualitative questionnaires and observational methods were used to collect participant perspectives on interface design and feedback on the workshop design process.Results48 recruited participants identified several design principles and components of a patient-centred electronic medical record interface. Most participants indicated that an interactive timeline would be an appropriate way to depict a medical history. Several key principles and design components, including the use of specific colours and shapes for clinical events, were identified. Participants found the workshop design process utilised to be useful, interesting, enjoyable and beneficial to their understanding of the challenges of information exchange in healthcare.ConclusionPatients and the public should be involved in EHR interface design if these systems are to be suitable for use by patient-users. Workshops, as used in this study, can provide an engaging format for patient design input. Design principles and components highlighted in this study should be considered when patient-facing EHR design interfaces are being developed.

Physicians’ gender and their use of electronic health records: findings from a mixed-methods usability study

Physician burnout associated with EHRs is a major concern in health care. A comprehensive assessment of differences among physicians in the areas of EHR performance, efficiency, and satisfaction has not been conducted. The study sought to study relationships among physicians' performance, efficiency, perceived workload, satisfaction, and usability in using the electronic health record (EHR) with comparisons by age, gender, professional role, and years of experience with the EHR. Mixed-methods assessments of the medical intensivists' EHR use and perceptions. Using simulated cases, we employed standardized scales, performance measures, and extensive interviews. NASA Task Load Index (TLX), System Usability Scale (SUS), and Questionnaire on User Interface Satisfaction surveys were deployed. The study enrolled 25 intensive care unit (ICU) physicians (11 residents, 9 fellows, 5 attendings); 12 (48%) were men, with a mean age of 33 (range, 28-55) years and a mean of 4 (interquartile range, 2.0-5.5) years of Epic experience. Overall task performance scores were similar for men (90% ± 9.3%) and women (92% ± 4.4%), with no statistically significant differences (P = .374). However, female physicians demonstrated higher efficiency in completion time (difference = 7.1 minutes; P = .207) and mouse clicks (difference = 54; P = .13). Overall, men reported significantly higher perceived EHR workload stress compared with women (difference = 17.5; P < .001). Men reported significantly higher levels of frustration with the EHR compared with women (difference = 33.15; P < .001). Women reported significantly higher satisfaction with the ease of use of the EHR interface than men (difference = 0.66; P =.03). The women's perceived overall usability of the EHR is marginally higher than that of the men (difference = 10.31; P =.06). Among ICU physicians, we measured significant gender-based differences in perceived EHR workload stress, satisfaction, and usability-corresponding to objective patterns in EHR efficiency. Understanding the reasons for these differences may help reduce burnout and guide improvements to physician performance, efficiency, and satisfaction with EHR use. Mixed-methods assessments of the medical intensivists' EHR use and perceptions. Using simulated cases, we employed standardized scales, performance measures, and extensive interviews.

Performance Measurement and the Kidney Quality Improvement Registry.

In the 2015 Medicare Access and CHIP Reauthorization Act, the Centers for Medicare and Medicaid Services (CMS) began the transition to a value-based payment system through implementation of the Quality Payment Program (QPP) ([1][1]). Representing a paradigm shift away from traditional volume-based