Electronic Medical Record Documentation Research Articles

Improved Electronic Medical Record Documentation

Clozaril, a psychiatric medication, is the focus of this report. The allocated brand names for this medicine in the United Kingdom are; Clozaril, Fazaclo, and Versaclo. Its generic name as detailed by the DRUGBANK Online is (2022) is Clozapine. Clozaril is also known by different names including Leponex, Azaleptin, Fazaclo, Froidir, Klozapol and Clopine in other global regions.

Using the Electronic Medical Record to Correlate Patient–Provider Perspectives in the Care of Black Individuals With High-Risk Pregnancies [ID 2683496

INTRODUCTION: The electronic medical record (EMR) is a mainstay of medical documentation, although it is limited in its ability to fully capture patients' perspectives. This study aims to correlate patient and provider perspectives in the care of Black individuals with diabetes and/or hypertension in pregnancy to identify areas for quality improvement. METHODS: A mixed qualitative-retrospective study consisting of in-depth one-on-one interviews and EMR chart review was conducted from January 2021 to December 2022 for nine patients who self-identified as Black, were 6 weeks to 1 year postpartum with diagnoses of diabetes and/or hypertension during pregnancy or postpartum, and delivered at a tertiary hospital (IRB 2000028830). Interviews were virtual, lasted 55 minutes on average, and explored participants’ delivery and postpartum experiences. Chart notes were reviewed to correlate and compare participants' described experiences with documentation in the EMR. Themes were developed using inductive technique. RESULTS: Participants reported overall satisfaction with the care received, but four major themes were identified: 1) concerns with acknowledgement and management of pain, 2) perceived coercion and stereotyping with contraception counseling, 3) incomplete representation of positive and negative experiences in EMR documentation, and 4) balancing patient autonomy and professional responsibility to counsel. Although participants' described experiences were correlated to EMR documentation for some instances, documentation often lacked patient perspectives regarding their concerns and decision-making rationale. Additionally, participants did not always fully understand the rationale behind aspects of their care. CONCLUSION: Opportunities exist for improved patient–provider communication in the provision of obstetric care for minoritized populations with high-risk pregnancies.

Analysis of the Adequacy of Nurse Staffing Level through the Estimation of Nursing Activity Hours and Implementation of Focus Group Interviews in a Tertiary Hospital: Using a Mixed-Method Design

This study aimed to examine the adequacy of current nurse staffing levels by identifying nursing activities and workload. The study used a mixed-method design. A nursing activity survey was conducted using the work sampling method over 2 working days with 119 general ward nurses. A focus group interview was conducted with 12 nurses. Quantitative and qualitative data were analyzed using SPSS 20.0 and content analysis, respectively. The most amount of time was spent on medication (in direct nursing) and electronic medical record documentation (in indirect nursing). The appropriate nurse-to-patient ratio is 1:7.7 for the day shift, 1:9.0 for the evening shift, and 1:11.9 for the night shift. However, the current nurse-to-patient ratio is 1:9.4, 1:11.0, and 1:13.8 for the day, evening, and night shifts, respectively. Therefore, the current nurse staffing level is insufficient for the workload. In the focus group interview, the main reasons cited for being unable to complete tasks within working hours were communication and coordination, and the nursing electronic medical record. The essential nursing activities of basic nursing and emotional support were overlooked owing to a heavy workload. Therefore, an adequate nurse staffing level should be higher than the measured quantitative workload. These results suggest the general wards of tertiary hospitals should evaluate the adequacy of their current nurse staffing and allocate sufficient nurses to improve patient safety and nursing care quality.

Improving Identification of Firearm Access in Children With Mental Health Complaints.

