Systematic Review of Clinical Decision Support Systems for Prehospital Acute Coronary Syndrome Identification.

ABSTRACT:

Objectives

Timely prehospital diagnosis and treatment of acute coronary syndrome (ACS) are required to achieve optimal outcomes. Clinical decision support systems (CDSS) are platforms designed to integrate multiple data and can aid with management decisions in the prehospital environment. The review aim was to describe the accuracy of CDSS and individual components in the prehospital ACS management.

Methods

This systematic review examined the current literature regarding the accuracy of CDSS for ACS in the prehospital setting, the influence of computer-aided decision-making and of 4 components: electrocardiogram, biomarkers, patient history, and examination findings. The impact of these components on sensitivity, specificity, and positive and negative predictive values was a

SUBMITTER: Knoery CR 

PROVIDER: S-EPMC7386869 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature