Search

Background: Medical scribes have been utilized to reduce electronic health record (EHR) associated documentation burden. Although evidence suggests benefits to scribes, no large-scale studies have quantitatively evaluated scribe impact on physician documentation across clinical settings. This study aimed to evaluate the effect of scribes on physician EHR documentation behaviors and performance., Methods: This retrospective cohort study used EHR audit log data from a large academic health system to evaluate clinical documentation for all ambulatory encounters between January 2014 and December 2019 to evaluate the effect of scribes on physician documentation behaviors. Scribe services were provided on a first-come, first-served basis on physician request. Based on a physician's scribe use, encounters were grouped into 3 categories: never using a scribe, prescribe (before scribe use), or using a scribe. Outcomes included chart closure time, the proportion of delinquent charts, and charts closed after-hours., Results: Three hundred ninety-five physicians (23% scribe users) across 29 medical subspecialties, encompassing 1,132,487 encounters, were included in the analysis. At baseline, scribe users had higher chart closure time, delinquent charts, and after-hours documentation than physicians who never used scribes. Among scribe users, the difference in outcome measures postscribe compared with baseline varied, and using a scribe rarely resulted in outcome measures approaching a range similar to the performance levels of nonusing physicians. In addition, there was variability in outcome measures across medical specialties and within similar subspecialties., Conclusion: Although scribes may improve documentation efficiency among some physicians, not all will improve EHR-related documentation practices. Different strategies may help to optimize documentation behaviors of physician-scribe dyads and maximize outcomes of scribe implementation., Competing Interests: Conflict of interest: The authors of this manuscript declared that they have no conflicts of interest, financial or otherwise., (© Copyright 2024 by the American Board of Family Medicine.)

Background: The use of electronic health records has generated an increase in after-hours and weekend work for providers. To alleviate this situation, the hiring of medical scribes has rapidly increased. Given the lack of scribe industry standards and the wide variance in how providers and scribes work together, it could potentially create new patient safety-related risks., Objective: The purpose of this paper was to identify how providers can optimize the effective and safe use of scribes., Design: The research team conducted a secondary analysis of qualitative data where we reanalyzed data from interview transcripts, field notes, and transcribed group discussions generated by four previous projects related to medical scribes., Participants: Purposively selected participants included subject matter experts, providers, informaticians, medical scribes, medical assistants, administrators, social scientists, medical students, and qualitative researchers., Approach: The team used NVivo12 to assist with the qualitative analysis. We used a template method followed by word queries to identify an optimum level of scribe utilization. We then used an inductive interpretive theme-generation process., Key Results: We identified three themes: (1) communication aspects, (2) teamwork efforts, and (3) provider characteristics. Each theme contained specific practices so providers can use scribes safely and in a standardized way., Conclusion: We utilized a secondary qualitative data analysis methodology to develop themes describing how providers can optimize their use of scribes. This new knowledge could increase provider efficiency and safety and be incorporated into further and future training tools for them., (© 2022. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)

Background: Diagnostic errors are a major source of patient harm, most of which are caused by cognitive errors and biases. Despite research showing the relationship between software systems and cognitive processes, the impact of the electronic health record (EHR) on diagnostic error remains unknown., Methods: We conducted a scoping review of the scientific literature to (1) survey the association between aspects of the EHR and diagnostic error, and (2) through a human-systems integration lens, identify the types of EHR issues and their impact on the stages of the diagnostic process., Results: We analyzed 11 research articles for the relationship between EHR use and diagnostic error. These articles highlight specific technical, usability, and workflow issues with the EHR that pose risks for diagnostic error at every stage of the diagnostic process., Discussion: Although technical problems such as EHR interoperability and data integrity pose critical issues for the diagnostic process, usability and workflow issues such as poor display design, and inability to track test results also hamper clinicians' ability to track, process, and act in the diagnostic process. Current research methods have limited coverage over clinical settings, are not standardized, and rarely include measures of patient harm., Conclusions: The available evidence shows that EHRs pose risks for diagnostic error throughout the diagnostic process, with most issues involving their incompatibility with providers' cognitive processing. A structured and systematic model of collecting and reporting on these errors is needed to understand how the EHR shapes the diagnostic process and improve diagnostic accuracy., Competing Interests: The authors disclose no conflict of interest., (Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.)

