A Study on User Satisfaction regarding the Clinical Decision Support System (CDSS) for Medication [PDF]
ObjectivesMany medication errors can occur when ordering and dispensing medicine in hospitals. The clinical decision support system (CDSS) is widely used in an effort to reduce medication errors.
Junghee Kim +5 more
doaj +5 more sources
CDSS-RM: a clinical decision support system reference model [PDF]
Clinical Decision Support Systems (CDSS) provide aid in clinical decision making and therefore need to take into consideration human, data interactions, and cognitive functions of clinical decision makers.
Dimitrios Zikos, Nailya DeLellis
doaj +3 more sources
Integrated antibiotic clinical decision support system (CDSS) for appropriate choice and dosage: an analysis of retrospective data. [PDF]
Decision-making for inpatient antibiotic prescribing is complex due to many considerations to be taken. So far, clinical decision support systems (CDSS) have been rarely used in antibiotic stewardship (ABS) and even less integrated in computerized physician order entry systems (CPOE).We developed a guideline-based, CPOE-integrated CDSS (ID ANTIBIOTICS)
Schaut M, Schaefer M, Trost U, Sander A.
europepmc +3 more sources
Clinical decision support system (CDSS) – effects on care quality [PDF]
Purpose – Despite their efficacy, some recommended therapies are underused. The purpose of this paper is to describe clinical decision support system (CDSS) development and its impact on clinical guideline adherence. Design/methodology/approach – A new CDSS was ...
Henrik Eriksson, Johan Herlitz
exaly +5 more sources
Factors That Impact the Adoption of Clinical Decision Support Systems (CDSS) for Antibiotic Management [PDF]
The study evaluated individual and setting-specific factors that moderate clinicians’ perception regarding use of clinical decision support systems (CDSS) for antibiotic management. A cross-sectional online survey examined clinicians’ perceptions about CDSS implementation for antibiotic management in Australia.
Tracy Merlin +2 more
exaly +3 more sources
Emotion-Adaptive Large Language Model–Driven Clinical Decision Support: User Evaluation of the Empathic Clinical Decision Support System Framework for Trust and Explainability [PDF]
BackgroundThe increasing prevalence of cannabis use has motivated researchers to develop computational behavioral models that predict usage patterns and related health impacts in naturalistic environments.
Tongze Zhang +3 more
doaj +2 more sources
AbstractThe objective of this research is to develop a prototype Clinical Decision Support System (CDSS) to aid pathologists in correctly discriminating between reactive mesothelial cells and malignant epithelial cells. Currently, there is great difficulty in visually discriminating between cells that are malignant and cells that are otherwise reactive
Walker H Land
exaly +2 more sources
Neuromuscular hip dysplasia (NHD) is a common deformity in children with cerebral palsy (CP). Although some predictive factors of NHD are known, the prediction of NHD is in its infancy.
Carlo M. Bertoncelli +6 more
doaj +3 more sources
Non-specific musculoskeletal disorders (MSDs) pose significant challenges in primary care due to ambiguous symptoms and diverse etiologies. This research presents the SupportPrim clinical decision support system (CDSS), an innovative approach that combines case-based reasoning (CBR) with a scalable microservice framework, aiming to improve personalized
Ingebrigt Meisingset +2 more
exaly +3 more sources
Integrating transcriptomic data and artificial intelligence to personalize curative treatments for head and neck cancer patients [PDF]
Personalized treatment in head and neck cancer remains limited despite substantial biological heterogeneity. Using the SuPerTreat project as a case study, we outline a prototype clinical decision support system (CDSS) integrating transcriptomic data and ...
Stefano Cavalieri +9 more
doaj +2 more sources

