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Dataset results
276 results for “emergency care”
OpenChart-SE: A corpus of artificial Swedish electronic health records for imagined emergency care patients written by physicians in a crowd-sourcing project
<p>Electronic health records (EHRs) are a rich source of information for medical research and public health monitoring. Information systems based on EHR data could also assist in patient care and hospital management. However, much of the data in EHRs is in the form of unstructured text, which is difficult to process for analysis. Natural language processing (NLP), a form of artificial intelligence, has the potential to enable automatic extraction of information from EHRs and several NLP tools adapted to the style of clinical writing have been developed for English and other major languages. In contrast, the development of NLP tools for less widely spoken languages such as Swedish has lagged behind. A major bottleneck in the development of NLP tools is the restricted access to EHRs due to legitimate patient privacy concerns. To overcome this issue we have generated a citizen science platform for collecting artificial Swedish EHRs with the help of Swedish physicians and medical students. These artificial EHRs describe imagined but plausible emergency care patients in a style that closely resembles EHRs used in emergency departments in Sweden. In the pilot phase, we collected a first batch of 50 artificial EHRs, which has passed review by an experienced Swedish emergency care physician. We make this dataset publicly available as OpenChart-SE corpus (version 1) under an open-source license for the NLP research community. The project is now open for general participation and Swedish physicians and medical students are invited to submit EHRs on the project website (<a href="https://github.com/Aitslab/openchart-se">https://github.com/Aitslab/openchart-se</a>), where additional batches of quality-controlled EHRs will be released periodically. </p> <p> </p> <p><strong>Dataset content</strong></p> <p><em>OpenChart-SE, version 1 corpus (txt files and and dataset.csv)</em></p> <p>The OpenChart-SE corpus, version 1, contains 50 artificial EHRs (note that the numbering starts with 5 as 1-4 were test cases that were not suitable for publication). The EHRs are available in two formats, structured as a .csv file and as separate textfiles for annotation. Note that flaws in the data were not cleaned up so that it simulates what could be encountered when working with data from different EHR systems. All charts have been checked for medical validity by a resident in Emergency Medicine at a Swedish hospital before publication.</p> <p> </p> <p><em>Codebook.xlsx</em></p> <p>The codebook contain information about each variable used. It is in XLSForm-format, which can be re-used in several different applications for data collection.</p> <p> </p> <p><em>suppl_data_1_openchart-se_form.pdf</em></p> <p>OpenChart-SE mock emergency care EHR form.</p> <p> </p> <p><em>suppl_data_3_openchart-se_dataexploration.ipynb</em></p> <p>This jupyter notebook contains the code and results from the analysis of the OpenChart-SE corpus.</p> <p> </p> <p>More details about the project and information on the upcoming preprint accompanying the dataset can be found on the project website (<a href="https://github.com/Aitslab/openchart-se">https://github.com/Aitslab/openchart-se</a>).</p>
Effects of Code Sepsis Implementation on Emergency Department (ED) Sepsis Care
ClinicalTrials.gov study NCT04148989. IPD Sharing: YES. Countries: 1. Publications: 1.
Emergency Medicine Palliative Care Access
ClinicalTrials.gov study NCT03325985. IPD Sharing: YES. Countries: 1. Publications: 14.
PIMPmyHospital: a Mobile App to Improve Emergency Care Efficiency and Communication
ClinicalTrials.gov study NCT05203146. IPD Sharing: YES. Countries: 1. Publications: 2.
Effect of Emergency Department Care Reorganization on Door-to-antibiotic Times for Sepsis (LDS SWARM)
ClinicalTrials.gov study NCT03226366. IPD Sharing: YES. Countries: 1. Publications: 1.