Purpose: A study was conducted using high-fidelity electronic health record (EHR)-based simulations with incorporated eye tracking to understand the workflow of critical care pharmacists within the EHR, with specific attention to the data elements most frequently viewed., Methods: Eight critical care pharmacists were given 25 minutes to review 3 simulated intensive care unit (ICU) charts deployed in the simulation instance of the EHR. Using monitor-based eye trackers, time spent reviewing screens, clinical information accessed, and screens used to access specific information were reviewed and quantified to look for trends., Results: Overall, pharmacists viewed 25.5 total and 15.1 unique EHR screens per case. The majority of time was spent looking at screens focused on medications, followed by screens displaying notes, laboratory values, and vital signs. With regard to medication data, the vast majority of screen visitations were to view information on opioids/sedatives and antibiotics. With regard to laboratory values, the majority of views were focused on basic chemistry and hematology data. While there was significant variance between pharmacists, individual navigation patterns remained constant across cases., Conclusion: The study results suggest that in addition to medication information, laboratory data and clinical notes are key focuses of ICU pharmacist review of patient records and that navigation to multiple screens is required in order to view these data with the EHR. New pharmacy-specific EHR interfaces should consolidate these elements within a primary interface., (© American Society of Health-System Pharmacists 2022. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Objective: While the use of medical scribes is rapidly increasing, there are not widely accepted standards for their training and duties. Because they use electronic health record systems to support providers, inadequately trained scribes can increase patient safety related risks. This paper describes the development of desired core knowledge, skills, and attitudes (KSAs) for scribes that provide the curricular framework for standardized scribe training., Materials and Methods: A research team used a sequential mixed qualitative methods approach. First, a rapid ethnographic study of scribe activities was performed at 5 varied health care organizations in the United States to gather qualitative data about knowledge, skills, and attitudes. The team's analysis generated preliminary KSA related themes, which were further refined during a consensus conference of subject-matter experts. This was followed by a modified Delphi study to finalize the KSA lists., Results: The team identified 90 descriptions of scribe-related KSAs and subsequently refined, categorized, and prioritized them for training development purposes. Three lists were ultimately defined as: (1) Hands-On Learning KSA list with 47 items amenable to simulation training, (2) Didactic KSA list consisting of 32 items appropriate for didactic lecture teaching, and (3) Prerequisite KSA list consisting of 11 items centered around items scribes should learn prior to being hired or soon after being hired., Conclusion: We utilized a sequential mixed qualitative methodology to successfully develop lists of core medical scribe KSAs, which can be incorporated into scribe training programs., (© The Author(s) 2022. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Working with scribes can reduce provider documentation time, but few studies have examined how scribes affect clinical notes. In this retrospective cross-sectional study, we examine over 50,000 outpatient progress notes written with and without scribe assistance by 70 providers across 27 specialties in 2017-2018. We find scribed notes were consistently longer than those written without scribe assistance, with most additional text coming from note templates. Scribed notes were also more likely to contain certain templated lists, such as the patient's medications or past medical history. However, there was significant variation in how working with scribes affected a provider's mix of typed, templated, and copied note text, suggesting providers adapt their documentation workflows to varying degrees when working with scribes. These results suggest working with scribes may contribute to note bloat, but that providers' individual documentation workflows, including their note templates, may have a large impact on scribed note contents., (©2018 AMIA - All rights reserved.)

