Clinical Trials Logo
  1. Home
  2. Out-of-hospital Cardiac Arrest
  3. NCT04219306

Machine Learning Assisted Recognition of Out-of-Hospital Cardiac Arrest During Emergency Calls.

Out-Of-Hospital Cardiac Arrest Clinical Trial

Official title:
Can a Machine Learning Recognise of Out-of-Hospital Cardiac Arrest During Emergency Calls and Assist Medical Dispatchers

Clinical Trial Summary

Emergency medical Services Copenhagen has developed a machine learning model that analyzes the calls to 1-1-2 (9-1-1) in real time. The model are able to recognize calls where a cardiac arrest is suspected. The aim of the study is to investigate the effect of a computer generated alert in calls where cardiac arrest is suspected.

The study will investigate

1. whether a potential increase in recognitions is due to machine alerts or the increased focus of the medical dispatcher on recognizing Out-of-Hospital cardiac Arrest (OHCA) when implementing the machine

2. if a machine learning model based on neural networks, when alerting medical dispatchers will increase overall recognition of OHCA and increase dispatch of citizen responders.

3. increased use of automated external defibrillators (AED), cardiopulmonary resuscitation (CPR) or dispatch of citizen responders in cases of OHCA on machine recognised OHCA vs. medical dispatcher recognised OHCA.

Clinical Trial Description

Chances of survival after out-of-hospital cardiac arrest decrease 10% per minute from collapse until CPR is initiated. dispatcher assisted telephone CPR will be initiated only in cases where the dispatcher recognizes the cardiac arrest.

In a previous project "Can a computer through machine learning recognise of Out-of-Hospital Cardiac Arrest during emergency calls" (supported by TrygFoundation), the investigators found, it was possible to create a Machine Learning (ML) model, which could recognise OHCA with higher precision than medical dispatchers at the Emergency Medical Dispatch Center (EMDC-Copenhagen).

In this study the model andt is effect is to be documented in the EMDC-Copenhagen. For this purpose, a computer server running the ML-model are created. This server is integrated in the network at EMDC-Copenhagen, making it possible to push alerts to the medical dispatcher, when a cardiac arrest is recognised by the model.

With aid of machine learning, the hypothesis is, that recognition of OHCA is improved, and happen both more frequent and faster than present.

An instruction for the medical dispatchers is developed, which guides the medical dispatcher in instance of an alert from the machine. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT04219306
Study type Interventional
Source Emergency Medical Services, Capital Region, Denmark
Contact
Status Completed
Phase N/A
Start date September 1, 2018
Completion date April 2, 2020
View Details
See also
  Status Clinical Trial Phase
Recruiting NCT05434910 - Blood Pressure and Cerebral Blood Flow After Cardiac Arrest N/A
Active, not recruiting NCT03700125 - Pre-hospital ECMO in Advanced Resuscitation in Patients With Refractory Cardiac Arrest. ( SUB30 ) N/A
Completed NCT02527694 - CPR Quality Between Flexible Stretcher and Standard Stretcher in OHCA N/A
Completed NCT02899507 - Prophylactic Antibiotics in Comatose Survivors of Out-of-hospital Cardiac Arrest Phase 4
Recruiting NCT02184468 - Survival Study After Out-of-hospital Cardiac Arrest N/A
Completed NCT04085692 - Dispatcher-Assisted CPR: Low-Dose, High-Frequency Simulation-Based Training N/A
Recruiting NCT05029167 - REstrictive Versus LIberal Oxygen Strategy and Its Effect on Pulmonary Hypertension After Out-of-hospital Cardiac Arrest (RELIEPH-study) N/A
Completed NCT04080986 - DOuble SEquential External Defibrillation for Refractory VF N/A
Completed NCT04058925 - Tissue Oxygenation During Cardiopulmonary Resuscitation as a Predictor of Return of Spontaneous Circulation
Enrolling by invitation NCT05113706 - Does Bystanders Emotional State Influence Dispatcher-assisted Cardiopulmonary?Resuscitation
Completed NCT03881865 - P25/30 SSEPs and Neurological Prognosis After Cardiac Arrest
Recruiting NCT04993716 - Epidemiological Study on the Management of Out-of-hospital Cardiac Arrest Survivors in Champagne ArDEnnes
Completed NCT05062785 - Dose-Finding Study of Intranasal Insulin in Healthy Participants Insulin in Healthy Participants Phase 1
Recruiting NCT06122337 - Systemic Evaluation of the Etiologies of Young Adults With Non-traumatic Out-of-hospital Cardiac Arrest
Not yet recruiting NCT04584463 - Factors Associated With CPC 1-2 in 110 Patients Admitted in French ICU for a Myocardial Infarction Complicated by an OHCA.
Recruiting NCT03355885 - Early-onset Pneumonia After Out-of-hospital Cardiac Arrest N/A
Recruiting NCT05132387 - Wroclaw Out-Of-Hospital Cardiac Arrest Registry
Recruiting NCT02827422 - A Prospective, Multicenter Registry With Targeted Temperature Management After Out-of-hospital Cardiac Arrest in Korea N/A
Completed NCT02646046 - Combining Performance of Call EMS and Simultaneous Chest Compressions in a Lone Rescuer CPR N/A
Recruiting NCT02056509 - The Effect of Chest Compression and Ventilation Coordination During Cardiopulmonary Resuscitation. N/A