Call me Dr Ishmael: trends in electronic health record notes available at emergency department visits and admissions.

Objectives: Numerous studies have identified information overload as a key issue for electronic health records (EHRs). This study describes the amount of text data across all notes available to emergency physicians in the EHR, trended over the time since EHR establishment. Materials and Methods: We conducted a retrospective analysis of EHR data from a large healthcare system, examining the number of notes and a corresponding number of total words and total tokens across all notes available to physicians during patient encounters in the emergency department (ED). We assessed the change in these metrics over a 17-year period between 2006 and 2023. Results: The study cohort included 730 968 ED visits made by 293 559 unique patients and a total note count of 132 574 964. The median note count for all encounters in 2006 was 5 (IQR 1-16), accounting for 1735 (IQR 447-5521) words. By the last full year of the study period, 2022, the median number of notes had grown to 359 (IQR 84-943), representing 359 (IQR 84-943) words. Note and word counts were higher for admitted patients. Discussion: The volume of notes available for review by providers has increased by over 30-fold in the 17 years since the implementation of the EHR at a large health system. The task of reviewing these notes has become commensurately more difficult. These data point to the critical need for new strategies and tools for filtering, synthesizing, and summarizing information to achieve the promise of the medical record.

Patient Preferences for Diagnostic Imaging: CTA vs MRA When Diagnosing Pulmonary Embolism.

OBJECTIVE: To identify preferences regarding choice of diagnostic imaging (computed tomographic angiography [CTA] vs magnetic resonance angiography [MRA]) for the evaluation of pulmonary embolism. METHODS: We conducted 4 focus group discussions with residents of 2 Wisconsin cities. Community members ≥18 years old were recruited via telephone using a commercially available telephone database. The discussions were audio recorded and professionally transcribed. Three investigators (a research specialist, emergency physician, and qualitative methodologist) independently analyzed these transcripts using inductive thematic coding to identify the overarching themes and underlying concepts. Intercoder discrepancies were resolved through consensus discussion by the reviewers. RESULTS: Focus groups were held over a 3-month period and included 29 participants (16 female). Ages were well represented: 18-30 (n = 7), 31-40 (n = 8), 41-55 (n = 6), and 56+ (n = 8) years old. Analysis revealed 3 central themes: time, risk, and experience. Participants who preferred CTA commonly cited the need for immediate results in the emergency department. When nonemergent scenarios were discussed, the option to undergo MRA was considered more strongly; participants weighed additional details like radiation and diagnostic accuracy. Regarding risks, discussants expressed concerns from multiple sources, including radiation and intravenous contrast. However, understanding of this risk varied across the groups. Prior experience with medical imaging-both personal and indirect experiences-carried considerable weight. CONCLUSIONS: Preferences regarding imaging choice in the diagnosis of pulmonary embolism were mixed, often reliant on vicarious experiences and an exaggerated notion of the difference in timing of imaging results. Participants frequently used incomplete or even incorrect information as the basis for decision-making.

Natural language processing and entrustable professional activity text feedback in surgery: A machine learning model of resident autonomy.

BACKGROUND: Entrustable Professional Activities (EPAs) contain narrative 'entrustment roadmaps' designed to describe specific behaviors associated with different entrustment levels. However, these roadmaps were created using expert committee consensus, with little data available for guidance. Analysis of actual EPA assessment narrative comments using natural language processing may enhance our understanding of resident entrustment in actual practice. METHODS: All text comments associated with EPA microassessments at a single institution were combined. EPA-entrustment level pairs (e.g. Gallbladder Disease-Level 1) were identified as documents. Latent Dirichlet Allocation (LDA), a common machine learning algorithm, was used to identify latent topics in the documents associated with a single EPA. These topics were then reviewed for interpretability by human raters. RESULTS: Over 18 months, 1015 faculty EPA microassessments were collected from 64 faculty for 80 residents. LDA analysis identified topics that mapped 1:1 to EPA entrustment levels (Gammas >0.99). These LDA topics appeared to trend coherently with entrustment levels (words demonstrating high entrustment were consistently found in high entrustment topics, word demonstrating low entrustment were found in low entrustment topics). CONCLUSIONS: LDA is capable of identifying topics relevant to progressive surgical entrustment and autonomy in EPA comments. These topics provide insight into key behaviors that drive different level of resident autonomy and may allow for data-driven revision of EPA entrustment maps.

