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ContSOnto: a formal ontology for continuity of care

Das, Subhashis orcid logoORCID: 0000-0001-9663-9009 and Hussey, Pamela orcid logoORCID: 0000-0003-2840-9361 (2021) ContSOnto: a formal ontology for continuity of care. In: pHealth 2021: Studies in Health Technology and Informatics, 8 – 10 Nov 2021, Genoa, Italy.

Abstract
The global pandemic over the past two years has reset societal agendas by identifying both strengths and weaknesses across all sectors. Focusing in particular on global health delivery, the ability of health care facilities to scale requirements and to meet service demands has detected the need for some national services and organisations to modernise their organisational processes and infrastructures. Core to requirements for modernisation is infrastructure to share information, specifically structural standardised approaches for both operational procedures and terminology services. Problems of data sharing (aka interoperability) is a main obstacle when patients are moving across healthcare facilities or travelling across border countries in cases where emergency treatment is needed. Experts in healthcare service delivery suggest that the best possible way to manage individual care is at home, using remote patient monitoring which ultimately reduces cost burden both for the citizen and service provider. Core to this practice will be advancing digitalisation of health care underpinned with safe integration and access to relevant and timely information. To tackle the data interoperability issue and provide a quality driven continuous flow of information from different health care information systems semantic terminology needs to be provided intact. In this paper we propose and present ContSonto a formal ontology for continuity of care based on ISO 13940:2015 ContSy and W3C Semantic Web Standards Language OWL (Web Ontology Language). ContSonto has several benefits including semantic interoperability, data harmonization and data linking. It can be use as a base model for data integration for different healthcare information models to generate knowledge graph to support shared care and decision making.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:EHR, Interoperability, Semantic, Ontology, OWL
Subjects:UNSPECIFIED
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
DCU Faculties and Schools > Faculty of Science and Health > School of Nursing, Psychotherapy & Community Health
Research Initiatives and Centres > ADAPT
Published in: pHealth 2021. 285. ios pres.
Publisher:ios pres
Official URL:https://dx.doi.org/10.3233/SHTI210577
Copyright Information:© 2021 The Authors and IOS Press. (CC-BY-NC 4.0)
Funders:European Union’s Horizon 2020 re- search and innovation programme under the ELITE-S Marie Skłodowska-Curie grant agreement No. 801522, Science Foundation Ireland and co-funded by the European Regional Development Fund through the ADAPT Centre for Digital Content Technology grant number 13/RC/2106 P2 and DAVRA Networks.
ID Code:27062
Deposited On:26 Apr 2022 09:28 by Subhashis Das . Last Modified 26 Apr 2022 09:28
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