Authors:
Garazi Artola
1
;
Jordi Torres
1
;
Nekane Larburu
2
;
Roberto Álvarez
2
and
Naiara Muro
3
Affiliations:
1
Vicomtech Research Centre, Mikeletegi Pasalekua 57, 20009, San Sebastian and Spain
;
2
Vicomtech Research Centre, Mikeletegi Pasalekua 57, 20009, San Sebastian, Spain, Biodonostia Health Research Institute, P. Doctor Begiristain s/n, 20014, San Sebastian and Spain
;
3
Vicomtech Research Centre, Mikeletegi Pasalekua 57, 20009, San Sebastian, Spain, Biodonostia Health Research Institute, P. Doctor Begiristain s/n, 20014, San Sebastian, Spain, UPMC, Univ. Paris 06, Paris, France, INSERM, Université Paris 13, Paris, France, LIMICS, Sorbonne Paris Cité, UMR S 1142, Paris and France
Keyword(s):
Computer Interpretable Guideline, Semantic Web Technologies, Ontology, Gestational Diabetes, Decision Support System.
Related
Ontology
Subjects/Areas/Topics:
Applications and Case-studies
;
Artificial Intelligence
;
Business Analytics
;
Cardiovascular Technologies
;
Collaboration and e-Services
;
Computing and Telecommunications in Cardiology
;
Data Engineering
;
Decision Support Systems
;
Decision Support Systems, Remote Data Analysis
;
e-Business
;
Enterprise Information Systems
;
Health Engineering and Technology Applications
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Semantic Web
;
Soft Computing
;
Symbolic Systems
Abstract:
The benefits of following Clinical Practice Guidelines (CPGs) in the daily practice of medicine have been widely studied, being a powerful method for standardization and improvement of medical care quality. However, applying these guidelines to promote evidence-based and up-to-date clinical practice is a known challenge due to the lack of digitalization of clinical guidelines. In order to overcome this issue, the use of Clinical Decision Support Systems (CDSS) has been promoted in clinical centres. Nevertheless, CPGs must be formalized in a computer interpretable way to be implemented within CDSS. Moreover, these systems are usually developed and implemented using local setups, and hence local terminologies, which causes lack of semantic interoperability. In this context, the implementation of Semantic Web Technologies (SWTs) to formalize the concepts used in guidelines promotes the interoperability and standardization of those systems. In this paper, an architecture that allows the
formalization of CPGs into Computer Interpretable Guidelines (CIGs) supported by an ontology in the gestational diabetes domain is presented. This CIG has been implemented within a CDSS and a mobile application has been developed for guiding patients based on up-to-date evidence based clinical guidelines.
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