Effect of a split-flow physician in triage model on abdominal CT ordering rate and yield.

OBJECTIVE: The objective of this study was to compare the rate and clinical yield of computed tomography (CT) imaging between patients presenting with abdominal pain initially seen by a physician in triage (PIT) versus those seen only by physicians working in the main emergency department (ED). METHODS: A retrospective study was conducted of all self-arrivals >18 years old presenting to a single ED with abdominal pain. Nine-hundred patients were randomly selected from both the PIT and traditional patient flow groups and rates and yields of CT imaging were compared, both alone and in a model controlling for potential confounders. Predetermined criteria for CT significance included need for admission, consult, or targeted medications. RESULTS: The overall rate of CT imaging (unadjusted) did not differ between the PIT and traditional groups, 48.7% (95% CI 45.4-51.9) vs. 45.1% (95% CI 41.8-48.4), respectively (p = .13). The CT yield for patients seen in in the PIT group was also similar to that of the traditional group: 49.1% (95% CI 44.4-53.8) vs. 50.5% (95% CI 45.6-55.4) (p = .68). In the logistic regression model, when controlling for age, gender, ESI-acuity, race and insurance payor, PIT vs. traditional was not a predictor of CT ordering (OR 1.14, 95% CI 0.94-1.38). CONCLUSIONS: For patients with abdominal pain, we found no significant differences in rates of CT ordering or CT yield for patients seen in a PIT vs. traditional models, suggesting the increased efficiencies offered by PIT models do not come at the cost of increased or decreased imaging utilization.

Entrustable Professional Activities in General Surgery: Trends in Resident Self-Assessment.

OBJECTIVE: Effective self-assessment is a cornerstone of lifelong professional development; however, evidence suggests physicians have a limited ability to self-assess. Novel strategies to improve the accuracy of learner self-assessment are needed. Our institution's surgical entrustable professional activity (EPA) implementation strategy incorporates resident self-assessment to address this issue. This study evaluates the accuracy of resident self-assessment versus faculty assessment across 5 EPAs in general surgery. DESIGN, SETTING, PARTICIPANTS: Within a single academic general surgery residency program, assessment data for 5 surgery EPAs was prospectively collected using a mobile application. Matched assessments (resident and faculty assessments for the same clinical encounter) were identified and the remainder excluded. Assessment scores were compared using Welch's t test. Agreement was analyzed using Cohen's kappa with squared weights. RESULTS: One thousand eight hundred and fifty-seven EPA assessments were collected in 17 months following implementation. One thousand one hundred and fifty-five (62.2%) were matched pairs. Residents under-rated their own performance relative to faculty assessments (2.36 vs 2.65, p < 0.01). This pattern held true for all subsets except for Postgraduate Year (PGY)2 residents and Inguinal Hernia EPAs. There was at least moderate agreement between matched resident and faculty EPA assessment scores (κ = 0.57). This was consistent for all EPAs except Trauma evaluations, which were completed by faculty from 2 different departments. Surgery resident self-assessments more strongly agreed with Surgery faculty assessments than Emergency Medicine faculty assessments (κ = 0.58 vs 0.36). CONCLUSIONS: Resident EPA self-assessments are equivalent or slightly lower than faculty assessments across a wide breadth of clinical scenarios. Resident and faculty matched assessments demonstrate moderate agreement.

Implementation of Entrustable Professional Activities into a General Surgery Residency.

