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Outcomes and Diagnostic Spectrum of Paramedic-Suspected STEMI: Insights from a Statewide Registry
CardiologydiagnosisOutcomes

Outcomes and Diagnostic Spectrum of Paramedic-Suspected STEMI: Insights from a Statewide Registry

By MedXY|Oct 14, 2026

Paramedic-suspected STEMI identified a heterogeneous, high-acuity population where 60% had confirmed STEMI; outcomes vary by final diagnosis, underscoring the need for rapid reperfusion with early diagnostic refinement.

Agency-Level Variability in Futility Determinations and Termination of Resuscitation for Pediatric Out-of-Hospital Cardiac Arrest
Emergency Medicine救急医療サービスtermination of resuscitation

Agency-Level Variability in Futility Determinations and Termination of Resuscitation for Pediatric Out-of-Hospital Cardiac Arrest

By MedXY|Aug 14, 2026

A national study reveals significant variability across EMS agencies in decisions about resuscitation futility and termination for pediatric out-of-hospital cardiac arrests, highlighting critical impacts on care and outcomes.

Unequal Paths to Care: How Region, Rurality, and Deprivation Shape Transport to Verified Trauma Centers Among the Critically Injured
Emergency MedicineArea Deprivation Indexhealth equity

Unequal Paths to Care: How Region, Rurality, and Deprivation Shape Transport to Verified Trauma Centers Among the Critically Injured

By MedXY|May 20, 2026

A large U.S. study found major geographic and socioeconomic differences in how critically injured patients are transported to verified trauma centers, with outcomes varying by region, rurality, and neighborhood deprivation.

How Matching Algorithms Can Uncover True Patient Counts From Emergency Medical Services Data
Emergency MedicineData QualityEMS Response Matching

How Matching Algorithms Can Uncover True Patient Counts From Emergency Medical Services Data

By MedXY|Apr 13, 2026

A novel matching approach using 911 call time and patient characteristics can effectively identify duplicate EMS responses, enabling more accurate patient-level inferences from response-based datasets with 100% sensitivity and up to 98.6% s

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