[Ontologies Applied in Clinical Decision Support Systems for Diabetes].
Sichuan Da Xue Xue Bao Yi Xue Ban
; 54(1): 208-216, 2023 Jan.
Article
em Zh
| MEDLINE
| ID: mdl-36647669
ABSTRACT
A clinical decision support system (CDSS) integrated with electronic health records helps physicians at the grassroots make patient-appropriate and evidence-based treatment decisions and improves the efficiency of diagnosis and treatment. Furthermore, using ontologies to build up the medical knowledge base and patient data for CDSS enhances the automation and transparency of the reasoning process of CDSS and helps generate interpretable and accurate treatment recommendations. Herein, we reviewed the relevant ontologies in the field of diabetes treatment and the progress and challenges concerning ontology-based CDSSs. Firstly, we elaborated on the current status and challenges of diabetes treatment in China, highlighting the urgent need to improve the efficiency and quality of medical services. Then, we presented background information about ontologies and gave an overview of the framework, methodology, and features of using ontologies to construct CDSS. After that, we reviewed the ontologies and instances of ontology-based CDSS in the field of diabetes treatment in China and abroad and summarized their construction methods and features. Last but not the least, we discussed the future prospects of the field, suggesting that integrating evidence-based medicine with ontologies to build a reliable clinical recommendation system should be the current focus of CDSS development.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Sistemas de Apoio a Decisões Clínicas
/
Diabetes Mellitus
Tipo de estudo:
Guideline
/
Prognostic_studies
Limite:
Humans
País como assunto:
Asia
Idioma:
Zh
Ano de publicação:
2023
Tipo de documento:
Article