Effect of Clinical Decision-Support Systems

TL;DR: In this article, a secure multiparty computation (MPC) based approach was proposed to preserve the privacy of the patient records and the confidentiality of the clinicians' decisions, which enables to compute the effectiveness measure of a treatment based on patient records, while preserving privacy.

TL;DR: This study will provide high-quality evidence on the effectiveness of CDSS systems and SAHR in the grand round routine and evaluate the acceptability and clinical usability of the system.

TL;DR: The results show that the probabilistic model developed could provide support to radiologists to improve their performance and consistency within mammography practice and can significantly reduce screening mammography false positives with a minimal increase in false negatives.

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.