OBJECTIVE: Concerns over resident ability to practice effectively after graduation have led to the competency-based medical education movement. Entrustable professional activities (EPAs) may facilitate competency-based medical education in surgery, but implementation is challenging. This manuscript describes 1 strategy used to implement EPAs into an academic general surgery residency. DESIGN, SETTING, PARTICIPANTS: A mobile application was developed incorporating 5 EPAs developed by the American Board of Surgery; residents and faculty from the Departments of Surgery, Emergency Medicine, and Hospital Medicine at a single tertiary care center were trained in its use. Entrustment levels and free text feedback were collected. Self-assessment was paired with supervisor assessment, and faculty assessments were used to inform clinical competency committee entrustment decisions. Feedback was regularly solicited from app users and results distributed on a monthly basis. RESULTS: One thousand seven hundred and twenty microassessments were collected over the first 16 months of implementation; 898 (47.8%) were performed by faculty with 569 (66.0%) matched pairs. Engagement was skewed with small numbers of high performers in both resident and faculty groups. Continued development of resident and faculty was required to sustain engagement with the program. Nonsurgical specialties contributed significantly to resident assessments (496, 28.8%). CONCLUSIONS: EPAs are being successfully integrated into the assessment framework at our institution. EPA implementation in surgery residency is a long-term process that requires investment, but may address limitations in the current assessment framework.

Development and validation of a pragmatic natural language processing approach to identifying falls in older adults in the emergency department.

BACKGROUND: Falls among older adults are both a common reason for presentation to the emergency department, and a major source of morbidity and mortality. It is critical to identify fall patients quickly and reliably during, and immediately after, emergency department encounters in order to deliver appropriate care and referrals. Unfortunately, falls are difficult to identify without manual chart review, a time intensive process infeasible for many applications including surveillance and quality reporting. Here we describe a pragmatic NLP approach to automating fall identification. METHODS: In this single center retrospective review, 500 emergency department provider notes from older adult patients (age 65 and older) were randomly selected for analysis. A simple, rules-based NLP algorithm for fall identification was developed and evaluated on a development set of 1084 notes, then compared with identification by consensus of trained abstractors blinded to NLP results. RESULTS: The NLP pipeline demonstrated a recall (sensitivity) of 95.8%, specificity of 97.4%, precision of 92.0%, and F1 score of 0.939 for identifying fall events within emergency physician visit notes, as compared to gold standard manual abstraction by human coders. CONCLUSIONS: Our pragmatic NLP algorithm was able to identify falls in ED notes with excellent precision and recall, comparable to that of more labor-intensive manual abstraction. This finding offers promise not just for improving research methods, but as a potential for identifying patients for targeted interventions, quality measure development and epidemiologic surveillance.

Training and Interpreting Machine Learning Algorithms to Evaluate Fall Risk After Emergency Department Visits.

BACKGROUND: Machine learning is increasingly used for risk stratification in health care. Achieving accurate predictive models do not improve outcomes if they cannot be translated into efficacious intervention. Here we examine the potential utility of automated risk stratification and referral intervention to screen older adults for fall risk after emergency department (ED) visits. OBJECTIVE: This study evaluated several machine learning methodologies for the creation of a risk stratification algorithm using electronic health record data and estimated the effects of a resultant intervention based on algorithm performance in test data. METHODS: Data available at the time of ED discharge were retrospectively collected and separated into training and test datasets. Algorithms were developed to predict the outcome of a return visit for fall within 6 months of an ED index visit. Models included random forests, AdaBoost, and regression-based methods. We evaluated models both by the area under the receiver operating characteristic (ROC) curve, also referred to as area under the curve (AUC), and by projected clinical impact, estimating number needed to treat (NNT) and referrals per week for a fall risk intervention. RESULTS: The random forest model achieved an AUC of 0.78, with slightly lower performance in regression-based models. Algorithms with similar performance, when evaluated by AUC, differed when placed into a clinical context with the defined task of estimated NNT in a real-world scenario. CONCLUSION: The ability to translate the results of our analysis to the potential tradeoff between referral numbers and NNT offers decisionmakers the ability to envision the effects of a proposed intervention before implementation.

What Are We Measuring? Evaluating Physician-Specific Satisfaction Scores Between Emergency Departments.