Background: With the use of electronic health records (EHRs) increasing and causing unintended negative consequences, the medical scribe profession has burgeoned, but it has yet to be regulated. The purpose of this study was to describe scribe workflow as well as identify the threats and opportunities for the future of the scribe industry., Methods: The first phase of the study used ethnographic methods consisting of interviews and observations by a multi-disciplinary team of researchers at five United States sites. In April 2019, a two-day conference of experts representing different stakeholder perspectives was held to discuss the results from site visits and to predict the future of medical scribing. An interpretive content analysis approach was used to discover threats and opportunities for the future of medical scribes., Results: Threats facing the medical scribe industry were related to changes in the documentation model, EHR usability, different payment structures, the need to acquire disparate data during clinical encounters, and workforce-related changes relevant to the scribing model. Simultaneously, opportunities for medical scribing in the future included extension of their role to include workflow analysis, acting as EHR-related subject-matter-experts, and becoming integrated more effectively into the clinical care delivery team. Experts thought that if EHR usability increases, the need for medical scribes might decrease. Additionally, the scribe role could be expanded to allow scribes to document more or take on more informatics-related tasks. The experts also anticipated an increased use of alternative models of scribing, like tele-scribing., Conclusion: Threats and opportunities for medical scribing were identified. Many experts thought that if the scribe role could be expanded to allow scribes to document more or take on more informatics activities, it would be beneficial. With COVID-19 continuing to change workflows, it is critical that medical scribes receive standardized training as tele-scribing continues to grow in popularity and new roles for scribes as medical team members are identified.

Objective: Hiring medical scribes to document in the electronic health record (EHR) on behalf of providers could pose patient safety risks because scribes often have no clinical training. The aim of this study was to investigate the effect of scribes on patient safety. This included identification of best practices to assure that scribe use of the EHR is not a patient safety risk., Materials and Methods: Using a sociotechnical framework and the Rapid Assessment Process, we conducted ethnographic data gathering at 5 purposively selected sites. Data were analyzed using a grounded inductive/hermeneutic approach., Results: We conducted site visits at 12 clinics and emergency departments within 5 organizations in the US between 2017 and 2019. We did 76 interviews with 81 people and spent 80 person-hours observing scribes working with providers. Interviewees believe and observations indicate that scribes decrease patient safety risks. Analysis of the data yielded 12 themes within a 4-dimension sociotechnical framework. Results about the "technical" dimension indicated that the EHR is not considered overly problematic by either scribes or providers. The "environmental" dimension included the changing scribe industry and need for standards. Within the "personal" dimension, themes included the need for provider diligence and training when using scribes. Finally, the "organizational" dimension highlighted the positive effect scribes have on documentation efficiency, quality, and safety., Conclusion: Participants perceived risks related to the EHR can be less with scribes. If healthcare organizations and scribe companies follow best practices and if providers as well as scribes receive training, safety can actually improve., (© The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association.)

Because of increased electronic health record use, many organizations are hiring medical scribes as a way to alleviate provider burnout and increase clinical efficiency. The providers and scribes have unique relationships and thus, this study's purpose was to examine the scribe-provider interaction/relationship through the perspectives of scribes, providers, and administrators utilizing qualitative research techniques. Participants included 81 clinicians (30 providers, 27 scribes, and 24 administrators) across five sites. Analysis of the scribe-provider interaction data generated six subthemes: characteristics of an ideal scribe, characteristics of a good provider, provider variability, quality of the scribe-provider relationship, negative side of the scribe-provider relationship, and evaluation and supervision of scribes. Future research should focus on additional facets of the scribe-provider relationship including optimal ergonomic considerations to allow for scribes and providers to work together harmoniously., (©2019 AMIA - All rights reserved.)

Objectives: The intensive care unit (ICU) is a complex environment in terms of data density and alerts, with alert fatigue, a recognized barrier to patient safety. The Electronic Health Record (EHR) is a major source of these alerts. Although studies have looked at the incidence and impact of active EHR alerts, little research has studied the impact of passive data alerts on patient safety., Method: We reviewed the EHR database of 100 consecutive ICU patient records; within, we assessed the number of values flagged as either as abnormal or "panic" across all data domains. We used data from our previous studies to determine the 10 most commonly visited screens while preparing for rounds to determine the total number of times, an abnormal value would be expected to be viewed., Results: There were 64.1 passive alerts/patient per day, of which only 4.5% were panic values. When accounting for the commonly used EHR screens by providers, this was increased to 165.3 patient/d. Laboratory values comprised 71% of alerts, with the remaining occurring in vitals (25%) and medications (6%). Despite the high prevalence of alerts, certain domains including ventilator settings (0.04 flags/d) were rarely flagged., Conclusions: The average ICU patient generates a large number of passive alerts daily, many of which may be clinically irrelevant. Issues with EHR design and use likely further magnify this problem. Our results establish the need for additional studies to understand how a high burden of passive alerts impact clinical decision making and how to design passive alerts to optimize their clinical utility.

