Effect of Clinical Decision-Support Systems

TL;DR: Coordinated approaches to gain consensus on strategic directions and priorities would help to maximize the value of research innovation investments and minimize the risk of overlaps and gaps.

TL;DR: This randomised placebo‐controlled trial investigated whether point‐of‐care tools can improve optometrists' AMD knowledge and/or care provision.

TL;DR: HDOs face challenges navigating FDA guidance on sepsis CDS, with limited compliance and safety concerns. There is a need for policy interventions to enable HDOs to utilize AI for improved patient care while addressing safety and regulatory concerns.

TL;DR: In this paper , a prospective, randomized control trial to increase guideline-concordant pRBC transfusions comparing three variations of clinical decision support (CDS) in the electronic health record (EHR).

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.