INTRODUCTION: Most emergency departments (ED) use patient experience surveys (i.e., Press Ganey) that include specific physician assessment fields. Our ED group currently staffs two EDs - one at a large, tertiary-care hospital, and the other at a small, affiliated, community site. Both are staffed by the same physicians. The goals of this study were to determine whether Press Ganey ED satisfaction scores for emergency physicians working at two different sites were consistent between sites, and to identify factors contributing to any variation. METHODS: We conducted a retrospective study of patients seen at either ED between September 2015 and March 2016 who returned a Press Ganey satisfaction survey. We compiled a database linking the patient visit with his or her responses on a 1-5 scale to questions that included "overall rating of emergency room care" and five physician-specific questions. Operational metrics including time to room, time to physician, overall length of stay, labs received, prescriptions received, demographic data, and the attending physician were also linked. We averaged scores for physicians staffing both EDs and compared them between sites using t-tests. Multiple logistic regression was used to determine the impact of visit-specific metrics on survey scores. RESULTS: A total of 1,012 ED patients met the inclusion criteria (site 1=457; site 2=555). The overall rating-of-care metric was significantly lower at the tertiary-care hospital ED compared to our lower volume ED (4.30 vs 4.65). The same trend was observed when the five doctor-specific metrics were summed (22.06 vs 23.32). Factors that correlated with higher scores included arrival-to-first-attending time (p=0.013) and arrival-to-ED-departure time (p=0.038), both of which were longer at the tertiary-care hospital ED. CONCLUSION: Press Ganey satisfaction scores for the same group of emergency physicians varied significantly between sites. This suggests that these scores are more dependent on site-specific factors, such as wait times, than a true representation of the quality of care provided by the physician.

By Default: The Effect of Prepopulated Prescription Quantities on Opioid Prescribing in the Emergency Department.

INTRODUCTION: Opioid prescribing patterns have come under increasing scrutiny with the recent rise in opioid prescriptions, opioid misuse and abuse, and opioid-related adverse events. To date, there have been limited studies on the effect of default tablet quantities as part of emergency department (ED) electronic order entry. Our goal was to evaluate opioid prescribing patterns before and after the removal of a default quantity of 20 tablets from ED electronic order entry. METHODS: We performed a retrospective observational study at a single academic, urban ED with 58,000 annual visits. We identified all adult patients (18 years or older) seen in the ED and discharged home with prescriptions for tablet forms of hydrocodone and oxycodone (including mixed formulations with acetaminophen). We compared the quantity of tablets prescribed per opioid prescription 12 months before and 10 months after the electronic order-entry prescription default quantity of 20 tablets was removed and replaced with no default quantity. No specific messaging was given to providers, to avoid influencing prescribing patterns. We used two-sample Wilcoxon rank-sum test, two-sample test of proportions, and Pearson's chi-squared tests where appropriate for statistical analysis. RESULTS: A total of 4,104 adult patients received discharge prescriptions for opioids in the pre-intervention period (151.6 prescriptions per 1,000 discharged adult patients), and 2,464 post-intervention (106.69 prescriptions per 1,000 discharged adult patients). The median quantity of opioid tablets prescribed decreased from 20 (interquartile ration [IQR] 10-20) to 15 (IQR 10-20) (p<0.0001) after removal of the default quantity. While the most frequent quantity of tablets received in both groups was 20 tablets, the proportion of patients who received prescriptions on discharge that contained 20 tablets decreased from 0.5 (95% confidence interval [CI] [0.48-0.52]) to 0.23 (95% CI [0.21-0.24]) (p<0.001) after default quantity removal. CONCLUSION: Although the median number of tablets differed significantly before and after the intervention, the clinical significance of this is unclear. An observed wider distribution of the quantity of tablets prescribed after removal of the default quantity of 20 may reflect more appropriate prescribing patterns (i.e., less severe indications receiving fewer tabs and more severe indications receiving more). A default value of 20 tablets for opioid prescriptions may be an example of the electronic medical record's ability to reduce practice variability in medication orders actually counteracting optimal patient care.

Using the Hendrich II Inpatient Fall Risk Screen to Predict Outpatient Falls After Emergency Department Visits.

