Variable Impact of Medical Scribes on Physician Electronic Health Record Documentation Practices: A Quantitative Analysis Across a Large, Integrated Health-System.

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.

Using ChatGPT-4 to Create Structured Medical Notes From Audio Recordings of Physician-Patient Encounters: Comparative Study.

BACKGROUND: Medical documentation plays a crucial role in clinical practice, facilitating accurate patient management and communication among health care professionals. However, inaccuracies in medical notes can lead to miscommunication and diagnostic errors. Additionally, the demands of documentation contribute to physician burnout. Although intermediaries like medical scribes and speech recognition software have been used to ease this burden, they have limitations in terms of accuracy and addressing provider-specific metrics. The integration of ambient artificial intelligence (AI)-powered solutions offers a promising way to improve documentation while fitting seamlessly into existing workflows. OBJECTIVE: This study aims to assess the accuracy and quality of Subjective, Objective, Assessment, and Plan (SOAP) notes generated by ChatGPT-4, an AI model, using established transcripts of History and Physical Examination as the gold standard. We seek to identify potential errors and evaluate the model's performance across different categories. METHODS: We conducted simulated patient-provider encounters representing various ambulatory specialties and transcribed the audio files. Key reportable elements were identified, and ChatGPT-4 was used to generate SOAP notes based on these transcripts. Three versions of each note were created and compared to the gold standard via chart review; errors generated from the comparison were categorized as omissions, incorrect information, or additions. We compared the accuracy of data elements across versions, transcript length, and data categories. Additionally, we assessed note quality using the Physician Documentation Quality Instrument (PDQI) scoring system. RESULTS: Although ChatGPT-4 consistently generated SOAP-style notes, there were, on average, 23.6 errors per clinical case, with errors of omission (86%) being the most common, followed by addition errors (10.5%) and inclusion of incorrect facts (3.2%). There was significant variance between replicates of the same case, with only 52.9% of data elements reported correctly across all 3 replicates. The accuracy of data elements varied across cases, with the highest accuracy observed in the "Objective" section. Consequently, the measure of note quality, assessed by PDQI, demonstrated intra- and intercase variance. Finally, the accuracy of ChatGPT-4 was inversely correlated to both the transcript length (P=.05) and the number of scorable data elements (P=.05). CONCLUSIONS: Our study reveals substantial variability in errors, accuracy, and note quality generated by ChatGPT-4. Errors were not limited to specific sections, and the inconsistency in error types across replicates complicated predictability. Transcript length and data complexity were inversely correlated with note accuracy, raising concerns about the model's effectiveness in handling complex medical cases. The quality and reliability of clinical notes produced by ChatGPT-4 do not meet the standards required for clinical use. Although AI holds promise in health care, caution should be exercised before widespread adoption. Further research is needed to address accuracy, variability, and potential errors. ChatGPT-4, while valuable in various applications, should not be considered a safe alternative to human-generated clinical documentation at this time.

A Train-the-Trainer Simulation Program Implemented Between Two International Partners.

With the expansion of global health initiatives focused on healthcare professional training, it is important to ensure that such training is scalable and sustainable. Simulation-based education (SBE) is a highly effective means to achieve these goals. Although SBE is widely used in the United States, its integration globally is limited, which can impact the potential of SBE in many countries. The purpose of this perspective piece is to demonstrate how a train-the-trainer program can help in the development of an international SBE program and specifically what unique issues must be considered in operationalizing this strategy.

Prehospitalization Trauma and Physiologic Factors Associated with the Presence of Post-traumatic Stress 3 Months After PICU Discharge.

