Find research datasets worth reusing

controlledIPD-YESFeb 2026View details →

Lower Vs. Standard Insulin-Dextrose Doses for Treating Mild to Moderate Hyperkalemia in the Emergency Department

ClinicalTrials.gov study NCT06724991. IPD Sharing: YES. Countries: 1. Publications: 12.

controlledIPD-YESFeb 2026View details →

Appropriate Use of Blood Cultures in the Emergency Department Through Machine Learning

ClinicalTrials.gov study NCT06163781. IPD Sharing: YES. Countries: 1. Publications: 3.

Comparison of Traditional and Ultrasound-Guided Techniques for Vascular Access in Patients With Difficult Venous Access in Emergency Department.

ClinicalTrials.gov study NCT07013994. IPD Sharing: NO. Countries: 1. Publications: 12.

Effectiveness of Subcutaneous Glargine On The Time To Closure of The Anion Gap in Patients Presenting to the Emergency Department With Diabetic Keto-acidosis

ClinicalTrials.gov study NCT02006342. IPD Sharing: Not stated. Countries: 1. Publications: 2.

Computed Tomography Coronary Angiogram (CTCA) Versus Traditional Care in Emergency Department Assessment of Potential Acute Coronary Syndromes (ACS)

ClinicalTrials.gov study NCT00933400. IPD Sharing: Not stated. Countries: 1. Publications: 2.

Rapid Diagnostics for Upper Respiratory Infections in the Emergency Department

ClinicalTrials.gov study NCT02957136. IPD Sharing: NO. Countries: 1. Publications: 1.

The Efficacy of Tamsulosin in the Treatment of Ureteral Stones in Emergency Department Patients

ClinicalTrials.gov study NCT00448123. IPD Sharing: NO. Countries: 1. Publications: 1.

Low Dose Ketamine Versus Morphine for Moderate to Severe Pain in the Emergency Department

ClinicalTrials.gov study NCT01835262. IPD Sharing: NO. Countries: 1. Publications: 5.

Propofol Versus Ketamine for Moderate Procedural Sedation in the Emergency Department (ED)

ClinicalTrials.gov study NCT00997321. IPD Sharing: Not stated. Countries: 1. Publications: 1.

publicJan 2024View details →

dryad36/100

Assessing the use of HL7 FHIR for implementing the FAIR guiding principles: A case study of the MIMIC-IV emergency department module

Open the record for dataset details and reuse information.

opencc-zeroDec 2017View details →

Data from: HIV testing in a South African emergency department: a missed opportunity

Background: South Africa (SA) has the highest burden of HIV infection in the world. Even though HIV testing is mandated in all hospital-based facilities in SA, it is rarely implemented in the emergency department (ED). EDs are episodic care centers that provide care to large volumes of undifferentiated patients for short periods of time, and may treat undiagnosed HIV-infected patients not captured through standard clinic based screenings. Methods and Findings: In this prospective study, we implemented the National South African HIV testing guidelines, including 24-hours a day counselor initiated HIV Counseling and Testing (HCT), at Frere Hospital in the Eastern Cape from September 1 to November 30, 2016. All patients that presented for care in the ED during the study period, and who were clinically stable and fully conscious, were eligible to be approached by HCT staff to receive a rapid point-of-care HIV test. A total of 2355 of the 9583 (24.6%) patients that presented to the ED for care during the study period were approached by the HCT staff, of whom 1852 were enrolled in the study. There was high uptake of HIV testing (78.6%) among a predominantly male (58%) patient group that mostly presented with traumatic injuries (70.8%). Four hundred (21.6%) of the enrolled patients were HIV positive, including 115 (6.2%) with previously undiagnosed HIV infection. The overall prevalence of HIV infection in females (29.8%) was twice that compared to males (15.4%), despite the burden of undiagnosed infection being similar (6.0% for all females and 6.4% for all males). Conclusions: Overall there was a high HIV testing uptake that revealed a significant burden of undiagnosed HIV infection in this setting, especially in young males. Future research should focus on testing optimization, and efficient linkage to care from the ED for antiretroviral therapy initiation.

opencc-zeroNov 2019View details →

Data from: Diagnostic accuracy of presepsin in predicting bacteremia in elderly patients admitted to the emergency department: prospective study in Japan

Objective <a name="_Hlk1399924">Early detection of bacteremia in the elderly is needed in the emergency department (ED). </a> <a name="_Hlk11878757">Design, Setting, and Participants</a> Prospective study in Japan, single center trial in patients who satisfied the sepsis criteria was conducted between September 2014 and March 2016. Forty-six elderly patients aged ≥70 years were included. Interventions Blood sampling to evaluate C-reactive protein (CRP), procalcitonin (PCT) and presepsin plasma levels; two sets of blood sampling for bacterial cultures; and evaluations of the Sequential Organ Failure Assessment (SOFA) and Acute Physiology and Chronic Health Evaluation (APACHE II) scores were performed upon arrival at the ED. The results were compared between patients with bacteremia and those without bacteremia. <a name="_Hlk11878769">Main Outcome Measure</a> The accuracy of detecting bacteremia Results The presepsin value was significantly higher in the bacteremia group than in the non-bacteremia group (866.6 ± 184.6 pg/mL vs. 639.9 ± 137.1 pg/mL, p = 0.03). The PCT and CRP did not significantly differ between the groups. The area under the receiver-operating-characteristic curve (AUC) values were not significantly different among presepsin (0.69), PCT (0.61), and CRP (0.53). Multivariate analysis showed that presepsin was independently associated with bacteremia (odds ratio, 8.84; 95% confidence interval, 0.95–81.79; p = 0.02). Conclusion<a name="_Hlk1399945"></a> Presepsin could be a good biomarker to predict bacteremia in elderly patients with sepsis criteria admitted to the ED.