OBJECTIVES: To evaluate the utility of routinely collected Hendrich II fall scores in predicting returns to the emergency department (ED) for falls within 6 months. DESIGN: Retrospective electronic record review. SETTING: Academic medical center ED. PARTICIPANTS: Individuals aged 65 and older seen in the ED from January 1, 2013, through September 30, 2015. MEASUREMENTS: We evaluated the utility of routinely collected Hendrich II fall risk scores in predicting ED visits for a fall within 6 months of an all-cause index ED visit. RESULTS: For in-network patient visits resulting in discharge with a completed Hendrich II score (N = 4,366), the return rate for a fall within 6 months was 8.3%. When applying the score alone to predict revisit for falls among the study population the resultant receiver operating characteristic (ROC) plot had an area under the curve (AUC) of 0.64. In a univariate model, the odds of returning to the ED for a fall in 6 months were 1.23 times as high for every 1-point increase in Hendrich II score (odds ratio (OR)=1.23 (95% confidence interval (CI)=1.19-1.28). When included in a model with other potential confounders or predictors of falls, the Hendrich II score is a significant predictor of a return ED visit for fall (adjusted OR=1.15, 95% CI=1.10-1.20, AUC=0.75). CONCLUSION: Routinely collected Hendrich II scores were correlated with outpatient falls, but it is likely that they would have little utility as a stand-alone fall risk screen. When combined with easily extractable covariates, the screen performs much better. These results highlight the potential for secondary use of electronic health record data for risk stratification of individuals in the ED. Using data already routinely collected, individuals at high risk of falls after discharge could be identified for referral without requiring additional screening resources.

The Impact of an Emergency Department Front-End Redesign on Patient-Reported Satisfaction Survey Results.

INTRODUCTION: For emergency department (ED) patients, delays in care are associated with decreased satisfaction. Our department focused on implementing a front-end vertical patient flow model aimed to decrease delays in care, especially care initiation. The physical space for this new model was termed the Flexible Care Area (FCA). The purpose of this study was to quantify the impact of this intervention on patient satisfaction. METHODS: We conducted a retrospective study of patients discharged from our academic ED over a one-year period (7/1/2013-6/30/2014). Of the 34,083 patients discharged during that period, 14,075 were sent a Press-Ganey survey and 2,358 (16.8%) returned the survey. We subsequently compared these survey responses with clinical information available through our electronic health record (EHR). Responses from the Press-Ganey surveys were dichotomized as being "Very Good" (VG, the highest rating) or "Other" (for all other ratings). Data abstracted from the EHR included demographic information (age, gender) and operational information (e.g. - emergency severity index, length of stay, whether care was delivered entirely in the FCA, utilization of labs or radiology testing, or administration of opioid pain medications). We used Fisher's exact test to calculate statistical differences in proportions, while the Mantel-Haenszel method was used to report odds ratios. RESULTS: Of the returned surveys, 62% rated overall care for the visit as VG. However, fewer patients reported their care as VG if they were seen in FCA (53.4% versus 63.2%, p=0.027). Patients seen in FCA were less likely to have advanced imaging performed (12% versus 23.8%, p=0.001) or labs drawn (24.8% vs. 59.1%, p=0.001). Length of stay (FCA mean 159 ±103.5 minutes versus non-FCA 223 ±117 minutes) and acuity were lower for FCA patients than non-FCA patients (p=0.001). There was no statistically significant difference between patient-reported ratings of physicians or nurses when comparing patients seen in FCA vs. those not seen in FCA. CONCLUSION: Patients seen through the FCA reported a lower overall rating of care compared to patients not seen in the FCA. This occurred despite a shorter overall length of stay for these patients, suggesting that other factors have a meaningful impact on patient satisfaction.

The Impact of Emergency Department Census on the Decision to Admit.