BACKGROUND: Children admitted to the pediatric intensive care unit (PICU) have post-traumatic stress (PTS) rates up to 64%, and up to 28% of them meet criteria for PTS disorder (PTSD). We aim to examine whether a prior trauma history and increased physiologic parameters due to a heightened sympathetic response are associated with later PTS. Our hypothesis was children with history of prehospitalization trauma, higher heart rates, blood pressures, cortisol, and extrinsic catecholamine administration during PICU admission are more likely to have PTS after discharge. METHODS: This is a prospective, observational study of children admitted to the PICU at an urban, quaternary, academic children's hospital. Children aged 8 to 17 years old without developmental delay, severe psychiatric disorder, or traumatic brain injury were included. Children's prehospitalization trauma history was assessed with a semistructured interview. All in-hospital variables were from the electronic medical record. PTS was present if children had 4 of the Diagnostic and Statistical Manual of Mental Disorders IV criteria for PTSD. Student's t- and chi-squared tests were used to compare the presence or absence of prior trauma and all of the PICU-associated variables. RESULTS: Of the 110 children at baseline, 67 had 3-month follow-up. In the latter group, 46% met the criteria for PTS, mean age of 13 years (SD 3), 57% male, a mean PRISM III score of 4.9 (SD 4.3), and intensive care unit length of stay 6.5 days (SD 7.8). There were no statistically significant differences in the demographics of the children with and without PTS. The only variable to show significance was trauma history; children with prehospitalization trauma were more likely to have PTS at 3-month follow-up (P = .02). CONCLUSIONS: Prehospitalization trauma history was associated with the presence of PTS after admission to the PICU. This study suggests future studies should shift to the potential predictive benefit of screening children for trauma history upon PICU admission.

Does Acupuncture Hurt? A Retrospective Study on Pain and Satisfaction during Pediatric Acupuncture.

Previous studies have shown the benefit and safety of pediatric acupuncture, but it is often rejected by patients and their caregivers due to the perception of needling pain associated with acupuncture. A retrospective cohort study of 230 unique patients (1380 sessions) aged 8 to 21 underwent Kiiko Matsumoto Style acupuncture in an outpatient pain clinic. Patients completed a post-acupuncture survey, including the Faces Pain Scale-Revised and Likert-like scales about overall satisfaction, relaxation, and anxiolysis. Univariate analyses were conducted on all outcomes of interest. The mean needling pain score was 1.3 out of 10 with 57.7% of patients reporting no needling pain during their first acupuncture session. The mean score for overall satisfaction was 8.4 out of 10, relaxation was 8.2 out of 10, and anxiety reduction was 7.7 out of 10. The overall satisfaction, relaxation, and anxiolytic effect of acupuncture was increased in patients with more sessions (p = 0.003, 0.022, 0.004, respectively). There was no change in needling pain scores in patients with an increased number of acupuncture sessions (p = 0.776). Patients experience minimal needling pain during acupuncture needling and are highly satisfied with acupuncture. Those with more treatment sessions report feeling increased satisfaction and relaxation.

Artificial Intelligence, Computational Simulations, and Extended Reality in Cardiovascular Interventions.

Artificial intelligence, computational simulations, and extended reality, among other 21st century computational technologies, are changing the health care system. To collectively highlight the most recent advances and benefits of artificial intelligence, computational simulations, and extended reality in cardiovascular therapies, we coined the abbreviation AISER. The review particularly focuses on the following applications of AISER: 1) preprocedural planning and clinical decision making; 2) virtual clinical trials, and cardiovascular device research, development, and regulatory approval; and 3) education and training of interventional health care professionals and medical technology innovators. We also discuss the obstacles and constraints associated with the application of AISER technologies, as well as the proposed solutions. Interventional health care professionals, computer scientists, biomedical engineers, experts in bioinformatics and visualization, the device industry, ethics committees, and regulatory agencies are expected to streamline the use of AISER technologies in cardiovascular interventions and medicine in general.

Identifying Electronic Health Record Contributions to Diagnostic Error in Ambulatory Settings Through Legal Claims Analysis.

This qualitative study analyzes closed legal claims data to determine whether problems with electronic health records are associated with diagnostic errors, in which part of the diagnostic process errors occur, and the specific types of errors that occur.

