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Development of an interoperable-integrated care service architecture for intellectual disability services: an Irish case study

Das, Subhashis orcid logoORCID: 0000-0003-1479-1985 and Hussey, Pamela orcid logoORCID: 0000-0003-2840-9361 (2021) Development of an interoperable-integrated care service architecture for intellectual disability services: an Irish case study. In: Frontiers of Data and Knowledge Management for Convergence of ICT, Healthcare, and Telecommunication Services. Springer, Cham, pp. 1-24. ISBN 978-3-030-77557-5

Abstract
The Center for eIntegrated Care (CeIC) in Dublin City University is a research center with a mission to advance eIntegrated care in order to improve citi- zen health and wellbeing. The core objective of the CeIC is to inform, develop and advance knowledge on integrated care at the national and international level to sup- port eHealth practices, empower citizens and practitioners. This chapter will provide a summary overview using a case study focused on development of an ontology underpinned by a published International Standard ISO 13940 entitled Health Infor- matics Systems of Concepts for Continuity of Care (Contsys). The development work focuses on semantic interoperabilty to support service improvement initiatives to in- form the development of core infrastructure for shared intellectual disablities care services. Based on user defined and agreed needs, the authors illustrate phase one of preliminary development work using a dedicated application to support COVID-19 clients in residential care units. This initial work is used to test an emerging con- ceptual framework underpinned by state of the art health informatics standards for knowledge discovery and data integration systems. Involving a scholarship group of intellectual disability service staff and users, a co-participatory design approach has been used to conduct the following methodology.
Metadata
Item Type:Book Section
Refereed:Yes
Uncontrolled Keywords:Continuity of care; Co-participatory design; FHIR; Healthcare; Knowledge graph; Ontology; Semantic interoperability;
Subjects:Computer Science > Artificial intelligence
Medical Sciences > Health
Medical Sciences > Nursing
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
Publisher:Springer, Cham
Official URL:https://dx.doi.org/10.1007/978-3-030-77558-2_1
Copyright Information:© 2021 Springer
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:European Union’s Horizon 2020 research and innovation programme under the ELITE-S Marie Skłodowska-Curie grant agreement No. 801522, by Science Foundation Ireland and co-funded by the European Regional Developme
ID Code:27034
Deposited On:19 Apr 2022 12:37 by Subhashis Das . Last Modified 25 Apr 2022 09:48
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