OBJECTIVE: We evaluated the effect of emergency department (ED) census on disposition decisions made by ED physicians. METHODS: We performed a retrospective analysis using 18 months of all adult patient encounters seen in the main ED at an academic tertiary care center. Patient census information was calculated at the time of physician assignment for each individual patient and included the number of patients in the waiting room (waiting room census) and number of patients being managed by the patient's attending (physician load census). A multiple logistic regression model was created to assess the association between these census variables and the disposition decision, controlling for potential confounders including Emergency Severity Index acuity, patient demographics, arrival hour, arrival mode, and chief complaint. RESULTS: A total of 49,487 patient visits were included in this analysis, of whom 37% were admitted to the hospital. Both census measures were significantly associated with increased chance of admission; the odds ratio (OR) per patient increase for waiting room census was 1.011 (95% confidence interval [CI] = 1.001 to 1.020), and the OR for physician load census was 1.010 (95% CI = 1.002 to 1.019). To put this in practical terms, this translated to a modeled rise from 35.3% to 40.1% when shifting from an empty waiting room and zero patient load to a 12-patient wait and 16-patient load for a given physician. CONCLUSION: Waiting room census and physician load census at time of physician assignment were positively associated with the likelihood that a patient would be admitted, controlling for potential confounders. Our data suggest that disposition decisions in the ED are influenced not only by objective measures of a patient's disease state, but also by workflow-related concerns.

The Association Between Use of Brain CT for Atraumatic Headache and 30-Day Emergency Department Revisitation.

OBJECTIVE: The purpose of this article is to describe the association between initial CT for atraumatic headache and repeat emergency department (ED) visitation within 30 days of ED discharge. MATERIALS AND METHODS: A retrospective observational study was performed at an academic urban ED with more than 85,000 annual visits. All adult patients with a chief complaint of headache from January through December 2010 who were discharged after ED evaluation were included in the analysis. Patients were excluded if they were transferred, died in the ED, or had a diagnosis indicating a traumatic mechanism. A propensity score-matched logistic regression model was used to determine whether the use of brain CT was associated with the primary outcome of ED revisitation within 30 days, controlling for potential confounding variables. RESULTS: Of 80,619 total patient visits to the ED during the study period, 922 ED discharges with a chief complaint of headache were included. A total of 139 (15.1%) patients revisited within 30 days. The return rate was 11.2% among patients who underwent CT at their initial visit and 21.1% among those who did not. In the adjusted analysis, controlling for age, race, sex, insurance status, triage vital signs, laboratory values, and triage pain level, the odds ratio for revisitation given CT performance was 0.49 (95% CI, 0.27-0.86). CONCLUSION: After adjustment for clinical factors, we found that patients who underwent a brain CT examination for atraumatic headache at an initial ED visit were less likely to return to the ED within 30 days. Future appropriate use quality metrics regarding ED imaging use may need to incorporate downstream health care use.

Incidence of actionable findings on contrast enhanced magnetic resonance angiography ordered for pulmonary embolism evaluation.

PURPOSE: To determine the incidence of actionable findings on contrast-enhanced magnetic resonance angiography (MRA) scans performed for the primary diagnosis of pulmonary embolism (PE). MATERIALS AND METHODS: This was a HIPAA-compliant and IRB-approved single center, retrospective study of consecutive series of patients evaluated with contrast-enhanced MRA for PE. The final radiology report of each MRA was reviewed. All technically adequate negative exams were included in the analysis. The findings were divided into three types: those requiring further action (actionable-Type 1) those not requiring follow-up (non-actionable-Type 2) and normal exams. We compared our results with the literature regarding the use of computed tomographic angiography (CTA) in this scenario using Fisher's exact test. RESULTS: 580 MRA scans for PE were performed. There were 561/580 (97%) technically adequate exams. Of these, 514/580 (89%) were negative and 47/580 (8%) were positive for PE. In the PE negative group of 514 exams, Type 1 findings were identified in 85/514 (17%), 188/514 (36%) cases were Type 2 and 241/514 (47.0%) were Type 3. There was no significant difference between the incidence of Type 1 and the combination of Type 2 and Type 3 findings on MRA and the reported incidence of actionable findings derived from CTA negative exams for PE (p<0.5). CONCLUSION: MRA as a first-line test for PE can identify actionable findings in those patients without PE, with an incidence similar to that reported in the literature for CTA.