opencc-zeroJan 2020View details →

Forecasting hourly emergency department arrival using time series analysis

Background/aims The stochastic arrival of patients at hospital emergency departments complicates their management. More than 50% of a hospital's emergency department tends to operate beyond its normal capacity and eventually fails to deliver high-quality care. To address this concern, much research has been carried out using yearly, monthly and weekly time-series forecasting. This article discusses the use of hourly time-series forecasting to help improve emergency department management by predicting the arrival of future patients. Methods Emergency department admission data from January 2014 to August 2017 was retrieved from a hospital in Iowa. The auto-regressive integrated moving average (ARIMA), Holt–Winters, TBATS, and neural network methods were implemented and compared as forecasters of hourly patient arrivals. Results The auto-regressive integrated moving average (3,0,0) (2,1,0) was selected as the best fit model, with minimum Akaike information criterion and Schwartz Bayesian criterion. The model was stationary and qualified under the Box–Ljung correlation test and the Jarque–Bera test for normality. The mean error and root mean square error were selected as performance measures. A mean error of 1.001 and a root mean square error of 1.55 were obtained. Conclusions The auto-regressive integrated moving average can be used to provide hourly forecasts for emergency department arrivals and can be implemented as a decision support system to aid staff when scheduling and adjusting emergency department arrivals.

zenodo32/100

yaleemmlc/admissionprediction: Predicting hospital admission at emergency department triage using machine learning - Data and Scripts

First release for PLOS One. Please cite original paper for all research using this dataset.

openother-openJul 2018View details →

zenodo32/100

Attitudes towards influenza vaccination coverage among emergency department personnel

This is a dataset containing answers from Bavarian emergency department personnel to questions related to attitudes towards (influenza) vaccination. The two tables contain questionnaire data from two different time periods (A: 2016/17 and B: 2020/21). Variables and variable names are labelled and should be self explanatory but are in German. The tables contain the original data but variables possibly allowing re-identification of individuals (site, age, number) have been omitted for anonymization reasons. Questions and queries are very welcome! (the questionnaire including the original layout (in German) is available from the authors upon request)

opencc-by-4.0Sep 2021View details →

opencc-zeroApr 2023View details →

Use of the Electronic Medical Record to screen for high-risk geriatric patients in the Emergency Department

Introduction Older adults with multi-morbidities have the highest rate of ED usage. These patients are typically on numerous medications, may have underlying dementia, and often present with falls and delirium. Identifying these high-risk older adults for possible intervention is challenging in the ED setting since available screening methods are manual and resource-intensive. The objective is to study the feasibility of using the Electronic Medical Record (EMR) for identifying high-risk older adults in Emergency Department (ED). Study Setting Academic ED with 67,000 total and 24% geriatric (age ≥ 65 years) annual visits, American College of Emergency Physician (ACEP) accredited Level 1 Geriatric Emergency Department with ED-based geriatric consultation program. Materials and Methods This is a feasibility study incorporating criteria from existing manual geriatric screening instruments and the 4M framework into an automated EMR screen to identify high-risk geriatric patients. ED providers were then alerted by an EMR Best Practice Alert (BPA) if high-risk status was identified. Initial development and impact on geriatric ED consults are reported. Results During the study period, 7,450 patient encounters occurred; 1,836 (24.6%) encounters involved patients who were 65 years or older. 1398 (76.1%) high-risk ED encounters resulted in BPA alerts using the EMR automated screen. BPA alerts resulted in 82 (5.9%) geriatric evaluations. Conclusion Using the EMR to automate screening for older adults for high-risk geriatric conditions in the ED is feasible. An automated EMR screen with a BPA to ED providers identified a well-defined cohort of older patients appropriate for further ED geriatric evaluation.

Stress Biomarkers Among Patients Undergoing Treatment for Excited Delirium and Severe Pain in the Emergency Department

ClinicalTrials.gov study NCT01747824. IPD Sharing: Not stated. Countries: 1. Publications: 1.

An Assessment of Voluntary Adolescent Mental Health Screening and Referral in a Children's Hospital Emergency Department

ClinicalTrials.gov study NCT00750412. IPD Sharing: Not stated. Countries: 1. Publications: 1.

STAT-ED: Suicidal Teens Accessing Treatment After an Emergency Department Visit

ClinicalTrials.gov study NCT01779414. IPD Sharing: Not stated. Countries: 1. Publications: 1.

Study of IV Ketamine for Emergency Department Treatment of Adolescent Suicidal Ideation

ClinicalTrials.gov study NCT05468840. IPD Sharing: NO. Countries: 1. Publications: 1.