Harnessing the power of clinical decision support systems: challenges and opportunities

Z Chen, N Liang, H Zhang, H Li, Y Yang, X Zong… - Open …, 2023 - openheart.bmj.com
Clinical decision support systems (CDSSs) are increasingly integrated into healthcare
settings to improve patient outcomes, reduce medical errors and enhance clinical efficiency …

The impact of health information technology on patient safety

YK Alotaibi, F Federico - Saudi medical journal, 2017 - pmc.ncbi.nlm.nih.gov
Since the original Institute of Medicine (IOM) report was published there has been an
accelerated development and adoption of health information technology with varying …

Computerised clinical decision support systems and absolute improvements in care: meta-analysis of controlled clinical trials

JL Kwan, L Lo, J Ferguson, H Goldberg… - Bmj, 2020 - bmj.com
Objective To report the improvements achieved with clinical decision support systems and
examine the heterogeneity from pooling effects across diverse clinical settings and …

Evidence‐based treatment recommendations for neck and low back pain across Europe: a systematic review of guidelines

N Corp, G Mansell, S Stynes… - … Journal of Pain, 2021 - Wiley Online Library
Background and objective This systematic review synthesized evidence from European
neck and low back pain (NLBP) clinical practice guidelines (CPGs) to identify recommended …

Understanding and promoting effective engagement with digital behavior change interventions

L Yardley, BJ Spring, H Riper, LG Morrison… - American journal of …, 2016 - Elsevier
This paper is one in a series developed through a process of expert consensus to provide
an overview of questions of current importance in research into engagement with digital …

Social determinants of atrial fibrillation

UR Essien, J Kornej, AE Johnson… - Nature Reviews …, 2021 - nature.com
Atrial fibrillation affects almost 60 million adults worldwide. Atrial fibrillation is associated
with a high risk of cardiovascular morbidity and death as well as with social, psychological …

What hinders the uptake of computerized decision support systems in hospitals? A qualitative study and framework for implementation

EG Liberati, F Ruggiero, L Galuppo, M Gorli… - Implementation …, 2017 - Springer
Abstract Background Advanced Computerized Decision Support Systems (CDSSs) assist
clinicians in their decision-making process, generating recommendations based on up-to …

Interventions for increasing the use of shared decision making by healthcare professionals

F Légaré, R Adekpedjou, D Stacey… - Cochrane database …, 2018 - cochranelibrary.com
Background Shared decision making (SDM) is a process by which a healthcare choice is
made by the patient, significant others, or both with one or more healthcare professionals …

Do providers use computerized clinical decision support systems? A systematic review and meta-regression of clinical decision support uptake

A Kouri, J Yamada, J Lam Shin Cheung… - Implementation …, 2022 - Springer
Background Computerized clinical decision support systems (CDSSs) are a promising
knowledge translation tool, but often fail to meaningfully influence the outcomes they target …

Model-informed precision dosing: background, requirements, validation, implementation, and forward trajectory of individualizing drug therapy

AS Darwich, TM Polasek, JK Aronson… - Annual review of …, 2021 - annualreviews.org
Model-informed precision dosing (MIPD) has become synonymous with modern approaches
for individualizing drug therapy, in which the characteristics of each patient are considered …