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Meaningful Integration of Data from Heterogeneous Health Services and Home Environment Based on Ontology
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.ORCID iD: 0000-0002-3127-7024
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.ORCID iD: 0000-0003-0891-2859
2019 (English)In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 19, no 8, article id 1747Article in journal (Refereed) Published
Abstract [en]

The development of electronic health records, wearable devices, health applications and Internet of Things (IoT)-empowered smart homes is promoting various applications. It also makes health self-management much more feasible, which can partially mitigate one of the challenges that the current healthcare system is facing. Effective and convenient self-management of health requires the collaborative use of health data and home environment data from different services, devices, and even open data on the Web. Although health data interoperability standards including HL7 Fast Healthcare Interoperability Resources (FHIR) and IoT ontology including Semantic Sensor Network (SSN) have been developed and promoted, it is impossible for all the different categories of services to adopt the same standard in the near future. This study presents a method that applies Semantic Web technologies to integrate the health data and home environment data from heterogeneously built services and devices. We propose a Web Ontology Language (OWL)-based integration ontology that models health data from HL7 FHIR standard implemented services, normal Web services and Web of Things (WoT) services and Linked Data together with home environment data from formal ontology-described WoT services. It works on the resource integration layer of the layered integration architecture. An example use case with a prototype implementation shows that the proposed method successfully integrates the health data and home environment data into a resource graph. The integrated data are annotated with semantics and ontological links, which make them machine-understandable and cross-system reusable.

Place, publisher, year, edition, pages
MDPI, 2019. Vol. 19, no 8, article id 1747
Keywords [en]
FHIR; REST; Semantic Web; Web service; WoT; eHealth; health data integration; ontology; smart homes
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:bth-17810DOI: 10.3390/S19081747ISI: 000467644500001OAI: oai:DiVA.org:bth-17810DiVA, id: diva2:1304549
Note

open access

Available from: 2019-04-12 Created: 2019-04-12 Last updated: 2019-06-13Bibliographically approved

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fulltext(655 kB)43 downloads
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Goswami, Prashant

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