How to improve automated external defibrillator placement for out-of-hospital cardiac arrests: A case study.
Dylan AebyPhilippe StaegerFabrice DamiPublished in: PloS one (2021)
This study confirms that geodata tools can assess AED locations and increase the efficiency of their placement. Historical hotspots and AED overlays should be considered, with the aim of efficiently relocating or adding AEDs. At-home OHCAs should become a priority target for future public access defibrillation programs as they represent the majority of OHCAs but have the lowest AED coverage rates.
Keyphrases
- healthcare
- cardiac arrest
- ultrasound guided
- public health
- machine learning
- cardiopulmonary resuscitation
- deep learning
- mental health
- adverse drug
- left ventricular
- high throughput
- heart failure
- emergency department
- cardiac resynchronization therapy
- acute care
- affordable care act
- health insurance
- electronic health record