Assessing the Nature and Quality of Emergency Obstetric Care for Preventing Maternal and Perinatal Mortality in 8 Secondary and Tertiary Hospitals in Nigeria: Results of a Formative Research Study
<p>Nigeria suffers some of the highest rates of maternal and perinatal mortality in the world. Poor quality of obstetric care is a key factor, and although not quantified at a national level, local studies suggest that high rates of maternal and perinatal deaths are due to clinical management errors in hospitals. This project therefore explored the nature of existing practices and quality of clinical management of three leading causes of maternal and perinatal deaths (primary postpartum haemorrhage, eclampsia, and obstructed labour); implement an intervention package aimed at improving the quality of clinical management of these causes of deaths; and test the effectiveness of this package on quality of care indicators and maternal and perinatal outcomes. </p> <p>The study follows a quasi-experimental research design, using interrupted time series analysis for assessment over a three year period. Six public secondary care hospitals and two public tertiary care hospitals in both north and south of Nigeria were selected randomly. Formative research was conducted in all eight hospitals, and thereafter the intervention will be carried out in four hospitals, with the remaining four hospitals functioning as control sites. </p> <p>Clinical outcomes will be compared between intervention and control sites in a total of 2334 cases of PPH, preeclampsia/eclampsia and obstructed labour (based on an anticipated 50% reduction in case fatality rates, significance level of 0.05 and 80% power). This will consist of 1167 cases in the intervention sites and 1167 in the control sites. Maternal and perinatal mortality rates will serve as primary outcome measures. Secondary outcomes involve quality of care drawn from United Nations process indicators, skilled attendance index and data derived from this formative audit phase of the project.</p> <p>The results will enable the identification of a system-wide quality of care framework for improving the delivery of emergency obstetric care for the prevention of maternal and perinatal morbidity and mortality in Nigeria.</p>
Assessing the Nature and Quality of Emergency Obstetric Care for Preventing Maternal and Perinatal Mortality in 8 Secondary and Tertiary Hospitals in Nigeria: Results of a Formative Research Study
<p>Nigeria suffers some of the highest rates of maternal and perinatal mortality in the world. Poor quality of obstetric care is a key factor, and although not quantified at a national level, local studies suggest that high rates of maternal and perinatal deaths are due to clinical management errors in hospitals. This project therefore explored the nature of existing practices and quality of clinical management of three leading causes of maternal and perinatal deaths (primary postpartum haemorrhage, eclampsia, and obstructed labour); implement an intervention package aimed at improving the quality of clinical management of these causes of deaths; and test the effectiveness of this package on quality of care indicators and maternal and perinatal outcomes. </p> <p>The study follows a quasi-experimental research design, using interrupted time series analysis for assessment over a three year period. Six public secondary care hospitals and two public tertiary care hospitals in both north and south of Nigeria were selected randomly. Formative research was conducted in all eight hospitals, and thereafter the intervention will be carried out in four hospitals, with the remaining four hospitals functioning as control sites.</p> <p>Clinical outcomes will be compared between intervention and control sites in a total of 2334 cases of PPH, preeclampsia/eclampsia and obstructed labour (based on an anticipated 50% reduction in case fatality rates, significance level of 0.05 and 80% power). This will consist of 1167 cases in the intervention sites and 1167 in the control sites. Maternal and perinatal mortality rates will serve as primary outcome measures. Secondary outcomes involve quality of care drawn from United Nations process indicators, skilled attendance index and data derived from this formative audit phase of the project.</p> <p>The results will enable the identification of a system-wide quality of care framework for improving the delivery of emergency obstetric care for the prevention of maternal and perinatal morbidity and mortality in Nigeria</p>
Assessing the Impact of an Intervention to Improve the Quality of Emergency Obstetric Care on Maternal Health in Nigeria