To determine if electronic medical record (EMR) changes and implementation of a study on firearm storage practices changed identification of firearm exposure in children presenting to a pediatric emergency department (PED) with mental health complaints. We also sought to determine the accuracy of information collected on firearm storage practices. Retrospective study of EMR documentation of firearm exposure in PED patients with mental health complaints from January 20, 2015 until November 20, 2017. EMR changes occurred on January 20, 2016 and the firearms study began on February 13, 2016. The primary outcome was documentation of firearm exposure. Secondary outcomes were documentation of unsafe firearm storage practices. We also examined differences between clinical and research documentation of unsafe firearm storage practices post-intervention. We compared groups using descriptive statistics and chi-squared tests. We used statistical process control to examine the relationship between interventions and changes in outcomes. 5582 encounters were examined. Identification of firearm exposure increased from 11 to 17% postintervention. Identification of unsafe storage practices increased from 1.9% to 4.4% across all encounters. Special cause variation in both metrics occurred concurrently with the interventions. Postintervention, unsafe firearms storage practices in firearm owning families were under-identified (39% identified as not triple-safe in clinical data vs 75% in research data). EMR changes and implementation of a firearms study improved identification of firearm exposure and unsafe storage practices in families of PED patients being evaluated for mental health complaints. However, unsafe storage practices continued to be under-identified in firearm-owning families.

Integrating Social Determinants of Health in Critical Care

BackgroundSocial determinants of health (SDOH) mediate outcomes of critical illness. Increasingly, professional organizations recommend screening for social risks. Yet, how clinicians should identify and then incorporate SDOH into acute care practice is poorly defined. Research QuestionHow do medical intensive care unit (ICU) clinicians currently operationalize SDOH within patient care, given that SDOH are known to mediate outcomes of critical illness? Study Design and MethodsUsing ethnographic methods, we observed clinical work rounds in three urban ICUs within a single academic health system to capture use of SDOH during clinical care. Adults admitted to the medical ICU with respiratory failure were prospectively sequentially enrolled. Observers wrote field notes and narrative excerpts from rounding observations. We also reviewed electronic medical record (EMR) documentation for up to 90 days following ICU admission. We then qualitatively coded and triangulated data using a constructivist grounded theory approach and the Centers for Disease Control Healthy People SDOH framework. ResultsSixty-six patients were enrolled and over 200 observation hours of clinical work rounds were included in the analysis. ICU clinicians infrequently integrated social structures of patients’ lives into their discussions. Social structures were most frequently invoked when related to: 1) etiologies of acute respiratory failure, 2) decisions on life sustaining therapies, and 3) transitions of care. There was no systematic way in which data about common SDOH were collected (e.g., food and housing insecurity) and some SDOH were rarely or never discussed (e.g., access to education, discrimination, incarceration). InterpretationClinicians do not incorporate many areas of known SDOH into ICU rounds. Improvements in integration of SDOH should leverage the multidisciplinary team, identifying who is best suited to collect information of SDOH during different timepoints in critical illness. Next steps include clinician, patient-, and caregiver-focused assessments of feasibility and acceptability of an ICU-based SDOH assessment.

Development of a Discharge Counseling and Medication Reconciliation Process for Pediatric Patients Within a Large, Academic Health System

OBJECTIVE This study aims to characterize the impact of a pharmacist-driven discharge medication reconciliation and counseling program targeting high-risk pediatric patients to mitigate barriers in transitions of care. METHODS This was a single-center quality improvement initiative including high-risk pediatric patients within a large academic medical center. Pharmacy, medical, and information technology team members developed a scoring system to identify patients at high risk of hospital readmission that resulted in a trigger tool built within the electronic medical record (EMR). Pharmacy workflow, the EMR documentation, and staff training were implemented. The primary end point was the number of high-risk patients with complete medication reconciliation and/or discharge counseling performed during the first 2 months after implementation. The secondary end points included quantification and qualification of the interventions conducted by a pharmacist. RESULTS Pediatric clinical pharmacists conducted discharge medication reconciliation and/or counseling for 60 patients during the first 2 months after implementation. There were 65 interventions performed, including 60 discharge medication reconciliations and 5 discharge counseling sessions. Of these interventions, 22 were recommendations on appropriate medication dosing and frequency (37%), 12 on duration of therapy (20%), and 8 were medication additions (13%). There were 6 interventions on adherence assistance (10%), 6 involved selection of medication formulation (10%), 3 involved medication discontinuation (5%), 2 involved appropriate therapy selection (3%), and 1 involved medication stability (1%). All interventions were accepted and implemented by the prescribing providers. CONCLUSIONS Pharmacist-driven discharge medication reconciliation and counseling programs targeting pediatric high-risk population might be an effective tool to mitigate gaps in transitions of care.