Observation and inpatient status: clinical impact of the 2-midnight rule.

BACKGROUND: In response to growing concern over frequency and duration of observation encounters, the Centers for Medicare and Medicaid Services enacted a rules change on October 1, 2013, classifying most hospital encounters of <2 midnights as observation, and those ≥2 midnights as inpatient. However, limited data exist to predict the impact of the new rule. OBJECTIVE: To answer the following: (1) Will the rule reduce observation encounter frequency? (2) Are short-stay (<2 midnights) inpatient encounters often misclassified observation encounters? (3) Do 2 midnights separate distinct clinical populations, making this rule logical? (4) Do nonclinical factors such as time of day of admission impact classification under the rule? DESIGN, SETTING AND PATIENTS: Retrospective descriptive study of all observation and inpatient encounters initiated between January 1, 2012 and February 28, 2013 at a Midwestern academic medical center. MEASUREMENTS: Demographics, insurance type, and characteristics of hospitalization were abstracted for each encounter. RESULTS: Of 36,193 encounters, 4,769 (13.2%) were observation. Applying the new rules predicted a net loss of 14.9% inpatient stays; for Medicare only, a loss of 7.4%. Less than 2-midnight inpatient and observation stays were different, sharing only 1 of 5 top International Classification of Diseases, 9th Revision (ICD-9) codes, but for encounters classified as observation, 4 of 5 top ICD-9 codes were the same across the length of stay. Observation encounters starting before 8:00 am less commonly spanned 2 midnights (13.6%) than later encounters (31.2%). CONCLUSIONS: The 2-midnight rule adds new challenges to observation and inpatient policy. These findings suggest a need for rules modification.

Quality and safety implications of emergency department information systems.

The Health Information Technology for Economic and Clinical Health Act of 2009 and the Centers for Medicare & Medicaid Services "meaningful use" incentive programs, in tandem with the boundless additional requirements for detailed reporting of quality metrics, have galvanized hospital efforts to implement hospital-based electronic health records. As such, emergency department information systems (EDISs) are an important and unique component of most hospitals' electronic health records. System functionality varies greatly and affects physician decisionmaking, clinician workflow, communication, and, ultimately, the overall quality of care and patient safety. This article is a joint effort by members of the Quality Improvement and Patient Safety Section and the Informatics Section of the American College of Emergency Physicians. The aim of this effort is to examine the benefits and potential threats to quality and patient safety that could result from the choice of a particular EDIS, its implementation and optimization, and the hospital's or physician group's approach to continuous improvement of the EDIS. Specifically, we explored the following areas of potential EDIS safety concerns: communication failure, wrong order-wrong patient errors, poor data display, and alert fatigue. Case studies are presented that illustrate the potential harm that could befall patients from an inferior EDIS product or suboptimal execution of such a product in the clinical environment. The authors have developed 7 recommendations to improve patient safety with respect to the deployment of EDISs. These include ensuring that emergency providers actively participate in selection of the EDIS product, in the design of processes related to EDIS implementation and optimization, and in the monitoring of the system's ongoing success or failure. Our recommendations apply to emergency departments using any type of EDIS: custom-developed systems, best-of-breed vendor systems, or enterprise systems.

Effectiveness of MR angiography for the primary diagnosis of acute pulmonary embolism: clinical outcomes at 3 months and 1 year.