<p>Nigeria suffers some of the highest rates of maternal and perinatal mortality in the world. Poor quality of obstetric care is a key factor, and although not quantified at a national level, local studies suggest that high rates of maternal and perinatal deaths are due to clinical management errors in hospitals. This project therefore explored the nature of existing practices and quality of clinical management of three leading causes of maternal and perinatal deaths (primary postpartum haemorrhage, eclampsia, and obstructed labour); implement an intervention package aimed at improving the quality of clinical management of these causes of deaths; and test the effectiveness of this package on quality of care indicators and maternal and perinatal outcomes. </p> <p> </p> <p>The study follows a quasi-experimental research design, using interrupted time series analysis for assessment over a three year period. Six public secondary care hospitals and two public tertiary care hospitals in both north and south of Nigeria were selected randomly. Formative research was conducted in all eight hospitals, and thereafter the intervention will be carried out in four hospitals, with the remaining four hospitals functioning as control sites. The package consists of training in use of evidence-based clinical protocols on postpartum haemorrhage (PPH), preeclampsia/eclampsia and obstructed labour, audit and feedback, reminders, commodity supply monitoring and replenishments and patients’ education. </p> <p> </p> <p>Clinical outcomes will be compared between intervention and control sites in a total of 2334 cases of PPH, preeclampsia/eclampsia and obstructed labour (based on an anticipated 50% reduction in case fatality rates, significance level of 0.05 and 80% power). This will consist of 1167 cases in the intervention sites and 1167 in the control sites. Maternal and perinatal mortality rates will serve as primary outcome measures. Secondary outcomes involve quality of care drawn from United Nations process indicators, skilled attendance index and data derived from the formative audit phase of the project.</p> <p> </p> <p>The results will enable the identification of a system-wide quality of care framework for improving the delivery of emergency obstetric care for the prevention of maternal and perinatal morbidity and mortality in Nigeria.</p>
What harms and what hinders de-implementation of low-value care in emergency medicine practice ? A scoping review
<p><span>Low-value care can harm patients and healthcare systems. </span><span>Despite a decade of global endeavours, low-value care has persisted. Identification of barriers and enablers is essential for effective de-implementation of low-value care. This scoping review is an evidence summary of barriers, enablers and features of effective interventions for de-implementation of low-value care in emergency medicine practice worldwide.</span></p>
"Abdominal pain in emergency departments in a well-developed primary care system, a retrospective observational study"
<p>This is the dataset that is used for the original article:</p> <p>“Abdominal pain in emergency departments in a well-developed primary care system, a retrospective observational study”</p>
Computer Code and Data - Determination of server location in emergency care systems: an index proposal using Data Envelopment Analysis and the Hypercube Queuing Model
<p>Computer code and data related to the research project "Determination of server location in emergency care systems: an index proposal using Data Envelopment Analysis and the Hypercube Queuing Model".</p>
Program of Intensive Support in Emergency Departments for Care Partners of Cognitively Impaired Patients
ClinicalTrials.gov study NCT03325608. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Use of Ocular Point of Care Ultrasound in Diagnosing Retinal Detachment in the Emergency Department
ClinicalTrials.gov study NCT03106025. IPD Sharing: YES. Countries: 1. Publications: 13.
Accuracy of Pediatric Emergency Medicine Providers in Diagnosing Hip Effusions Using Point of Care Ultrasound
ClinicalTrials.gov study NCT05971745. IPD Sharing: YES. Countries: 2. Publications: 17.
Extended-release Naltrexone and Care Management for Alcohol Dependent Frequent Emergency Department Users
ClinicalTrials.gov study NCT02445339. IPD Sharing: Not stated. Countries: 1. Publications: 7.
Motivational Interview Intervention to Help Patients Formulate Their Goals for Medical Care in the Emergency Department
ClinicalTrials.gov study NCT03208530. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Emergency Department Longitudinal Integrated Care
ClinicalTrials.gov study NCT03699085. IPD Sharing: NO. Countries: 1. Publications: 1.
Advance Care Planning in the Emergency Department
ClinicalTrials.gov study NCT05209880. IPD Sharing: NO. Countries: 1. Publications: 3.
EmergeNcy Department Apneic Oxygenation Versus Usual Care During Rapid Sequence Intubation
ClinicalTrials.gov study NCT02737917. IPD Sharing: NO. Countries: 1. Publications: 11.
Discharge Information and Support for Patients Receiving Outpatient Care in the Emergency Department
ClinicalTrials.gov study NCT01717976. IPD Sharing: NO. Countries: 1. Publications: 4.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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International Brain Laboratory public data
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OpenNeuro
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