Objectives: Incomplete patient data, either due to difficulty gathering and synthesizing or inappropriate data filtering, can lead clinicians to misdiagnosis and medical error. How completely ICU interprofessional rounding teams appraise the patient data set that informs clinical decision-making is unknown. This study measures how frequently physician trainees omit data from prerounding notes ("artifacts") and verbal presentations during daily rounds., Design: Observational study., Setting: Tertiary academic medical ICU with an established electronic health record and where physician trainees are the primary presenters during daily rounds., Subjects: Presenters (medical student or resident physician), interprofessional rounding team., Interventions: None., Measurements and Main Results: We quantified the amount and types of patient data omitted from photocopies of physician trainees' artifacts and audio recordings of oral ICU rounds presentations when compared with source electronic health record data. An audit of 157 patient presentations including 6,055 data elements across nine domains revealed 100% of presentations contained omissions. Overall, 22.9% of data were missing from artifacts and 42.4% from presentations. The interprofessional team supplemented only 4.1% of additional available data. Frequency of trainee data omission varied by data type and sociotechnical factors. The strongest predictor of trainee verbal omissions was a preceding failure to include the data on the artifact. Passive data gathering via electronic health record macros resulted in extremely complete artifacts but paradoxically predicted greater likelihood of verbal omission when compared with manual notation. Interns verbally omitted the most data, whereas medical students omitted the least., Conclusions: In an academic rounding model reliant on trainees to preview and select data for presentation during ICU rounds, verbal appraisal of patient data was highly incomplete. Additional trainee oversight and education, improved electronic health record tools, and novel academic rounding paradigms are needed to address this potential source of medical error.

Objectives: The electronic health record is a primary source of information for all professional groups participating in ICU rounds. We previously demonstrated that, individually, all professional groups involved in rounds have significant blind spots in recognition of patient safety issues in the electronic health record. However, it is unclear how team dynamics impacts identification and verbalization of viewed data. Therefore, we created an ICU rounding simulation to assess how the interprofessional team recognized and reported data and its impact on decision-making., Design: Each member of the ICU team reviewed a simulated ICU chart in the electronic health record which contained embedded patient safety issues. The team conducted simulated rounds according to the ICU's existing rounding script and was assessed for recognition of safety issues., Setting: Academic medical center., Subjects: ICU residents, nurses, and pharmacists., Intervention: None., Measurements and Main Results: Twenty-eight teams recognized 68.6% of safety issues with only 50% teams having the primary diagnosis in their differential. Individually, interns, nurses, and pharmacists recognized 30.4%, 15.6%, and 19.6% of safety items, respectively. However, there was a negative correlation between the intern's performance and the nurse's or the pharmacist's performance within a given team. The wide variance in recognition of data resulted in wide variance in orders. Overall, there were 21.8 orders requested and 21.6 orders placed per case resulting in 3.6 order entry inconsistencies/case. Between the two cases, there were 145 distinct orders place with 43% being unique to a specific team and only 2% placed by all teams., Conclusions: Although significant blind spots exist in the interprofessional team's ability to recognize safety issues in the electronic health record, the inclusion of other professional groups does serve as a partial safety net to improve recognition. Electronic health record-based, ICU rounding simulations can serve as a test-bed for innovations in ICU rounding structure and data collection.

A group of informatics experts in simulation, biomedical informatics, patient safety, medical education, and human factors gathered at Corbett, Oregon on April 30 and May 1, 2015. Their objective: to create a consensus statement on best practices for the use of electronic health record (EHR) simulations in education and training, to improve patient safety, and to outline a strategy for future EHR simulation work. A qualitative approach was utilized to analyze data from the conference and generate recommendations in five major categories: (1) Safety, (2) Education and Training, (3) People and Organizations, (4) Usability and Design, and (5) Sociotechnical Aspects.