Back to Babies: Reducing Documentation Time in the NICU

Abstract Background There is no accepted best practice for generation and content of daily progress notes in the neonatal intensive care unit (NICU). Objectives This study aimed to implement a consistent documentation standard process for a neonatology provider group at a level IV tertiary care NICU. The primary aim was to improve timeliness of daily progress note completion. Secondary aims were to maintain or improve clinician satisfaction, reduce variability, and reduce attending neonatologist electronic medical record (EMR) documentation tasks. Methods We formed a work group including advanced practice providers (APPs) and physicians from the NICU that met over 6 months to define the ideal NICU documentation content, map the workflow for documentation, identify gaps in EMR content, and create solutions for each gap. Baseline assessment included a change readiness survey to identify barriers to workflow change and a review of neonatologist signature timestamp to determine time to note completion. Twenty random progress notes were sampled weekly for 6 months prior to implementation of new workflow as well as 6 months postimplementation. Average time to note completion was compared in the pre- and postintervention groups. Results In total, 962 notes were sampled, 481 each in the pre- and postintervention states. Twenty neonatologists were captured in the preintervention state, 24 in the postintervention state, 18 were captured in both samples. Final note completion time mean improved from 10 hours and 32 minutes (from starting note to final sign) to 8 hours and 40 minutes (p < 0.01). Those sampled in both epochs improved from 10 hours and 6 minutes to 8 hours and 30 minutes (p < 0.05). Conclusion Progress notes generated by neonatologists are completed earlier than those generated by an APP with a Neonatologist addendum. Specialty-specific education and training are critical to high satisfaction in large EMR workflow transitions.

Building a Cohort of Transgender and Nonbinary Patients from the Electronic Medical Record.

Purpose: Sexual orientation, gender identity, and sex recorded at birth (SOGI) have been routinely excluded from demographic data collection tools, including in electronic medical record (EMR) systems. We assessed the ability of adding structured SOGI data capture to improve identification of transgender and nonbinary (TGNB) patients compared to using only International Classification of Diseases (ICD) codes and text mining and comment on the ethics of these cohort formation methods. Methods: We conducted a retrospective chart review to classify patient gender at a single institution using ICD-10 codes, structured SOGI data, and text mining for patients presenting for care between March 2019 and February 2021. We report each method's overall and segmental positive predictive value (PPV). Results: We queried 1,530,154 EMRs from our institution. Overall, 154,712 contained relevant ICD-10 diagnosis codes, SOGI data fields, or text mining terms; 2964 were manually reviewed. This multipronged approach identified a final 1685 TGNB patient cohort. The initial PPV was 56.8%, with ICD-10 codes, SOGI data, and text mining having PPV of 99.2%, 47.9%, and 62.2%, respectively. Conclusion: This is one of the first studies to use a combination of structured data capture with keyword terms and ICD codes to identify TGNB patients. Our approach revealed that although structured SOGI documentation was <10% in our health system, 1343/1685 (79.7%) of TGNB patients were identified using this method. We recommend that health systems promote patient EMR documentation of SOGI to improve health and wellness among TGNB populations, while centering patient privacy.

