Searching for Use Of Ontologies In Clinical Decision Support information? Find all needed info by using official links provided below.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4011426/
May 01, 2014 · An ontology is a model of a particular field of knowledge—the concepts and their attributes, as well as the relationships between the concepts. 4 Ontologies describe and organize domain knowledge in a manner machines can read and humans can understand, so decision support may be promoted with computer-based systems or applications. 5,6 Ontologies also may help the …Cited by: 7
https://academic.oup.com/jamia/article/27/1/159/5583721
Oct 08, 2019 · The study sought to describe the literature describing clinical reasoning ontology (CRO)–based clinical decision support systems (CDSSs) and identify and classify the medical knowledge and reasoning concepts and their properties within these ontologies to guide future research.Author: Pavithra I Dissanayake, Tiago K Colicchio, James J Cimino
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2592252/
4.3 Decision Support. Clinical decision support systems generally benefit from ontologies in two principal ways. First, as mentioned earlier, ontologies provide a standard vocabulary for biomedical entities, helping standardize and integrate data sources . For example, a system for drug allergies must be able to resolve drug names into standard codes and map between drug coding systems and the …Cited by: 372
https://www.researchgate.net/publication/232635205_Using_OWL_Ontologies_for_Clinical_Guidelines_Based_Comorbid_Decision_Support
As a conclusion, this paper presents an ontology-driven decision support system for facilitating the selection of domestic solar hot water system, which delivers certain advantages, such as ...
https://thesai.org/Downloads/Volume6No12/Paper_28-Ontology_Based_Clinical_Decision_Support_System_for_Predicting.pdf
proposed ontology-based clinical decision support system that diagnoses high-risk pregnant women and refer them to the qualified medical doctors for timely treatment. The Ontology of the proposed system is built automatically and enhanced afterward using doctor’s feedback…Cited by: 3
https://www.hindawi.com/journals/jhe/2017/4307508/
The system constructs a clinical decision support system (CDSS) for undergoing surgery based on domain ontology and rules reasoning in the setting of hospitalized diabetic patients. However, the ontology knowledge is built on the experience of clinical practitioners, so it is hard to update these ontologies knowledge when there is a new clinical guideline.Cited by: 1
https://hsl.med.nyu.edu/divisions/dki/standardized-code-sets-medical-terminologies-and-ontologies
Applications of Standardized Medical Terminologies / Ontologies: Electronic medical records. Physician order entry. Clinical decision support. Laboratory reporting. Case report forms for clinical research. Surgical procedure masters. Consumer health information services.
https://www.sciencedirect.com/science/article/pii/S153204641100222X
This ontology is the knowledge base that the decision support tool described in Section 5.3 will use to help health-care professionals to detect medical errors and omissions, but also to obtain a more precise clinical description of the patient under study and to provide recommendations.Cited by: 182
https://healthitanalytics.com/features/understanding-the-basics-of-clinical-decision-support-systems
Dec 12, 2017 · Ultimately, CMS says, clinical decision support can include any health IT system, workflow, or process intended to deliver: the right information (evidence-based guidance, response to clinical need) to the right people (entire care team – including the patient) through the right channels (e.g…
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC130080/
Jul 13, 2000 · The application of this knowledge acquisition tool to the construction of a decision support system in blood transfusion demonstrates the value of such a pragmatic methodology for the design of rule-based clinical systems that rely on the highly progressive knowledge embedded in hospital information systems.
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