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Multi-Version Ontology-Based Personalization of Clinical Guidelines for Patient-Centric Healthcare

Multi-Version Ontology-Based Personalization of Clinical Guidelines for Patient-Centric Healthcare

Fabio Grandi, Federica Mandreoli, Riccardo Martoglia
Copyright: © 2017 |Volume: 13 |Issue: 1 |Pages: 24
ISSN: 1552-6283|EISSN: 1552-6291|EISBN13: 9781522511571|DOI: 10.4018/IJSWIS.2017010107
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MLA

Grandi, Fabio, et al. "Multi-Version Ontology-Based Personalization of Clinical Guidelines for Patient-Centric Healthcare." IJSWIS vol.13, no.1 2017: pp.104-127. http://doi.org/10.4018/IJSWIS.2017010107

APA

Grandi, F., Mandreoli, F., & Martoglia, R. (2017). Multi-Version Ontology-Based Personalization of Clinical Guidelines for Patient-Centric Healthcare. International Journal on Semantic Web and Information Systems (IJSWIS), 13(1), 104-127. http://doi.org/10.4018/IJSWIS.2017010107

Chicago

Grandi, Fabio, Federica Mandreoli, and Riccardo Martoglia. "Multi-Version Ontology-Based Personalization of Clinical Guidelines for Patient-Centric Healthcare," International Journal on Semantic Web and Information Systems (IJSWIS) 13, no.1: 104-127. http://doi.org/10.4018/IJSWIS.2017010107

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Abstract

When dealing with a specific patient case, physicians are often interested in retrieving a personalized version of a clinical guideline, that is a version tailored to their use needs. In a patient-centric scenario, empowered patients make up another class of users interested in retrieving personalized care plans from a guideline repository. In their previous work, the authors proposed techniques to efficiently provide ontology-based personalized access to very large collections of multi-version clinical guidelines. In this paper, they address the problem of also dealing with a multi-version ontology used to support personalized access to clinical guidelines. The authors' approach allows the semantic indexing of guideline contents with respect to multi-version ontology classes and exploits the IS-A relationship among such classes for granting personalized access. Efficiency is ensured by a newly introduced annotation scheme for guidelines and solutions to cope with the evolution of ontology structure. The tests performed on a prototype implementation confirm the goodness of the approach.

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