Open AccessDecision support systems in clinical practice: The case of venous thromboembolism prevention
Author(s) -
Г. И. Назаренко,
E. B. Kleymenova,
S.A. Payushik,
В. А. Отделенов,
Д. А. Сычев,
L. P. Yashina
Publication year - 2015
Publication title -
international journal of risk and safety in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.306
H-Index - 22
eISSN - 1878-6847
pISSN - 0924-6479
DOI - 10.3233/jrs-150709
Subject(s) - medicine , clinical decision support system , venous thromboembolism , knowledge translation , medline , scale (ratio) , decision aids , intensive care medicine , clinical practice , best practice , health care , family medicine , medical emergency , alternative medicine , thrombosis , surgery , pathology , knowledge management , physics , management , quantum mechanics , computer science , political science , law , economics , economic growth
Today medicine is facing a "knowledge crisis" in that explosively expanding medical knowledge encounters limited abilities to disseminate new practices [1]. Clinical practice guidelines (CPGs) are intended to promote high standards of care in specific areas of medicine by summarizing best clinical practice based on careful reviews of current research. However, doctors are often short of time to study these documents and check their updates, have little motivation for strict adherence to them. A systematic review of 11 studies reporting on 29 recommendations has found that median adherence to all recommendations was 34%, suggesting that potential benefits for patients from health research may be lost [2].Clinical decision support systems (CDSS) can serve as a knowledge translation tool, mediator between clinical guidelines and physicians by providing the right information to the right person at the right time.