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MPDS

Is Emergency Medical Dispatcher Low-Acuity Code Selection Influenced by a User-Interface Software Modification?

Greg Scott, MBA, EMD-QI, Christopher Olola, PhD, Isabel Gardett, PhD, Meghan Broadbent, MS, Srilakshmi Sangaraju, MS, Bryon Schultz, BA, Lisa Burnette, Jeff J. Clawson, MD

Sep 06, 2018|AEDR 2018 Vol. 6 Issue 2|Original Research

Sick Person (Specific Diagnosis) is one of the most commonly used Chief Complaint Protocols in the Medical Priority Dispatch System™. Within the Sick Person Protocol, the 26-A-1 coding represents a group of patients with no specific identifiable complaint. This vague categorization presents a problem for dispatch systems and EMS responders alike, since so little is captured about the patient's true condition. The objective of this study was to determine whether changing the order of the "No" answer choice on the...

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RoboDispatcher with Nick Nudell

AEDR Editorial Team

Jul 24, 2018|Dispatch in Depth

Isabel talks with Nick Nudell, interim EMS chief for UC Health in Colorado and the chief data officer for The Paramedic Foundation. They discuss the difference between artificial intelligence and machine learning, how AI can enhance the emergency dispatch experience, and whether or not emergency dispatchers will ever be...

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Ist die Verwendung des Diagnoseinstruments zur Schlaganfallerkennen von Bedeutung?

AEDR Editorial Team

Dec 18, 2017|Research Briefs

IST DIE VERWENDUNG DES DIAGNOSEINSTRUMENTS ZUR SCHLAGANFALLERKENNUNG VON BEDEUTUNG? Ja! Es spart Zeit und rettet Gehirnmasse. Schlaganfälle unterbrechen die Blutversorgung zu einem Teil des Gehirns durch eine Blockierung oder Blutung. Die Zeitdauer, über die ein Schlaganfall die Blutzufuhr unterbricht, bestimmt den Umfang des verursachten Gehirnschadens. Die zügige Wiederherstellung des normalen Blutflusses zum Gehirn ist von entscheidender Bedeutung und erfordert eine intelligente Identifizierung und einen zeitnahen Einsatz. Medizinische Notfalldisponenten (Emergency Medical Dispatcher, kurz...

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Stroke of Genius with Chuck Gipson

AEDR Editorial Team

Dec 12, 2017|Dispatch in Depth

Isabel talks with Chuck Gipson, Quality and Education Manager for MEDIC EMS. They discuss how emergency dispatchers were instrumental in getting the prehospital stroke alert off the ground, the importance of getting a stroke patient help as soon as possible, and building trust between dispatch centers, paramedics, and hospitals...

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Effects of a Prehospital Emergency Care System on the Treatment and Prognosis of Stroke Patients

Liu Ru-lu, Luo Meng-yue, Li Ying

Mar 22, 2017|AEDR 2017 Vol. 5 Issue 1|Original Research

We sought to study a recently implemented prehospital emergency care system and its effects on the treatment level and prognosis of stroke patients. Prior to the introduction of the new system, no dispatch triage or prehospital care was available, and most patients accessed emergency care directly, without calling an emergency number. From April 2014 to March 2015, at our associate hospital's emergency department, 325 first-time acute stroke patients were admitted to the emergency department. This cohort was divided according to hospital admission method...

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Characterization of Hospital-Confirmed Stroke Evidence for Callers Who Were Unable to Complete Stroke Test Requests from the Emergency Medical Dispatcher

Christopher Olola, PhD, Greg Scott, MBA, EMD-QI, Isabel Gardett, PhD, Jeff J. Clawson, MD

Aug 28, 2016|AEDR 2016 Vol. 4 Issue 2|Original Research

The findings of a recent study suggest that a patient's inability to complete all three tasks in a stroke identification tool used by Emergency Medical Dispatchers (EMDs) is a uniquely strong predictor of stroke. To examine the characteristics of the 17 cases in which the patient was unable to complete all three tasks in the Stroke Diagnostic Tool (SDxT). The retrospective descriptive study utilized stroke data from three sources in Salt Lake County, Utah, USA—Emergency Medical Dispatch, emergency medical services (EMS), and receiving hospitals—for...

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Emergency Communication Nurse System Outcomes of Advanced Medical Priority Dispatch Codes in a UK ambulance service: A descriptive analysis.

Mike Brady, PhD, Mark Conrad Fivaz, MD, Peter Noblett, Christoper Olola, PhD, Greg Scott, MBA, EMD-QI

Feb 13, 2024|AEDR 2024 Vol. 12 Issue 1|Original Research

Most United Kingdom (UK) ambulance services undertake remote clinical consultation of 999 emergency calls, often using computerised decision support systems, such as the Emergency Communication Nurse System (ECNS). In 2021 the Welsh Ambulance Services NHS Trust implemented ECNS in a novel way. Both nurses and paramedics used the tool to assess the full range of Advanced Medical Priority Dispatch System (AMPDS) codes and acuities. This study reports the ECNS outcomes of the full range of AMPDS codes, aiming to inform future discussion, protocol evolution, and clinical models internationally.

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Case Study: Cardiac Arrest After a Seizure

Bryon Schultz, NRP, EDQ-I, EMD-I

Feb 13, 2024|AEDR 2024 Vol. 12 Issue 1|Case Study

The following case is a medical emergency call handled by a large metropolitan emergency medical service (EMS) agency. This agency handles over 12,000 emergency and non-emergency ambulance calls per month in an area over 270 square miles, with a population of around 500,000.The emergency medical dispatcher (EMD) used the Medical Priority Dispatch System (MPDS®) version 13.3 (NAE) to handle this call.

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Case Report: How many lives can be saved annually with Dispatcher-Directed CPR using the most widespread emergency medical dispatch calltaking software application—an extrapolation from a large aggregate database

Greg Scott, MBA, EMD-QI

Jul 14, 2023|AEDR 2023 Vol. 11 Issue 1|Case Report

For over 10 years, the International Academies of Emergency Dispatch has been collecting data from emergency dispatch agencies across North America and has amassed one of the largest and most detailed sets of emergency medical dispatch calltaking data available. As of the writing of this report, 262 agencies using the electronic version of the Medical Priority Dispatch System (MPDS®), known as ProQA™ have shared over 30 million cases of detailed, deidentified calltaking data with the IAED. This data is aggregated and made publicly available in a set of interactive dashboards.

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