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https://www.researchgate.net/publication/26803588_An_openEHR-Based_Clinical_Decision_Support_System_A_Case_Study
An openEHR-Based Clinical Decision Support System: A Case Study Article (PDF Available) in Studies in health technology and informatics 150:348 · February 2009 with 167 Reads How we measure 'reads'
https://person.hst.aau.dk/ska/MIE2009/papers/MIE2009p0348.pdf
Keywords. clinical decision support system, openEHR, archetype, dry mouth Dry mouth is an oral disease that can be a result of other diseases or an adverse effect of previous medications. We have selected dry mouth as our case study for developing a clinical decision support system (CDSS). Two options have been investigated. The
https://research.chalmers.se/en/publication/97626
Experiences in developing a Clinical Decision Support System (CDSS) for dry mouth revealed that traditional approaches for creating clinical applications are not suitable because of the lack of structured knowledge in the domain and the complex nature of existing knowledge. Nevertheless, openEHR offers various benefits. This paper presents the issues related to developing an openEHR-based CDSS ...Cited by: 10
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6517630/
Apr 30, 2019 · Results. Based on the Alexa web ranking and Google Trends, the five most popular EHR systems at the time of our study were OSHERA VistA, GNU Health, the Open Medical Record System (OpenMRS), Open Electronic Medical Record (OpenEMR), and OpenEHR.Cited by: 1
https://www.sciencedirect.com/science/article/pii/S0933365717304402
Background. Clinical decision-support systems (CDSS) are designed to solve knowledge-intensive tasks for supporting decision-making processes. Although many approaches for designing CDSS have been proposed, due to high implementation costs, as well as the lack of interoperability features, current solutions are not well-established across different institutions.Cited by: 8
http://publications.lib.chalmers.se/records/fulltext/local_150435.pdf
a knowledge intensive case-based reasoning method, and the extracted general domain knowledge. We also propose an architecture for such a system with the aim of bene ting from the structured openEHR-based patient data in reasoning. Key words: Clinical decision support, openEHR, archetype, Case-based reasoning 1 Introduction
https://www.sciencedirect.com/science/article/pii/S1532046413000701
A clinical decision-support system (CDSS) can be defined as “any computer program designed to help health professionals make clinical decision” . This definition encompasses systems as diverse as sophisticated platforms to store and manage clinical data, tools to alert clinicians of problematic situations (e.g. drug-drug interactions), or ...Cited by: 92
https://www.researchgate.net/publication/236938559_Interoperability_of_clinical_decision-support_systems_and_electronic_health_records_using_archetypes_A_case_study_in_clinical_trial_eligibility
Clinical decision support system (CDSS) based on case-based reasoning (CBR) helps in early detection and diagnosis of diabetes. Building CBR’s case-base knowledge is the most critical challenge.
http://www.meduniwien.ac.at/kpa/publications/eHealth_2018_--_ArdenSyntax+openEHR.pdf
ArdenSuite was applied as an implementation of an Arden-Syntax-based clinical decision support framework, and Marand’s EhrScape as an implementation of an openEHR system, for the purpose of data exchange. To assess their interoperability, we developed a use case in which ArdenSuite was connected to EhrScape; the
http://www.meduniwien.ac.at/kpa/publications/eHealth_2018_--_Achieving_Interoperability.pdf
Objectives: To perform a feasibility study showing how Arden Syntax medical logic modules (MLMs) can access openEHR data. Methods: Medexter’s ArdenSuite was applied as an implementation of an Arden-Syntax-based clinical decision support framework, and Marand’s EhrScape as an implementation of an openEHR system, for the purpose of data exchange.
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