Towards effective clinical decision support systems: A systematic review.
PLoS 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
American Heart Journal Plus, 2022 Study objective: Reduce inappropriate transthoracic echocardiograms (TTEs) using a series of Plan-Do-Study-Act (PDSA) quality improvement cycles. Design: Three PDSA cycles were designed with the first integrating a previously published decision support ...
Hassan Ashraf +3 more
doaj +1 more source
Developing Clinical Decision Support Systems in Psychiatry Using Microblogging Data [PDF]
تصمیم گیری و تحقیق در عملیات, 2022 Purpose: While diagnosing mental disorders in traditional approaches relies on questionnaires, interviews, and clinical trials, automated screening tools can take a shorter path.
Ramin Safa +2 more
doaj +1 more source
Examining explainable clinical decision support systems with think aloud protocols
PLoS ONE, 2023 Machine learning tools are increasingly used to improve the quality of care and the soundness of a treatment plan. Explainable AI (XAI) helps users in understanding the inner mechanisms of opaque machine learning models and is a driver of trust and ...
Sabrina G. Anjara +7 more
doaj +2 more sources
Expectation of clinical decision support systems: a survey study among nephrologist end-users
BMC Medical Informatics and Decision Making, 2023 Background Chronic kidney disease (CKD), a major public health problem with differing disease etiologies, leads to complications, comorbidities, polypharmacy, and mortality.
Fruzsina Kotsis +10 more
doaj +1 more source
REVIEW OF METHODS FOR DESIGNING CLINICAL DECISION SUPPORT SYSTEMS
Модели, системы, сети в экономике, технике, природе и обществе, 2022 Background. This study is devoted to the review of methods for designing medical decision support systems. Materials and methods. The main source of information was the Russian scientific electronic library elibrary and international databases of ...
K.M. Demushkina +2 more
doaj +1 more source
Propagation effects of model-calculated probability values in Bayesian networks [PDF]
, 2015 Probabilistic causal interaction models have become quite popular among Bayesian-network engineers as elicitation of all probabilities required often proves the main bottleneck in building a real-world network with domain experts.
Decision Support Systems +3 more
core +2 more sources
Computerised decision support systems for healthcare professionals: an interpretative review
Journal of Innovation in Health Informatics, 2013 Purpose Computerised decision support systems are designed to support clinicians in making decisions and thereby enhance the quality and safety of care.
Kathrin Cresswell +3 more
doaj +1 more source
Promotion of prehospital emergency care through clinical decision support systems: opportunities and challenges [PDF]
Clinical and Experimental Emergency Medicine, 2019 Clinical decision support systems are interactive computer systems for situational decision making and can improve decision efficiency and safety of care. We investigated the role of these systems in enhancing prehospital care.
Azadeh Bashiri +2 more
doaj +1 more source
Balanced sensitivity functions for tuning multi-dimensional Bayesian network classifiers [PDF]
, 2017 Multi-dimensional Bayesian network classifiers are Bayesian networks of restricted topological structure, which are tailored to classifying data instances into multiple dimensions.
Bolt, J.H. +4 more
core +2 more sources