Racial Discrepancies in the Use of Stigmatizing Language Is Evident in Hematology/Oncology Electronic Medical Records

Healthcare inequities are often attributed to large-scale structural barriers for access to medical care or patient-medical staff interactions. However, the role of the electronic medical record (EMR) in perpetuating hidden biases has been poorly characterized. This passive form of sharing implicit biases with unknown readers may have profound ripple effects asynchronous in place and time from the note writer. This study aims to illustrate racial imbalances in ad hominem patient characterizations as documented by medical staff, regardless of role, in a large metro healthcare system. The use of certain potentially stigmatizing language in emergency department (ED) and inpatient notes for hematology/oncology patients was investigated. Retrospective chart review of four hospitals within a university network in a major metro area between 1/1/2019 - 6/30/2021 was undertaken. Patients ≥22 years old were included with two primary hypotheses in mind: 1) Negative terms are used more frequently for underrepresented minorities, and 2) words with shock value (i.e. curse words) are used more often than more general descriptors of these terms (e.g. “cursing” or “profanity”). Nine positive and twelve negative terms were evaluated, based on the authors' observations of their use in the EMR in past encounters (Table 1). Some were personal descriptors in which the ED or inpatient note writer would be less likely than outpatient providers to have a full sense of outpatient care or social determinants of health (e.g. compliant). Others were behavioral descriptions (e.g. hostile) or words with minimal medical relevance (e.g. curse words). If multiple notes in an encounter included the same word(s), the encounter was only analyzed once for each word to avoid word count inflation, though re-occurrences for the same patient in subsequent encounters were counted. Authors' manual data review using natural language processing software confirmed appropriate use of terms. Generalized estimating equations were used for race-based comparisons to account for same-patient clustered encounters. Odds ratios (OR) and 95% confidence intervals (CI) were calculated for self-reported demographic comparisons with White as the reference category. P≤0.05 was considered significant. A total of 1,059 encounters for 889 hematology/oncology patients were analyzed. Mean age was 61 years (standard deviation 16.7) and 49.4% were female. White race was reported for 80.2% of patients (72% system-wide prevalence during same timeframe) and Black for 11.4% (15.2% system-wide); all others were ≤4% so only White/Black comparisons were included. Positive terms were more prevalent than negative ones (n=535 vs 459). However, negative terms were found more often for Black individuals (OR 2.24, CI 1.41 - 3.56, P&amp;lt;0.001), while the positive terms were less frequently documented in Black patients relative to White patients (OR 0.51, CI 0.33 - 0.77, P=0.001), and neither category was concordant with the overall patient racial demographics. Other significant racial differences existed for the terms “Argumentative”, “Disrespectful”, “Noncompliant”, and “Polite”, all discrepancies which favored White patients (Table 2). Specific curse words were documented nearly as often as “cursing”, “swearing”, or “profanity”, but no racial differences were observed. Some words in the initial search (“Brave”, “Courageous”, “Empathetic”, and “Ambitious”) were not found in hematology/oncology notes in this timeframe. EMR documentation in hospital-based hematology/oncology care demonstrated evidence of racial discrepancies in language that may carry stigma, positively or negatively. Importantly, many of these terms have questionable, if any, medical relevance. The use of stigmatizing terminology in the EMR may reflect implicit biases that extend past the direct patient encounter, passively and subconsciously prejudicing future care from other staff members. Time-saving heuristics and documentation shortcuts like copy-forwarding may further ossify healthcare inequities. This phenomenon is undoubtedly not limited to this hospital system or the hematology/oncology field, but quantitative real-world evidence has been scant. Improved awareness of stigmatizing language in documentation may be one step towards mitigating this contributor to unequal care for hematology/oncology providers and their patients.

Early Peanut Introduction in Infants: Improving Guideline Adherence With EMR Standardization.