Objectives: Accurately communicating patient data during daily ICU rounds is critically important since data provide the basis for clinical decision making. Despite its importance, high fidelity data communication during interprofessional ICU rounds is assumed, yet unproven. We created a robust but simple methodology to measure the prevalence of inaccurately communicated (misrepresented) data and to characterize data communication failures by type. We also assessed how commonly the rounding team detected data misrepresentation and whether data communication was impacted by environmental, human, and workflow factors., Design: Direct observation of verbalized laboratory data during daily ICU rounds compared with data within the electronic health record and on presenters' paper prerounding notes., Setting: Twenty-six-bed academic medical ICU with a well-established electronic health record., Subjects: ICU rounds presenter (medical student or resident physician), interprofessional rounding team., Interventions: None., Measurements and Main Results: During 301 observed patient presentations including 4,945 audited laboratory results, presenters used a paper prerounding tool for 94.3% of presentations but tools contained only 78% of available electronic health record laboratory data. Ninty-six percent of patient presentations included at least one laboratory misrepresentation (mean, 6.3 per patient) and 38.9% of all audited laboratory data were inaccurately communicated. Most misrepresentation events were omissions. Only 7.8% of all laboratory misrepresentations were detected., Conclusion: Despite a structured interprofessional rounding script and a well-established electronic health record, clinician laboratory data retrieval and communication during ICU rounds at our institution was poor, prone to omissions and inaccuracies, yet largely unrecognized by the rounding team. This highlights an important patient safety issue that is likely widely prevalent, yet underrecognized., Competing Interests: Dr. Artis disclosed other support from the Agency for Healthcare Research and Quality (AHRQ). Her institution received funding from the AHRQ. Dr. Mohan’s institution received funding from the AHRQ. Dr. Gold’s institution received funding from the AHRQ. Dr. Dyer has disclosed that he does not have any potential conflicts of interest.

Little is known about how existing electronic health records (EHRs) influence the practice of pediatric medicine. A total of 808 pediatricians participated in a survey about workflows using the EHR. The EHR was the most commonly used source of initial patient information. Seventy-two percent reported requiring between 2 and 10 minutes to complete an initial review of the EHR. Several moderately severe information barriers were reported regarding the display of information in the EHR. Pediatricians acquire information about new patients from EHRs more often than any other source. EHRs play a critical role in pediatric care but require improved design and efficiency.

Numerous reports describe unintended consequences of electronic health record implementation. Having previously described physicians' failures to recognize patient safety issues within our electronic health record simulation environment, we now report on our use of eye and screen-tracking technology to understand factors associated with poor error recognition during an intensive care unit-based electronic health record simulation. We linked performance on the simulation to standard eye and screen-tracking readouts including number of fixations, saccades, mouse clicks and screens visited. In addition, we developed an overall Composite Eye Tracking score which measured when, where and how often each safety item was viewed. For 39 participants, the Composite Eye Tracking score correlated with performance on the simulation (p = 0.004). Overall, the improved performance was associated with a pattern of rapid scanning of data manifested by increased number of screens visited (p = 0.001), mouse clicks (p = 0.03) and saccades (p = 0.004). Eye tracking can be successfully integrated into electronic health record-based simulation and provides a surrogate measure of cognitive decision making and electronic health record usability., (© The Author(s) 2015.)

