Emergency Medicine Clinical Trial
Official title:
Institute of Sciences in Emergency Medicine - International Big Data Centre in Emergency Medicine
This observational study aims to use electronic health records to build an International Big Data Centre in Emergency Medicine, within the Institute of Sciences in Emergency Medicine (ISEM) at the Guangdong Provincial People's Hospital. The main questions it seeks to answer are not limited to the following: - Identify the relationship between Emergency Department Length of Stay (EDLOS), Mortality, and Adverse Events (AE) - Identify the risk factors associated with high mortality and AE rate among patients who experience prolonged EDLOS - Other research questions related to emergency medicine, such as building prediction and cluster models for acute diseases
The relationship between the emergency department length-of-stay (EDLOS), mortality, and adverse events (AE) rate remains unclear and underestimated. EDLOS is the time elapsed between the time of arrival and the time of the release of a patient admitted to ED. Mortality is defined as short-term (14 hours, 48 hours, 7 days, 15 days) and 30 days death of patients managed in the ED discharged or admitted. An AE is an event that can result whether from medical mismanagement or happen by accident and causes physical and mental harm to the patient during the stay and remains after leaving. To separate the mismanagement from accidental causes i.e., compliant management but the unfortunate situation or persons, this study will refer to indicators that are objectively measurable and can be compared at different times throughout the patient's stay in the ED. The hypothesis is that a prolonged stay of the patients in the ED especially without diagnosis or decision of admission is associated with increased mortality and AEs. This project will test this hypothesis through a prospective international multicenter study in contributing to whether a prolonged EDLOS is associated with an increased rate of adverse outcomes. ;
Status | Clinical Trial | Phase | |
---|---|---|---|
Completed |
NCT04021771 -
Trial of Simulation-based Mastery Learning to Communicate Diagnostic Uncertainty
|
N/A | |
Not yet recruiting |
NCT06372379 -
Development of a Multipurpose Dashboard to Monitor the Situation of Emergency Departments
|
||
Not yet recruiting |
NCT06354764 -
Propensity to Hospitalize Patients From the ED in European Centers.
|
||
Completed |
NCT05870137 -
Assessing Mixed Reality for Emergency Medical Care Delivery in a Simulated Environment
|
N/A | |
Completed |
NCT05073406 -
Cognition at Altitude in HEMS - Part II
|
N/A | |
Completed |
NCT03457272 -
Development and Evaluation of a Patient Safety Model
|
N/A | |
Completed |
NCT04138446 -
Effects of Acute Hypobaric Hypoxia Exposure on Neurocognitive Performance of Pre-hospital Emergency Service Providers
|
N/A | |
Completed |
NCT02661607 -
Point of Care Echocardiography Versus Chest Radiography for the Assessment of Central Venous Catheter Placement
|
N/A | |
Recruiting |
NCT05937763 -
ED Adaptive Staffing Study
|
||
Completed |
NCT03848559 -
Airway Management With Simulated Microgravity Using a Submerged Model
|
N/A | |
Completed |
NCT04328519 -
The Charlson Comorbidity Index: Predicting Severity in Emergency Departments
|
||
Completed |
NCT03314480 -
REDucing Unnecessary Computed Tomography Imaging for MaxillOfacial INjury
|
||
Enrolling by invitation |
NCT05809648 -
A Study to Assess the Accuracy of Magnetocardiography (MCG) to Diagnose True Ischemia in Patients With Chest Pain in the ED
|
||
Completed |
NCT03099915 -
Asthma Attack in the Emergency Department : Reasons Of This Attendance
|
||
Completed |
NCT04206566 -
Pre-hospital Advanced Airway Management Studying Expedited Routines
|
||
Completed |
NCT03733158 -
Flexible Tip Bougie Catheter Intubation
|
N/A | |
Completed |
NCT03420027 -
Prehospital and Emergency Feasibility of MACOCHA Score Assessment to Predict Difficult Tracheal Intubation
|
||
Recruiting |
NCT03486171 -
Tracheal Intubation and Prehospital Emergency Setting
|
||
Not yet recruiting |
NCT06240572 -
Development of a Natural Language Processing Tool to Enable Clinical Research in Emergency Medicine
|
||
Completed |
NCT00448331 -
Facilitated Referral for Children Screening Positive for Mental Illness
|
Phase 0 |