Peanut allergy in children is a population health problem. Evidence suggests early peanut introduction (EPI) for infants can reduce the development of peanut allergy. Primary care settings have not widely adopted guidelines recommending EPI. Peanut allergy prevention depends on primary care providers incorporating EPI guidelines into well-child check (WCC) encounters. We aimed to improve guideline adherence in a primary care setting by implementing a bundle of clinical decision support (CDS) tools. Using quality improvement methodology, the team developed a standardized work protocol and CDS tools within an electronic medical record (EMR) at 4, 6, and 9-month WCC encounters. The team executed changes and modifications through plan-do-study-act cycles and analyzed results with statistical process control charts. We collected data from 445 WCC encounters from baseline through sustainability. EMR documentation of EPI guidance at 4, 6, and 9-month WCCs shifted from 13.9% to 83.5% over 12 months. Provider adoption of smart lists and templates increased from 2% to 73%, the distribution of home peanut introduction handouts increased from 5.2% to 54.1%, and caregiver-reported peanut ingestion increased from 0% to 34.6%. Diphtheria-tetanus-acellular pertussis vaccination rates remained at 100% for 6-month visits, and patient in-room time remained at 65 minutes. Quality improvement methodology improved documentation of EPI guidance and increased reported peanut ingestion at routine WCC encounters without impacting other measures. Broader use of bundled CDS tools and EMR standardization could further improve guideline adherence and increase early peanut introduction to prevent peanut allergy in infants.

FRI081 Quality Improvement Initiative To Improve Management Of Obesity In A Primary Care Resident Continuity Clinic

Abstract Disclosure: M.G. Fernandez: None. M. Hillhouse: None. D. Ozimek: None. M. Salvo: None. Background: Obesity is a leading health concern in the US and a growing epidemic worldwide. Despite the substantial evidence on weight management interventions, it remains the least commonly addressed medical problem. Physicians also document obesity infrequently in medical records. It has been well established that increasing documentation of obesity improves its management as a chronic disease. Objective: The main aim of our project was to increase the percentage of patients with a body mass index (BMI) ≥30kg/m2 with documented obesity in the electronic medical record (EMR) from 42% to 70%. The second aim was to increase the percentage of patients with a BMI ≥30kg/m2 prescribed weight loss pharmacotherapy from 10% to 40%. The project was performed in an Internal Medicine residency program continuity clinic over six months. Methods: We used three cycles of the Plan-Do- Study-Act methodology; all included education in obesity medicine, distribution of a hard copy list of the patients who met inclusion criteria, and EMR message reminders to address obesity by the following medical appointment. The EMR was used to generate reports to track outcomes. The first report listed all the resident clinic patients with a documented BMI ≥30kg/m2. The following list the number of patients with BMI ≥30kg/m2 and a corresponding diagnosis of obesity in their chart. The last report listed the number of patients with BMI ≥30kg/m2 on weight loss pharmacotherapy. Reports were generated bi-monthly, and percentages were used to determine the efficacy of each cycle. Results: There were 25% of residents’ patients who met project inclusion criteria. Of this, 11% were prescribed pharmacotherapy at baseline. Of those receiving treatment, 98% had type 2 diabetes. After the interventions, the documentation of obesity in the EMR increased from 42% to 60%. As a result, the overall number of patients on weight loss pharmacotherapy increased from 10.53% to 12.68%. Conclusion: The overall goal of the interventions was successful. There was an increase in both EMR documentation of obesity and increased weight loss pharmacotherapy prescribing; however, both were lower than anticipated. It was also found that the resident physicians responded more to printed metrics of their population of patients. In addition, physicians were more susceptible to treating patients when obesity was documented as a chronic disease. However, this project emphasizes that more efforts should be made to engage residents in multidisciplinary training to improve the management of obesity and increase tools to navigate through barriers to obesity treatments. Presentation: Friday, June 16, 2023

Integration of Cirrhosis Best Practices Into Electronic Medical Record Documentation Associated With Reduction in 30-Day Mortality Following Hospitalization.