Electronic Health Record Use Issues and Diagnostic Error: A Scoping Review and Framework.

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.

High rates of anxiety detected in mothers of children with inconclusive cystic fibrosis screening results.

OBJECTIVE: The purpose was to assess postpartum depression, anxiety, and depression in mothers of children with an inconclusive diagnosis after a positive cystic fibrosis (CF) newborn screening (NBS), known as cystic fibrosis transmembrane conductance regulator (CFTR)-related metabolic syndrome (CRMS) or CF screen positive, inconclusive diagnosis (CFSPID). There is limited information on the prognosis and on the impact of this designation on maternal mental health. METHODS: Mothers of children with CRMS/CFSPID and CF identified by NBS were recruited from two centers in California. Maternal mental health was assessed using measures of depression, anxiety, and a scripted interview. Descriptive statistics and multivariate logistic regression were applied for data reporting. RESULTS: A total of 109 mothers were recruited: CF: 51, CRMS/CFSPID: 58. Mothers from both groups showed higher rates of depression and anxiety symptoms than women in the general population. CRMS/CFSPID and CF mothers had no significant difference on their self-reported symptoms of anxiety and depression after adjusting for potential confounders. Mothers equally reported that their child's diagnosis had a negative impact, and that genetic counseling had a positive impact on their emotional health. CONCLUSIONS: CF and CRMS/CFSPID diagnoses impact maternal mental health similarly. Uncertain prognosis of CRMS/CFSPID likely contributed to the negative mental health impact. Providers should consider conducting mental health screening for every mother of a child with CRMS/CFSPID, in addition to the recommended mental health screening for mothers of children with CF. Genetic counseling has potential to mitigate emotional stress on these families.

How Providers Can Optimize Effective and Safe Scribe Use: a Qualitative Study.

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.

Serum Elabela level is significantly increased in patients with acromegaly.

BACKGROUND: Although the bioactive peptides associated with the apelinergic system are known to be associated with heart failure and ischemic heart disease, there are no data on their association with acromegaly. AIM: We aimed to investigate the change in serum Elabela levels, a novel peptide of the apelinergic system, in patients with acromegaly. METHODS: Our study included 30 treatment naive patients who were recently diagnosed with acromegaly, and 50 age-and-sex-matched healthy controls. In addition to routine history, physical examination and laboratory examinations, serum Elabela level was measured. Participants were divided into two groups as individuals with and without acromegaly and compared to each other. RESULTS: Diastolic blood pressure (DBP) and systolic blood pressure (SBP) were found to be higher in patients with acromegaly. Serum glucose, Hs-CRP, NT-proBNP, insulin-like growth factor-1, growth hormone and serum Elabela levels were higher in patients with acromegaly (p < 0.05 for each). Left ventricular ejection fraction (LV-EF) was found to be lower in patients with acromegaly than the patients in healthy control group (p < 0.05). In multivariate analysis; age, systolic blood pressure, NT-proBNP, Insulin-like growth factor 1 and growth hormone levels were found to be very closely and positively related to serum Elabela level (p < 0.05 for each). CONCLUSIONS: Serum Elabela level can be used as an early and objective indicator of early cardiovascular involvement in patients with acromegaly. Further research is needed to clarify the role of serum Elabela levels on cardiovascular system in acromegaly patients.

Restricted diffusion of the callosal splenium is highly specific for seizures in neonates.

BACKGROUND: To determine whether restricted diffusion of the callosal splenium is specific for seizure activity in neonates. METHODS: We performed a retrospective chart review of 123 neonates who had a diagnosis of hypoxic ischemic encephalopathy (HIE) who underwent therapeutic cooling and had magnetic resonance imaging (MRI) within the first 10 days of life. The regions examined for injury include the callosal splenium, cortex, deep gray matter, and subcortical white matter. Neurodevelopmental outcomes were secondarily assessed using the Bayley Scales of Infant Development at 12 to 18 months of age and > 18 months of age. APGAR scores and pH, two important markers of hypoxia/ischemia and encephalopathy, were also analyzed in relation to these outcomes. RESULTS: Approximately 41% of the neonates had at least one abnormal region on brain MRI, and 21% had abnormal signal in the splenium. Clinical and/or electrographic seizures were documented in 32%. Changes in the splenium had a sensitivity of 54%, specificity of 94%, and positive predictive value of 81% for seizure presence. The presence of seizures and splenium lesion was associated poor developmental outcomes at 12 to 18 months of age. APGAR scores at 10 minutes, but not lowest pH was associated with splenial changes. CONCLUSIONS: Restricted diffusion of the callosal splenium is specific for recent seizures in neonates with HIE. Seizures and splenial lesion represent risk factors for poor neurodevelopmental outcomes. Child neurologists and neonatologists should consider splenial signal abnormality in their assessment of neonates at risk for seizures and counsel families about likely outcomes accordingly.

Medical Record Closure Practices of Physicians Before and After the Use of Medical Scribes.

This study uses electronic health record data to evaluate medical record closure outcomes before and after the use of medical scribes at a large academic medical center.

Just-in-Time Electronic Health Record Retraining to Support Clinician Redeployment during the COVID-19 Surge.

BACKGROUND: In response to surges in demand for intensive care unit (ICU) care related to the COVID-19 pandemic, health care systems have had to increase hospital capacity. One institution redeployed certified registered nurse anesthetists (CRNAs) as ICU clinicians, which necessitated training in ICU-specific electronic health record (EHR) workflows prior to redeployment. Under time- and resource-constrained settings, clinical informatics (CI) fellows could effectively be lead instructors for such training. OBJECTIVE: This study aimed to deploy CI fellows as lead EHR instructional trainers for clinician redeployment as part of an organization's response to disaster management. METHODS: CI fellows led a multidisciplinary team alongside subject matter experts to develop and deploy a tailored EHR curriculum comprising in-person classes and online video modules, leveraging high-fidelity simulated patient cases. The participants completed surveys immediately after the in-person training session and after deployment. RESULTS: Eighteen CRNAs participated, with 15 completing the postactivity survey (83%). All felt the training was useful and improved their EHR skills with a Net Promoter score of +87. Most (93%) respondents indicated the pace of the session was "just right," and 100% felt the clarity of instruction was "just right" or "extremely easy" to understand. Twelve participants (67%) completed the postdeployment survey. The training increased comfort in the ICU for all respondents, and 91% felt the training prepared them to work in the ICU with minimal guidance. All stated that the concepts learned would be useful in their anesthesia role. Fifty-eight percent viewed the online video library. CONCLUSION: This case report demonstrates that CI fellows with dual domain expertise in their clinical specialty and informatics are uniquely poised to deliver clinician redeployment EHR training in response to operational crises. Such opportunities can achieve fellowship educational goals while conserving physician resources which can be a strategic option as organizations plan for disaster management.

Creation of an International Interprofessional Simulation-enhanced Mechanical Ventilation Course.

