A Personalized Ontology-based Decision Support System for Complex Chronic Patients: Validation (Preprint)

Román-Villarán, Esther; Alvarez-Romero, Celia; Martínez-García, Alicia; Escobar-Rodríguez, German Antonio; García-Lozano, María José; Barón‐Franco, Bosco; Moreno-Gaviño, Lourdes; Moreno-Conde, Jesús; Rivas-González, José Antonio; Calderón, Carlos

doi:10.2196/preprints.27990

Cited by 2 publications

References 31 publications

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Ontologies Applied in Clinical Decision Support System Rules: Systematic Review

Jing¹,

Min²,

Gong³

et al. 2023

JMIR Med Inform

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Background Clinical decision support systems (CDSSs) are important for the quality and safety of health care delivery. Although CDSS rules guide CDSS behavior, they are not routinely shared and reused. Objective Ontologies have the potential to promote the reuse of CDSS rules. Therefore, we systematically screened the literature to elaborate on the current status of ontologies applied in CDSS rules, such as rule management, which uses captured CDSS rule usage data and user feedback data to tailor CDSS services to be more accurate, and maintenance, which updates CDSS rules. Through this systematic literature review, we aim to identify the frontiers of ontologies used in CDSS rules. Methods The literature search was focused on the intersection of ontologies; clinical decision support; and rules in PubMed, the Association for Computing Machinery (ACM) Digital Library, and the Nursing & Allied Health Database. Grounded theory and PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 guidelines were followed. One author initiated the screening and literature review, while 2 authors validated the processes and results independently. The inclusion and exclusion criteria were developed and refined iteratively. Results CDSSs were primarily used to manage chronic conditions, alerts for medication prescriptions, reminders for immunizations and preventive services, diagnoses, and treatment recommendations among 81 included publications. The CDSS rules were presented in Semantic Web Rule Language, Jess, or Jena formats. Despite the fact that ontologies have been used to provide medical knowledge, CDSS rules, and terminologies, they have not been used in CDSS rule management or to facilitate the reuse of CDSS rules. Conclusions Ontologies have been used to organize and represent medical knowledge, controlled vocabularies, and the content of CDSS rules. So far, there has been little reuse of CDSS rules. More work is needed to improve the reusability and interoperability of CDSS rules. This review identified and described the ontologies that, despite their limitations, enable Semantic Web technologies and their applications in CDSS rules.

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Ontologies Applied in Clinical Decision Support System Rules: Systematic Review

Jing¹,

Min²,

Gong³

et al. 2023

JMIR Med Inform

View full text Add to dashboard Cite

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A Systematic Review of Ontologies applied in Clinical Decision Support System Rules (Preprint)

Jing¹,

Min²,

Gong³

et al. 2022

Preprint

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BACKGROUND Clinical decision support systems (CDSS) play a critical role in the quality and safety of healthcare delivery. Although CDSS rules direct CDSS behavior, CDSS rules have not been routinely shared and reused. OBJECTIVE Ontology has the potential to promote the reusing of CDSS rules. Therefore, we systematically screened literature to elaborate on the current status of ontology applied in CDSS rules, e.g., rule management (uses the captured CDSS rule usage data and users’ feedback data to customize CDSS services to be more accurate) and maintenance (updates CDSS rules). We aim to delineate the frontlines of ontologies applied in CDSS rules via this systematic literature review. METHODS The literature search was focused on ontology, clinical decision support, and rules in PubMed, the Association for Computing Machinery (ACM) Digital Library, and the Nursing & Allied Health Database. Grounded theory and PRISMA 2020 guidelines were followed. One author started the screening and literature analysis, and two validated the processes and results. Inclusion and exclusion criteria were developed and refined iteratively. RESULTS Among the 81 included publications, CDSS were mainly applied to managing chronic conditions, alerts for medication prescriptions, reminders for immunizations and preventive services, diagnoses, and treatment recommendations. The CDSS rules were presented in Semantic Web Rule Language, Jess, or Jena formats. Despite ontologies being used to supply medical knowledge, CDSS rules, and terminologies, ontologies have not been used in CDSS rule management or facilitate the reusing of CDSS rules. CONCLUSIONS Ontologies have been used to organize and represent medical knowledge and controlled vocabularies that contribute to CDSS and the content of CDSS rules. So far, there is a lack of reusing CDSS rules. More efforts are needed to improve the reusability and interoperability of CDSS rules. This paper delineated the ontologies, enabling Semantic Web technology, despite inadequate, and their applications in CDSS rules.

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A Personalized Ontology-based Decision Support System for Complex Chronic Patients: Validation (Preprint)

Cited by 2 publications

References 31 publications

Ontologies Applied in Clinical Decision Support System Rules: Systematic Review

Ontologies Applied in Clinical Decision Support System Rules: Systematic Review

A Systematic Review of Ontologies applied in Clinical Decision Support System Rules (Preprint)

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