Hospital admissions for patients with cirrhosis continue to increase. In New York City, 25% to 30% of hospitalized cirrhotics are readmitted within 30 days. Rehospitalization is associated with increased mortality, poor quality of life, and financial burden to patients, hospitals, and payers. Preventable readmissions are partially accounted for by a well-documented quality gap between evidence-based guidelines for cirrhosis management and real-world adherence to these recommendations. We performed a prospective cohort study that compared outcomes among cirrhotic patients admitted to 4 internal medicine teams over a 6-month period. An electronic medical record (EMR) note template that outlined best-practice measures for cirrhotics was developed. Inpatient providers on 2 teams were instructed to include it in daily progress notes and discharge summaries. The recommended practices included diagnostic paracentesis and diuretics for ascites, rifaximin, and lactulose for hepatic encephalopathy, beta blockers for esophageal varices, and antibiotic prophylaxis for spontaneous bacterial peritonitis. The remaining 2 teams continued the standard of care for cirrhotic patients. The primary outcome was 30-day readmissions. Secondary outcomes included in-hospital mortality, 30-day mortality, length of stay, and adherence to best-practice guidelines. Over a 6-month period, 108 cirrhotic patients were admitted, 83 in the interventional group and 25 in the control group. MELD-Na scores on admission did not differ between the groups (20.1 vs. 21.1, P=0.56). Thirty-day readmissions were not significantly different between the interventional and control groups (19.3% vs. 24%, P=0.61). However, 30-day mortality was significantly lower in the interventional group (8.4% vs. 28%, P=0.01). There was no difference between the 2 groups in in-hospital mortality (4.8% vs. 0%, P=0.27), 90-day mortality (15.7% vs. 28.0%, P=0.17) or length of stay (10.2 vs. 12.6d, P=0.34). Adherence to best-practice metrics was similar between the groups, except for rates of diagnostic paracentesis, which were higher in the interventional group (98% vs. 80%, P=0.01). Implementation of an EMR note template with cirrhosis best practices was associated with lower 30-day mortality and higher rates of diagnostic paracentesis among admitted patients with cirrhosis. These findings suggest that the integration of best-practice measures into the EMR may improve outcomes in hospitalized cirrhotic patients. Larger studies are required to validate these findings.

Elopement: Evidence-based mitigation and management.

Elopement jeopardizes patient safety, affects the hospital's reputation, and results in financial ramifications. In an academic community hospital, executive leadership approached a team of nurse leaders for expertise following the elopement of a vulnerable patient. The team's goal was to identify evidence-based strategies to mitigate future elopement events. Following an extensive literature review and gap analysis, the organization recognized opportunities pertaining to elopement management, including patient assessment, prevention strategies, and facility-wide response when events occur. The nurse leader team thoroughly searched current literature to answer the Population, Intervention, Comparison, and Outcome (i.e., PICO) questions of interest. Following a critical appraisal of 55 articles, 26 were utilized to make practice change recommendations. The body of evidence included a variety of age groups and diagnoses. After the synthesis of the literature, the team provided recommendations to the organization. These recommendations included the assessment of patient-specific risks and the implementation of elopement prevention measures as fundamental elements for incidence reduction. The team partnered with multidisciplinary stakeholders for the revision of policies, processes, and electronic medical record documentation. The organization monitored elopement events and the duration of each event throughout the phases of implementation. Pre-implementation data, collected from January to June 2021, demonstrated 34 individual elopement cases lasting an average of 118 min each. In comparison, post-implementation data collected during the same time frame in 2022 found only 12 events lasting an average of 24 min each. The organization implemented evidence-based recommendations to standardize the facility's approach to elopement. With structured assessment, precautions, and response, the organization demonstrated a notable decline in the number and duration of elopement events. Hardwiring processes, analyzing data, and adjusting expectations within an evidence-based framework should assist the organization's drive to further enhance patient safety surrounding elopement events.

Prevalence and Predictors of Early Intervention Referral Among Substance-Exposed Newborns.

