Open AccessSystematic Review of Clinical Decision Support Systems for Prehospital Acute Coronary Syndrome Identification
Author(s) -
Charles Knoery,
Janet Heaton,
Rob Polson,
Raymond Bond,
Aleeha Iftikhar,
Khaled Rjoob,
Victoria McGilligan,
Aaron Peace,
Stephen Leslie
Publication year - 2020
Publication title -
critical pathways in cardiology
Language(s) - English
Resource type - Journals
eISSN - 1535-282X
pISSN - 1535-2811
DOI - 10.1097/hpc.0000000000000217
Subject(s) - medicine , clinical decision support system , acute coronary syndrome , decision support system , predictive value , medline , identification (biology) , intensive care medicine , medical emergency , data mining , myocardial infarction , computer science , political science , law , botany , biology
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.