During interprofessional intensive care unit (ICU) rounds each member of the interprofessional team is responsible for gathering and interpreting information from the electronic health records (EHR) to facilitate effective team decision-making. This study was conducted to determine how each professional group reviews EHR data in preparation for rounds and their ability to identify patient safety issues. Twenty-five physicians, 29 nurses, and 20 pharmacists participated. Individual participants were given verbal and written sign-out and then asked to review a simulated record in our institution's EHR, which contained 14 patient safety items. After reviewing the chart, subjects presented the patient and the number of safety items recognised was recorded. About 40%, 30%, and 26% of safety issues were recognised by physicians, nurses, and pharmacists, respectively (p = 0.0006) and no item recognised 100% of the time. There was little overlap between the three groups with only 50% of items predicted to be recognised 100% of the time by the team. Differential recognition was associated with marked differences in EHR use, with only 3/152 EHR screens utilised by all three groups and the majority of screens used exclusively only by one group. There were significant and non-overlapping differences in individual profession recognition of patient safety issues in the EHR. Preferential identification of safety issues by certain professional groups may be attributed to differences in EHR use. Future studies will be needed to determine if shared decision-making during rounds can improve recognition of safety issues.

Background With the widespread adoption of electronic health records (EHRs), there is a growing awareness of problems in EHR training for new users and subsequent problems with the quality of information present in EHR-generated progress notes. By standardizing the case, simulation allows for the discovery of EHR patterns of use as well as a modality to aid in EHR training. Objective To develop a high-fidelity EHR training exercise for internal medicine interns to understand patterns of EHR utilization in the generation of daily progress notes. Methods Three months after beginning their internship, 32 interns participated in an EHR simulation designed to assess patterns in note writing and generation. Each intern was given a simulated chart and instructed to create a daily progress note. Notes were graded for use of copy-paste, macros, and accuracy of presented data. Results A total of 31 out of 32 interns (97%) completed the exercise. There was wide variance in use of macros to populate data, with multiple macro types used for the same data category. Three-quarters of notes contained either copy-paste elements or the elimination of active medical problems from the prior days' notes. This was associated with a significant number of quality issues, including failure to recognize a lack of deep vein thrombosis prophylaxis, medications stopped on admission, and issues in prior discharge summary. Conclusions Interns displayed wide variation in the process of creating progress notes. Additional studies are being conducted to determine the impact EHR-based simulation has on standardization of note content.

Despite federal incentives for adoption of electronic health records (EHRs), surveys have shown that EHR use is less common among specialty physicians than generalists. Concerns have been raised that current-generation EHR systems are inadequate to meet the unique information gathering needs of specialists. This study sought to identify whether information gathering needs and EHR usage patterns are different between specialists and generalists, and if so, to characterize their precise nature. We found that specialists and generalists have significantly different perceptions of which elements of the EHR are most important and how well these systems are suited to displaying clinical information. Resolution of these disparities could have implications for clinical productivity and efficiency, patient and physician satisfaction, and the ability of clinical practices to achieve Meaningful Use incentives.

Despite the rapid growth of EHR use, there are currently no standardized protocols for EHR training. A simulation EHR environment may offer significant advantages with respect to EHR training, but optimizing the training paradigm requires careful consideration of the simulation model itself, and how it is to be deployed during training. In this paper, we propose Six Principles that are EHR-agnostic and provide the framework for the development of an intelligent simulation model that can optimize EHR training by replicating real-world clinical conditions and appropriate cognitive loads.

Modern EHR systems are complex, and end-user behavior and training are highly variable. The need for clinicians to access key clinical data is a critical patient safety issue. This study used a mixed methods approach employing a high-fidelity EHR simulation environment, eye and screen tracking, surveys, and semi-structured interviews to characterize typical EHR usage by hospital physicians (hospitalists) as they encounter a new patient. The main findings were: 1) There were strong similarities across the groups in the information types the physicians looked at most frequently, 2) While there was no overall difference in case duration between the groups, we observed two distinct workflow types between the groups with respect to gathering information in the EHR and creating a note, and 3) A majority of the case time was devoted to note composition in both groups. This has implications for EHR interface design and raises further questions about what individual user workflows exist in the EHR.

With the rapid adoption of electronic health records (EHR), there is a growing appreciation for the central role they play in clinical decision making and team communication, with many studies documenting new safety issues with integration of the EHR into the clinical enterprise. To study these issues, we created a high-fidelity simulation instance of our clinical EHR. In this paper, we describe the impact of integrating the EHR into high-fidelity, interprofessional intensive care unit (ICU) simulations, and the errors induced. We found a number of safety issues directly related to the EHR including alert fatigue, negative impacts on interprofessional communication, and problems with selective data gathering, and these issues were present for all members of the interprofessional team. Through successful integration of the EHR into high-fidelity team-based simulations, we now have an infrastructure to focus educational initiative and deploy informatics solutions to mitigate these safety issues.