Substance-exposed newborns (SENs) are at risk for developmental delay(s). Early intervention (EI) access, key to addressing these risks, is inequitable. Objectives were to: 1. determine prevalence of EI referral in the Colorado Hospitals Substance-Exposed Newborn Quality Improvement Collaborative; and 2. evaluate predictors of referral. Within participating Colorado Hospitals Substance-Exposed Newborn hospitals, maternal-infant dyads with exposure to medications for opioid use disorder (MOUD), illicit/prescription opioids, and/or nonopioid substances were included on the basis of electronic medical record documentation. χ2, Fisher's exact, and analysis of variance tests evaluated differences in maternal/infant characteristics by referral. Multivariable Poisson regression models assessed the independent association of characteristics with referral. Among 1222 dyads, 504 (41%) SENs received EI referral. Infants born to mothers with non-MOUD (adjusted risk ratio [aRR] 2.15, 95% confidence interval [CI] 1.67-2.76) and polysubstance (aRR 1.58, 95% CI 1.26-1.97) exposure were less likely to receive referral compared with infants born to mothers with MOUD exposure. Those with private (aRR 1.26, 95% CI 1.03-1.55) or self-pay/no insurance (aRR 12.32, 95% CI 10.87-13.96) were less likely to receive referral compared with infants with public insurance. Less than half of identified SENs received EI referral, with variation by substance exposure and maternal insurance status. Systems to ensure equitable access to services are crucial.

Assessing Primary Care Blood Pressure Documentation for Hypertension Management During the COVID-19 Pandemic by Patient and Provider Groups

BackgroundPrimary care electronic medical record (EMR) data can be used to identify, manage, and screen hypertension cases. However, this approach relies on completeness and accessibility of documented blood pressure (BP) values. With the large switch to virtual care due to the COVID-19 pandemic, we assessed BP documentation in primary care EMRs during the pandemic, across patient and physician groups. MethodsHypertension-related visits were identified during the pre-pandemic (January 2017 to February 2020) and pandemic (March 2020 to December 2021) periods from a primary care EMR database in Ontario, Canada. Clustered logistic regression models were used to analyze the relationship of physician and patient characteristics with an outcome variable of documented BP. A chart review of 3200 hypertension visits without a BP recorded in structured data fields was conducted to determine if BP was recorded in progress notes. ResultsPre-pandemic, 75.7% of hypertension-related visits (113,966 of 150,511) had a BP recorded in structured documentation, but this significantly decreased to 36.4% (26,660 of 73,239) during the pandemic (odds ratio [OR] = 0.18, 95% confidence interval [CI]: 0.18-0.19). For virtual visits, 14.3% (6357 of 44,572) had a documented BP, vs 74.0% (20,056 of 27,089) for in-person visits. Chart review found that 55.9% of hypertension visits had no associated BP in structured documentation, but did have a BP recorded in the progress note. Male providers, compared to female providers, were less likely to record BPs pre-pandemic (OR = 0.45, 95% CI: 0.32-0.63) and during the pandemic, for both virtual visits (OR = 0.48, 95% CI: 0.32-0.71) and in-person visits (OR = 0.46, 95% CI: 0.33-0.64). ConclusionsBP documented in primary care EMRs declined during the pandemic, most likely due to high rates of virtual visits impacting hypertension detection and management.

Aci-bench: a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generation

Recent immense breakthroughs in generative models such as in GPT4 have precipitated re-imagined ubiquitous usage of these models in all applications. One area that can benefit by improvements in artificial intelligence (AI) is healthcare. The note generation task from doctor-patient encounters, and its associated electronic medical record documentation, is one of the most arduous time-consuming tasks for physicians. It is also a natural prime potential beneficiary to advances in generative models. However with such advances, benchmarking is more critical than ever. Whether studying model weaknesses or developing new evaluation metrics, shared open datasets are an imperative part of understanding the current state-of-the-art. Unfortunately as clinic encounter conversations are not routinely recorded and are difficult to ethically share due to patient confidentiality, there are no sufficiently large clinic dialogue-note datasets to benchmark this task. Here we present the Ambient Clinical Intelligence Benchmark (aci-bench) corpus, the largest dataset to date tackling the problem of AI-assisted note generation from visit dialogue. We also present the benchmark performances of several common state-of-the-art approaches.

Caring for Hospitalized Children in Foster Care: Provider Training, Preparedness, and Practice.