Background: Evidence shows poor adherence to strategies for reducing morbidity and mortality in intensive care unit (ICU) patients receiving mechanical ventilation globally. Best practice management relies on training all members of the interprofessional ICU team, each with complementary roles in patient management. Objectives: To develop and evaluate a novel two-phase, train-the-trainer, interprofessional and multicultural "Best Practice Management of the Ventilated ICU Patient" multimodality, simulation-enhanced curriculum for Thai education leaders in critical care. Methods: In phase 1 (Oregon Health and Science University cohort), two groups of nine ICU nurses and one critical care physician representing experts in critical care and education from a large hospital system in Thailand participated in a weeklong, immersive course consisting of didactic, simulation, and in situ immersive sessions focused on best practice management of mechanically ventilated ICU patients, as well as training in our educational techniques. Outcomes were assessed with pre- and postcourse knowledge assessments and overall course evaluation. In phase 2 (Thai cohort), participants from phase 1 returned to Thailand and implemented a lower fidelity curriculum in two hospitals, using the same pre- and posttest knowledge assessment in 41 participants, before the onset of the coronavirus disease (COVID-19) 6 pandemic. Results: In the Oregon Health and Science University cohort, the mean pretest knowledge score was 58.4 ± 13.2%, with a mean improvement to 82.5 ± 11.6% after completion of the course (P , 0.05). The greatest improvements were seen in respiratory physiology and advanced/disease-specific concepts, which demonstrated absolute improvements of 30.4% and 30.6%, respectively (P < 0.05). Participants had a high degree of satisfaction, with 90% rating the course as "excellent" and .90% reporting that the course "greatly improved" their understanding of best practices and comfort in managing mechanical ventilation. The Thai cohort had a mean baseline score of 45.4 ± 15.0% and a mean improvement to 70.3 ± 19.1% after training (P < 0.05). This cohort also saw the greatest improvement in respiratory physiology and advanced/disease-specific concepts, with 26.2% and 26.3% absolute improvements, respectively (P < 0.05). Conclusion: A novel, two-phase, interprofessional, multicultural, simulation-enhanced train-the-trainer curriculum was feasible and effective in improving education in best practice management of mechanically ventilated patients and may be a useful model for improving the care of ICU patients across the world.

Heart Rate Variability biofeedback therapy for children and adolescents with chronic pain: A pilot study.

PURPOSE: As a brief, noninvasive, cost-effective, and technology-driven therapy, biofeedback is a promising and welcomed clinical intervention for children and adolescents with pediatric chronic pain conditions. The aim of this pilot study was to explore the application of a brief Heart Rate Variability (HRV) biofeedback intervention supplemented by at-home breathing practice as a tool for reducing symptomatology associated with chronic pain in a pediatric urban hospital setting. DESIGN AND METHODS: Twenty-one participants aged 10-17 years (M = 14.05, SD = 1.91; 76% female) and their caregivers completed the study. Participants were randomized to either 1) receive immediate biofeedback treatment including at-home breathing practice or 2) to be placed on a 4-week waitlist and then enrolled in the biofeedback treatment. Study outcomes included self-reported pain intensity, health-related quality of life (HRQOL), and anxiety sensitivity. HRV data were obtained from biofeedback sessions. RESULTS: Following biofeedback treatment, participants achieved significant reductions in self-reported pain intensity, higher levels of self-reported school functioning, and increased HRV, as measured by Blood Volume Pulse (BVP) amplitude. Participants in the waitlist group experienced an increase in pain intensity during the waitlist period. CONCLUSION: Further research is needed to understand the mechanisms underlying HRV biofeedback and its treatment of pediatric chronic pain. PRACTICE IMPLICATIONS: Nurses are ideal practitioners for biofeedback given their training in physiology and background in healthcare and should be encouraged to explore training in this area. Suggested biofeedback-related apps and mobile devices to share with patients at bedside are provided.

Disparities in Electronic Screening for Cancer-Related Psychosocial Distress May Promote Systemic Barriers to Quality Oncologic Care.