Background: Electronic health records (EHR) are becoming increasingly integrated into the clinical environment. With the rapid proliferation of EHRs, a number of studies document an increase in adverse patient safety issues due to the EHR-user interface. Because of these issues, greater attention has been placed on novel educational activities which incorporate use of the EHR. The ICU environment presents many challenges to integrating an EHR given the vast amounts of data recorded each day, which must be interpreted to deliver safe and effective care. We have used a novel EHR based simulation exercise to demonstrate that everyday users fail to recognize a majority of patient safety issues in the ICU. We now sought to determine whether participation in the simulation improves recognition of said issues., Methods: Two ICU cases were created in our EHR simulation environment. Each case contained 14 safety issues, which differed in content but shared common themes. Residents were given 10 minutes to review a case followed by a presentation of management changes. Participants were given an immediate debriefing regarding missed issues and strategies for data gathering in the EHR. Repeated testing was performed in a cohort of subjects with the other case at least 1 week later., Results: 116 subjects have been enrolled with 25 subjects undergoing repeat testing. There was no difference between cases in recognition of patient safety issues (39.5% vs. 39.4%). Baseline performance for subjects who participated in repeat testing was no different than the cohort as a whole. For both cases, recognition of safety issues was significantly higher among repeat participants compared to first time participants. Further, individual performance improved from 39.9% to 63.6% (p = 0.0002), a result independent of the order in which the cases were employed. The degree of improvement was inversely related to baseline performance. Further, repeat participants demonstrated a higher rate of recognition of changes in vitals, misdosing of antibiotics and oversedation compared to first time participants., Conclusion: Participation in EHR simulation improves EHR use and identification of patient safety issues.

Background: The use of electronic health records has generated an increase in after-hours and weekend work for providers. To alleviate this situation, the hiring of medical scribes has rapidly increased. Given the lack of scribe industry standards and the wide variance in how providers and scribes work together, it could potentially create new patient safety-related risks. Objective: The purpose of this paper was to identify how providers can optimize the effective and safe use of scribes. Design: The research team conducted a secondary analysis of qualitative data where we reanalyzed data from interview transcripts, field notes, and transcribed group discussions generated by four previous projects related to medical scribes. Participants: Purposively selected participants included subject matter experts, providers, informaticians, medical scribes, medical assistants, administrators, social scientists, medical students, and qualitative researchers. Approach: The team used NVivo12 to assist with the qualitative analysis. We used a template method followed by word queries to identify an optimum level of scribe utilization. We then used an inductive interpretive theme-generation process. Key Results: We identified three themes: (1) communication aspects, (2) teamwork efforts, and (3) provider characteristics. Each theme contained specific practices so providers can use scribes safely and in a standardized way. Conclusion: We utilized a secondary qualitative data analysis methodology to develop themes describing how providers can optimize their use of scribes. This new knowledge could increase provider efficiency and safety and be incorporated into further and future training tools for them. [ABSTRACT FROM AUTHOR]

Physicians in the 21st century will increasingly interact in diverse ways with information systems, requiring competence in many aspects of clinical informatics. In recent years, many medical school curricula have added content in information retrieval (search) and basic use of the electronic health record. However, this omits the growing number of other ways that physicians are interacting with information that includes activities such as clinical decision support, quality measurement and improvement, personal health records, telemedicine, and personalized medicine. We describe a process whereby six faculty members representing different perspectives came together to define competencies in clinical informatics for a curriculum transformation process occurring at Oregon Health & Science University. From the broad competencies, we also developed specific learning objectives and milestones, an implementation schedule, and mapping to general competency domains. We present our work to encourage debate and refinement as well as facilitate evaluation in this area. [ABSTRACT FROM AUTHOR]