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Distributed Continuous Home Care Provisioning through Personalized Monitoring & Treatment Planning

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Femke OngenaeAuthors Info & Claims

WWW '20: Companion Proceedings of the Web Conference 2020

Pages 143 - 147

https://doi.org/10.1145/3366424.3383528

Published: 20 April 2020 Publication History

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Abstract

In healthcare, the aging of the population is resulting in a gradual shift from residential care to home care, requiring reliable follow-up of elderly people by a whole network of care providers. The environment of these patients is increasingly being equipped with different monitoring devices, which allow to obtain insight into the current condition of patient & environment. However, current monitoring platforms that support care providers are centralized and not personalized, reducing performance, scalability, autonomy and privacy. Because the available data is only exposed through custom APIs, profile knowledge cannot be efficiently exchanged, which is required to provide optimal care. Therefore, this paper presents a distributed data-driven platform, built on Semantic Web technologies, that enables the integration of all profile knowledge in order to deliver personalized continuous home care. It provides a distributed smart monitoring service, which allows to locally monitor only the relevant sensors according to the patient’s profile, and infer personalized decisions when analyzing events. Moreover, it provides a medical treatment planning service, which composes treatment plans tailored to each patient, including personalized quality of service parameters allowing a doctor to select the optimal plan. To illustrate how the platform delivers these services, the paper also presents a demonstrator using a realistic home care scenario.

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Cited By

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De Brouwer MBonte PArndt DVander Sande MDimou AVerborgh RDe Turck FOngenae F(2024)Optimized continuous homecare provisioning through distributed data-driven semantic services and cross-organizational workflowsJournal of Biomedical Semantics10.1186/s13326-024-00303-415:1Online publication date: 6-Jun-2024
https://doi.org/10.1186/s13326-024-00303-4
de Leng DBonte P(2024)Last Night in Sweden: A Vision for Resource-Intelligent Stream ReasoningProceedings of the 18th ACM International Conference on Distributed and Event-based Systems10.1145/3629104.3666035(103-109)Online publication date: 24-Jun-2024
https://dl.acm.org/doi/10.1145/3629104.3666035
Iglesias-Molina AVan Assche DArenas-Guerrero JDe Meester BDebruyne CJozashoori SMaria PMichel FChaves-Fraga DDimou A(2023)The RML Ontology: A Community-Driven Modular Redesign After a Decade of Experience in Mapping Heterogeneous Data to RDFThe Semantic Web – ISWC 202310.1007/978-3-031-47243-5_9(152-175)Online publication date: 27-Oct-2023
https://doi.org/10.1007/978-3-031-47243-5_9
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Distributed Continuous Home Care Provisioning through Personalized Monitoring & Treatment Planning

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Published In

WWW '20: Companion Proceedings of the Web Conference 2020

April 2020

854 pages

ISBN:9781450370240

DOI:10.1145/3366424

Editors:
Amal El Fallah Seghrouchni
Sorbonne University, France
,
Gita Sukthankar
University of Central Florida, United States
,
Tie-Yan Liu
Microsoft Research Asia, China
,
Maarten van Steen
University of Twente, Netherlands

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 20 April 2020

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De Brouwer MBonte PArndt DVander Sande MDimou AVerborgh RDe Turck FOngenae F(2024)Optimized continuous homecare provisioning through distributed data-driven semantic services and cross-organizational workflowsJournal of Biomedical Semantics10.1186/s13326-024-00303-415:1Online publication date: 6-Jun-2024
https://doi.org/10.1186/s13326-024-00303-4
de Leng DBonte P(2024)Last Night in Sweden: A Vision for Resource-Intelligent Stream ReasoningProceedings of the 18th ACM International Conference on Distributed and Event-based Systems10.1145/3629104.3666035(103-109)Online publication date: 24-Jun-2024
https://dl.acm.org/doi/10.1145/3629104.3666035
Iglesias-Molina AVan Assche DArenas-Guerrero JDe Meester BDebruyne CJozashoori SMaria PMichel FChaves-Fraga DDimou A(2023)The RML Ontology: A Community-Driven Modular Redesign After a Decade of Experience in Mapping Heterogeneous Data to RDFThe Semantic Web – ISWC 202310.1007/978-3-031-47243-5_9(152-175)Online publication date: 27-Oct-2023
https://doi.org/10.1007/978-3-031-47243-5_9
Oo SHaesendonck GDe Meester BDimou A(2022)RMLStreamer-SISO: An RDF Stream Generator from Streaming Heterogeneous DataThe Semantic Web – ISWC 202210.1007/978-3-031-19433-7_40(697-713)Online publication date: 16-Oct-2022
https://doi.org/10.1007/978-3-031-19433-7_40
Tommasini RBonte PSpiga FDella Valle ETommasini RBonte PSpiga FDella Valle E(2022)General IntroductionStreaming Linked Data10.1007/978-3-031-15371-6_1(1-16)Online publication date: 22-Aug-2022
https://doi.org/10.1007/978-3-031-15371-6_1
De Paepe DVanden Hautte SSteenwinckel BMoens PVaneessen JVandekerckhove SVolckaert BOngenae FVan Hoecke S(2021)A Complete Software Stack for IoT Time-Series Analysis that Combines Semantics and Machine Learning—Lessons Learned from the Dyversify ProjectApplied Sciences10.3390/app11241193211:24(11932)Online publication date: 15-Dec-2021
https://doi.org/10.3390/app112411932

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Towards continuous monitoring in personalized healthcare through digital twins

Towards personalised home care systems

Life data monitoring and analysis model for personalized healthcare

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