Articles: emergency-services.
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Observational Study
Concordance Between Electronic Health Record-Recorded Race and Ethnicity and Patient Report in Emergency Department Patients.
We assessed the concordance of patient-reported race and ethnicity for emergency department (ED) patients compared with what was recorded in the electronic health record. ⋯ Documentation discordance regarding race and ethnicity exists between electronic health records and self-reported data for our ED patients, particularly for ethnically Hispanic and Latino/a patients. Future efforts should focus on ensuring that demographic information in the electronic health record is accurately collected.
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Insufficient evidence-based recommendations to guide care for patients with devastating brain injuries (DBIs) leave patients vulnerable to inconsistent practice at the emergency department (ED) and intensive care unit (ICU) interface. We sought to characterize the beliefs of Canadian emergency medicine (EM) and critical care medicine (CCM) physician site directors regarding current management practices for patients with DBI. ⋯ In our survey of Canadian EM and CCM physician directors, 80% participated in WLSM in the ED for patients with DBI. Despite this, most supported ICU admission to optimize neuroprognostication and patient-centred end-of-life care, including organ donation.
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Ulus Travma Acil Cerrahi Derg · Aug 2024
Comparative Study Observational StudyAcil servis tanıları ile paramediklerin ilk değerlendirme tanılarının karşılaştırılması.
This study aims to evaluate the accuracy and quality of prehospital assessments and preliminary diagnoses made by Emergency Medical Services (EMS) providers compared to the final diagnoses given by Emergency Department physicians in a metropolitan area. ⋯ This study highlights the need for improved on-field training for EMS providers to enhance the accuracy and quality of prehospital assessments and preliminary diagnoses. The findings suggest that younger and male patients have higher preliminary diagnosis accuracy rates, and there is a noticeable decrease in accuracy during office hours, indicating potential areas for targeted training and protocol adjustments.
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Emergency Department (ED) Observation Units (OU) can provide safe, effective care for low risk patients with intracranial hemorrhages. We compared current ED OU use for patients with subdural hematomas (SDH) to the validated Brain Injury Guidelines (BIG) to evaluate the potential impact of implementing this risk stratification tool. ⋯ In a level 1 trauma center with an established observation unit, current clinical care processes missed very few patients who could be discharged or placed in ED OU for SDH. Hospital admissions in BIG 1/2 were driven by co-morbidities and/or injuries, limiting applicability of BIG to this population.
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A machine learning technology for addressing medication-related risk in older, multimorbid patients.
To evaluate the FeelBetter machine learning system's ability to accurately identify older patients with multimorbidity at Brigham and Women's Hospital at highest risk of medication-associated emergency department (ED) visits and hospitalizations, and to assess the system's ability to provide accurate medication recommendations for these patients. ⋯ The FeelBetter system effectively stratifies older patients with multimorbidity at risk of ED use and hospitalizations. Medication recommendations provided by the system are largely accurate and can potentially be beneficial for patient care.