Results 51 to 60 of about 52,853 (237)

Alerts in Clinical Decision Support Systems (CDSS): A Bibliometric Review and Content Analysis

open access: yesHealthcare, 2022
A clinical decision support system (CDSS) informs or generates medical recommendations for healthcare practitioners. An alert is the most common way for a CDSS to interact with practitioners. Research about alerts in CDSS has proliferated over the past ten years. The research trend is ongoing with new emerging terms and focus.
Shuo-Chen Chien   +7 more
openaire   +2 more sources

Towards effective clinical decision support systems: A systematic review.

open access: yesPLoS ONE, 2022
BackgroundClinical Decision Support Systems (CDSS) are used to assist the decision-making process in the healthcare field. Developing an effective CDSS is an arduous task that can take advantage from prior assessment of the most promising theories ...
Francini Hak   +2 more
doaj   +1 more source

Development and assessment of PharmaCheck: an electronic screening tool for the prevention of twenty major adverse drug events

open access: yesBMC Medical Informatics and Decision Making, 2022
Background Adverse drug events (ADEs) can be prevented by deploying clinical decision support systems (CDSS) that directly assist physicians, via computerized order entry systems, and clinical pharmacists performing medication reviews as part of medical ...
Christian Skalafouris   +10 more
doaj   +1 more source

Smart Medicine: Exploring the Landscape of AI-Enhanced Clinical Decision Support Systems [PDF]

open access: yesMATEC Web of Conferences
A Clinical Decision Support System (CDSS) combines medical knowledge with patient data to help healthcare providers make well-informed decisions. It offers real-time advice and recommendations for better patient outcomes and treatment management.
Jhade Srinivas   +3 more
doaj   +1 more source

Testing an individualized digital decision assist system for the diagnosis and management of mental and behavior disorders in children and adolescents

open access: yesBMC Medical Informatics and Decision Making, 2020
Background Nearly half of all mental health disorders develop prior to the age of 15. Early assessments, diagnosis, and treatment are critical to shortening single episodes of care, reducing possible comorbidity and long-term disability.
Carolyn E. Clausen   +9 more
doaj   +1 more source

A data-driven approach to clinical decision support in tinnitus retraining therapy

open access: yesFrontiers in Neuroinformatics, 2022
BackgroundTinnitus, known as “ringing in the ears”, is a widespread and frequently disabling hearing disorder. No pharmacological treatment exists, but clinical management techniques, such as tinnitus retraining therapy (TRT), prove effective in helping ...
Katarzyna A. Tarnowska   +3 more
doaj   +1 more source

Acceptance and use of a clinical decision support system in musculoskeletal pain disorders – the SupportPrim project

open access: yesBMC Medical Informatics and Decision Making, 2023
Background We have developed a clinical decision support system (CDSS) based on methods from artificial intelligence to support physiotherapists and patients in the decision-making process of managing musculoskeletal (MSK) pain disorders in primary care.
Fredrik Granviken   +5 more
doaj   +1 more source

Clinical Decision Support Systems for Comorbidity: Architecture, Algorithms, and Applications

open access: yesInternational Journal of Telemedicine and Applications, 2017
In this paper, we present the design of a clinical decision support system (CDSS) for monitoring comorbid conditions. Specifically, we address the architecture of a CDSS by characterizing it from three layers and discuss the algorithms in each layer ...
Aihua Fan, Di Lin, Yu Tang
doaj   +1 more source

Home - About - Disclaimer - Privacy