PURPOSE: To determine the effectiveness of MR angiography for pulmonary embolism (MRA-PE) in symptomatic patients. MATERIALS AND METHODS: We retrospectively reviewed all patients whom were evaluated for possible pulmonary embolism (PE) using MRA-PE. A 3-month and 1-year from MRA-PE electronic medical record (EMR) review was performed. Evidence for venous thromboembolism (VTE) (or death from PE) within the year of follow-up was the outcome surrogate for this study. RESULTS: There were 190 MRA-PE exams performed with 97.4% (185/190) of diagnostic quality. There were 148 patients (120 F: 28 M) that had both a diagnostic MRA-PE exam and 1 complete year of EMR follow-up. There were 167 patients (137 F: 30 M) with 3 months or greater follow-up. We found 83% (139/167) and 81% (120/148) MRA-PE exams negative for PE at 3 months and 1 year, respectively. Positive exams for PE were seen in 14% (23/167). During the 1-year follow-up period, five patients (false negative) were diagnosed with DVT (5/148 = 3.4 %), and one of these patients also experienced a non-life-threatening PE. The negative predictive value (NPV) for MRA-PE was 97% (92-99; 95% CI) at 3 months and 96% (90-98; 95% CI) with 1 year of follow-up. CONCLUSION: The NPV of MRA-PE, when used for the primary diagnosis of pulmonary embolism in symptomatic patients, were found to be similar to the published values for CTA-PE. In addition, the technical success rate and safety of MRA-PE were excellent.

Established and novel initiatives to reduce crowding in emergency departments.

INTRODUCTION: The American College of Emergency Physicians (ACEP) Task Force on Boarding described high-impact initiatives to decrease crowding. Furthermore, some emergency departments (EDs) have implemented a novel initiative we term "vertical patient flow," i.e. segmenting patients who can be safely evaluated, managed, admitted or discharged without occupying a traditional ED room. We sought to determine the degree that ACEP-identified high-impact initiatives for ED crowding and vertical patient flow have been implemented in academic EDs in the United States (U.S.). METHODS: We surveyed the physician leadership of all U.S. academic EDs from March to May 2010 using a 2-minute online survey. Academic ED was defined by the primary site of an emergency residency program. RESULTS: We had a response rate of 73% (106/145) and a completion rate of 71% (103/145). The most prevalent hospital-based initiative was inpatient discharge coordination (46% [47/103] of respondents) while the least fully initiated was surgical schedule smoothing (11% [11/103]). The most prevalent ED-based initiative was fast track (79% [81/103]) while the least initiated was physician triage (12% [12/103]). Vertical patient flow had been implemented in 29% (30/103) of responding EDs while an additional 41% (42/103) reported partial/in progress implementation. CONCLUSION: We found great variability in the extent academic EDs have implemented ACEP's established high-impact ED crowding initiatives, yet most (70%) have adopted to some extent the novel initiative vertical patient flow. Future studies should examine barriers to implementing these crowding initiatives and how they affect outcomes such as patient safety, ED throughput and patient/provider satisfaction.

Emergency department discharge prescription interventions by emergency medicine pharmacists.

STUDY OBJECTIVE: We determine the rate and details of interventions associated with emergency medicine pharmacist review of discharge prescriptions for patients discharged from the emergency department (ED). Additionally, we evaluate care providers' satisfaction with such services provided by emergency medicine pharmacists. METHODS: This was a prospective observational study in the ED of an academic medical center that serves both adult and pediatric patients. Details of emergency medicine pharmacist interventions on discharge prescriptions were compiled with a standardized form. Interventions were categorized as error prevention or optimization of therapy. The staff of the ED was surveyed related to the influence and satisfaction of this new emergency medicine pharmacist-provided service. RESULTS: The 674 discharge prescriptions reviewed by emergency medicine pharmacists during the study period included 602 (89.3%) for adult patients and 72 (10.7%) for pediatric patients. Emergency medicine pharmacists intervened on 68 prescriptions, resulting in an intervention rate of 10.1% (95% confidence interval [CI] 8.0% to 12.7%). The intervention rate was 8.5% (95% CI 6.4% to 11.1%) for adult prescriptions and 23.6% for pediatric prescriptions (95% CI 14.7% to 35.3%) (difference 15.1%; 95% CI 5.1% to 25.2%). There were a similar number of interventions categorized as error prevention and optimization of medication therapy, 37 (54%) and 31 (46%), respectively. More than 95% of survey respondents believed that the new pharmacist services improved patient safety, optimized medication regimens, and improved patient satisfaction. CONCLUSION: Emergency medicine pharmacist review of discharge prescriptions for discharged ED patients has the potential to significantly improve patient care associated with suboptimal prescriptions and is highly valued by ED care providers.