BACKGROUND: Screening for cancer-related psychosocial distress is an integral yet laborious component of quality oncologic care. Automated preappointment screening through online patient portals (Portal, MyChart) is efficient compared with paper-based screening, but unstudied. We hypothesized that patient access to and engagement with EHR-based screening would positively correlate with factors associated with digital literacy (eg, age, socioeconomic status). METHODS: Screening-eligible oncology patients seen at our Comprehensive Cancer Center from 2014 through 2019 were identified. Patients with active Portals were offered distress screening. Portal and screening participation were analyzed via multivariable logistic regression. Household income in US dollars and educational attainment were estimated utilizing zip code and census data. RESULTS: Of 17,982 patients, 10,279 (57%) had active Portals and were offered distress screening. On multivariable analysis, older age (odds ratio [OR], 0.97/year; P<.001); male gender (OR, 0.89; P<.001); Black (OR, 0.47; P<.001), Hawaiian/Pacific Islander (OR, 1.54; P=.007), and Native American/Alaskan Native race (OR, 0.67; P=.04); Hispanic ethnicity (OR, 0.76; P<.001); and Medicare (OR, 0.59; P<.001), Veteran's Affairs/military (OR, 0.09; P<.01), Medicaid (OR, 0.34; P<.001), or no insurance coverage (OR, 0.57; P<.001) were independently associated with lower odds of being offered distress screening; increasing income (OR, 1.05/$10,000; P<.001) and educational attainment (OR, 1.03/percent likelihood of bachelor's degree or higher; P<.001) were independently associated with higher odds. In patients offered electronic screening, participation rate was 36.6% (n=3,758). Higher educational attainment (OR, 1.01; P=.03) was independently associated with participation, whereas Black race (OR, 0.58; P=.004), Hispanic ethnicity (OR, 0.68; P=.01), non-English primary language (OR, 0.67; P=.03), and Medicaid insurance (OR, 0.78; P<.001) were independently associated with nonparticipation. CONCLUSIONS: Electronic portal-based screening for cancer-related psychosocial distress leads to underscreening of vulnerable populations. At institutions using electronic distress screening workflows, supplemental screening for patients unable or unwilling to engage with electronic screening is recommended to ensure efficient yet equal-opportunity distress screening.

Translating ethnographic data into knowledge, skills, and attitude statements for medical scribes: a modified Delphi approach.

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.

Utilizing eye tracking to assess electronic health record use by pharmacists in the intensive care unit.

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.

Developing and Implementing Noninvasive Ventilator Training in Haiti during the COVID-19 Pandemic.

Background: Noninvasive ventilation (NIV) is an important component of respiratory therapy for a range of cardiopulmonary conditions. The World Health Organization recommends NIV use to decrease the use of intensive care unit resources and improve outcomes among patients with respiratory failure during periods of high patient capacity from coronavirus disease (COVID-19). However, healthcare providers in many low- and middle-income countries, including Haiti, do not have experience with NIV. We conducted NIV training and evaluation in Port-au-Prince, Haiti. Objectives: To design and implement a multimodal NIV training program in Haiti that would improve confidence and knowledge of NIV use for respiratory failure. Methods: In January 2021, we conducted a 3-day multimodal NIV training consisting of didactic sessions, team-based learning, and multistation simulation for 36 Haitian healthcare workers. The course included 5 didactic session and 10 problem-based and simulation sessions. All course material was independently created by the study team on the basis of Accreditation Council for Continuing Medical Education-approved content and review of available evidence. All participants completed pre- and post-training knowledge-based examinations and confidence surveys, which used a 5-point Likert scale. Results: A total of 36 participants were included in the training and analysis, mean age was 39.94 years (standard deviation [SD] = 9.45), and participants had an average of 14.32 years (SD = 1.21) of clinical experience. Most trainees (75%, n = 27) were physicians. Other specialties included nursing (19%, n = 7), nurse anesthesia (3%, n = 1), and respiratory therapy (3%, n = 1). Fifty percent (n = 18) of participants stated they had previous experience with NIV. The majority of trainees (77%) had an increase in confidence survey score; the mean confidence survey score increased significantly after training from 2.75 (SD = 0.77) to 3.70 (SD = 0.85) (P < 0.05). The mean knowledge examination score increased by 39.63% (SD = 15.99%) after training, which was also significant (P < 0.001). Conclusion: This multimodal NIV training, which included didactic, simulation, and team-based learning, was feasible and resulted in significant increases in trainee confidence and knowledge with NIV. This curriculum has the potential to provide NIV training to numerous low- and middle-income countries as they manage the ongoing COVID-19 pandemic and rising burden of noncommunicable disease. Further research is necessary to ensure the sustainability of these improvements and adaptability to other low- and middle-income settings.