Effect of Clinical Decision-Support Systems

TL;DR: This work proposed a novel identification strategy composed of a structured data-based filter and an unstructured data- based classifier using both TF-IDF and biterm topic that holds promise of initializing and growing an HIT database to meet the challenges of collecting, analyzing, sharing, and learning from HIT events at an aggregated level.

TL;DR: Forskningsresultater om effekt av tiltak rettet mot helsepersonell, for implementering av faglige retningslinjer, er vanskelig å forklare denne variasjonen.

TL;DR: The research results indicate that the study can be used to effectively assist clinicians in making clinical decisions, and the MLN can facilitate the investigation of CDS.

TL;DR: The 5-Cog study is a randomized controlled trial in 1200 predominantly Black and Hispanic older adults from an urban underserved community who are presenting to primary care with cognitive concerns to validate a novel 5-minute cognitive assessment coupled with an electronic medical record-embedded decision tree to overcome the barriers of current cognitive assessment paradigms in primary care.

TL;DR: This work systematically review evidence on the costs and benefits associated with use of health information technology and to identify gaps in the literature in order to provide organizations, policymakers, clinicians, and consumers an understanding of the effect ofhealth information technology on clinical care.

TL;DR: Improvement in practitioner performance was associated with CDSSs that automatically prompted users compared with requiring users to activate the system and studies in which the authors were not the developers, as well as other factors.

TL;DR: Clinicians and other stakeholders should implement clinical decision support systems that incorporate these features whenever feasible and appropriate.

TL;DR: The CDSSs can enhance clinical performance for drug dosing, preventive care, and other aspects of medical care, but not convincingly for diagnosis.