Children and youth in foster care (CYFC) have high rates of health care utilization, including inpatient care. The objective of this study was to explore the inpatient provider experience caring for CYFC. Semistructured interviews were conducted with inpatient pediatric providers from Mid-Atlantic hospitals. Interview questions focused on 3 domains: provider training and preparedness, practice challenges, and strategies to improve care for CYFC. Conventional content analysis was applied to interview transcripts. Thirty-eight interviews were completed with providers from 6 hospitals, including 14 hospitalists, 1 advanced practice provider, 11 registered nurses, 10 social workers (SWs), and 2 case managers. Nearly all (90%) reported at least monthly interactions with CYFC. Themes related to training and preparedness to care for CYFC included: medical providers' lack of formal training, limited foster care knowledge, and feeling of preparedness contingent on access to SWs. Themes related to unique practice challenges included: identifying CYFC, obtaining consent, documenting foster care status, complex team communication, and navigating interpersonal stress. Participants' suggestions for improving their ability to care for CYFC included increasing SW capacity, expanding provider training, standardizing electronic medical record documentation and order sets, and improving team communication and information sharing. There are unique medical, social, and legal aspects of caring for hospitalized CYFC; pediatric medical providers receive limited training on these topics and rely heavily on SWs to navigate associated practice challenges. Targeted educational and health information technology interventions are needed to help inpatient providers feel better prepared to effectively meet the needs of CYFC.

Engagement with Electronic Medical Record Documentation for Prevention of Catheter-Associated Urinary Tract Infections

Engagement with Electronic Medical Record Documentation for Prevention of Catheter-Associated Urinary Tract Infections

Harnessing Electronic Medical Record Tools to Provide Proceduralist Feedback on Pediatric Endoscopy Quality Metrics.

In 2022, the Pediatric Endoscopy Quality Improvement Network published quality metrics related to pediatric endoscopy. We utilized electronic medical record (EMR) tools to collect pediatric endoscopy quality metrics (PEQM) and to standardize proceduralist feedback. EMR tools were created to capture and display PEQM: (1) an endoscopy documentation template, (2) nursing documentation of events during endoscopy for timed calculations, and (3) a data dashboard. Dashboard metrics provided individualized PEQM feedback relative to group performance and ideals where available. Utilization of the endoscopy documentation tools and data dashboard was measured. Utility was assessed using a survey based on the Technology Adoption Model. Adoption of documentation tools has been nearly universal with positive survey outcomes. Robust dashboard visualization has been demonstrated. Use of EMR documentation tools standardized PEQM collection. Future capture and sharing of common PEQM data across institutions could help determine PEQM benchmarks.

Electronic medical record documentation of germline genetic evaluations in patients with ovarian cancer.

Germline genetic evaluation is indicated for all patients with epithelial ovarian cancer (EOC). For testing to have clinical utility, results must be documented within the electronic medical record (EMR) and accessible to providers at the point of care, which can be challenging in the context of current EMR limitations and genetic testing processes. We examined the receipt of genetics services and EMR capture of genetic testing results in patients with EOC. We conducted a retrospective chart review to examine germline genetic evaluations among patients with EOC seen by a gynecologic or medical oncologist at the University of Pennsylvania in 2016. EMRs were reviewed to determine: (1) if patients were referred for genetic evaluation; (2) if genetic testing was performed; (3) if results were documented in office notes, scanned third-party test reports, and/or the EMR problem list; (4) if provider notes correctly listed the variant classification. Overall, 413 (62%) of patients had documented genetic testing. Genetic testing was documented in almost all provider notes (96%) and the majority of scanned EMR reports (64%). Pathogenic variants were found in 119 (29%) individuals; the majority (70%) had genetic testing documented within EMR problem lists. Provider notes were highly accurate in describing variant classification. In this study, genetic testing was performed and documented in the EMR for most EOC patients. Approximately one-third of those tested did not have scanned test reports specifying variant found, limiting the utility of test results for cascade testing and therapeutic decisions.