Adult basic life support: 2020 international consensus on cardiopulmonary resuscitation and emergency cardiovascular care science with treatment recommendations

TM Olasveengen, ME Mancini, GD Perkins, S Avis… - Circulation, 2020 - Am Heart Assoc
This 2020 International Consensus on Cardiopulmonary Resuscitation (CPR) and
Emergency Cardiovascular Care Science With Treatment Recommendations on basic life …

The accuracy of medical dispatch-a systematic review

K Bohm, L Kurland - Scandinavian journal of trauma, resuscitation and …, 2018 - Springer
Background It is a challenge to dispatch Emergency medical Services (EMS) appropriately
with limited resources and maintaining patient safety; this requires accurate dispatching …

European resuscitation council guidelines 2021: systems saving lives

F Semeraro, R Greif, BW Böttiger, R Burkart… - Resuscitation, 2021 - Elsevier
Abstract The European Resuscitation Council (ERC) has produced these Systems Saving
Lives guidelines, which are based on the 2020 International Consensus on …

Adult basic life support: international consensus on cardiopulmonary resuscitation and emergency cardiovascular care science with treatment recommendations

TM Olasveengen, ME Mancini, GD Perkins, S Avis… - Resuscitation, 2020 - Elsevier
Abstract This 2020 International Consensus on Cardiopulmonary Resuscitation (CPR) and
Emergency Cardiovascular Care Science With Treatment Recommendations on basic life …

[HTML][HTML] Machine learning as a supportive tool to recognize cardiac arrest in emergency calls

SN Blomberg, F Folke, AK Ersbøll, HC Christensen… - Resuscitation, 2019 - Elsevier
Background Emergency medical dispatchers fail to identify approximately 25% of cases of
out of hospital cardiac arrest, thus lose the opportunity to provide the caller instructions in …

Identifying the relative importance of predictors of survival in out of hospital cardiac arrest: a machine learning study

N Al-Dury, A Ravn-Fischer, J Hollenberg… - Scandinavian journal of …, 2020 - Springer
Introduction Studies examining the factors linked to survival after out of hospital cardiac
arrest (OHCA) have either aimed to describe the characteristics and outcomes of OHCA in …

On assessing trustworthy AI in healthcare. Machine learning as a supportive tool to recognize cardiac arrest in emergency calls

RV Zicari, J Brusseau, SN Blomberg… - Frontiers in Human …, 2021 - frontiersin.org
Artificial Intelligence (AI) has the potential to greatly improve the delivery of healthcare and
other services that advance population health and wellbeing. However, the use of AI in …

Dispatch of firefighters and police officers in out‐of‐hospital cardiac arrest: a nationwide prospective cohort trial using propensity score analysis

I Hasselqvist‐Ax, P Nordberg, J Herlitz… - Journal of the …, 2017 - Am Heart Assoc
Background Dispatch of basic life support–trained first responders equipped with automated
external defibrillators in addition to advanced life support–trained emergency medical …

Diagnosis of out-of-hospital cardiac arrest by emergency medical dispatch: A diagnostic systematic review

IR Drennan, G Geri, S Brooks, K Couper, T Hatanaka… - Resuscitation, 2021 - Elsevier
Introduction Cardiac arrest is a time-sensitive condition requiring urgent intervention. Prompt
and accurate recognition of cardiac arrest by emergency medical dispatchers at the time of …

Lay responder care for an adult with out-of-hospital cardiac arrest

WJ Brady, A Mattu, CM Slovis - New England Journal of Medicine, 2019 - Mass Medical Soc
Lay Responder Care in Out-of-Hospital Cardiac Arrest Lay responders play a major role in
the resuscitation of persons with out-of-hospital cardiac arrest. Crucial steps include …