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A Service-oriented Framework for Developing Personalized Patient Care Plans for COVID-19

Authors:

Jaideep VaidyaAuthors Info & Claims

dg.o '21: Proceedings of the 22nd Annual International Conference on Digital Government Research

Pages 234 - 241

https://doi.org/10.1145/3463677.3463742

Published: 09 June 2021 Publication History

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Abstract

The COVID-19 pandemic has identified weaknesses and stresses in the existing healthcare and governance system, even in the most developed countries. Given the scale and scope of the pandemic, existing healthcare systems are heavily resource constrained, and home-based isolation has been considered as a potential first step for reducing both the disease spread and the stress on the healthcare system. However, the needs and requirements of home-based isolation are extremely unique for each patient, depending on their medical condition and comorbidities, family responsibilities, and environmental constraints. Therefore, it is necessary to develop personalized patient care plans to ensure that the needs of each patient are appropriately met. In this paper we propose a service oriented framework that allows dynamic composition and management of such plans assuming existence of an appropriate knowledge base and availability of web-services interfaces of the underlying systems of caregivers and service providers. We develop a prototype implementation to show the feasibility of the proposed framework and discuss the challenges/issues in deploying such a system in practice.

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Cited By

Cai YYu FKumar MGladney RMostafa J(2022)Health Recommender Systems Development, Usage, and Evaluation from 2010 to 2022: A Scoping ReviewInternational Journal of Environmental Research and Public Health10.3390/ijerph19221511519:22(15115)Online publication date: 16-Nov-2022
https://doi.org/10.3390/ijerph192215115
Leite GAlbuquerque APinheiro P(2021)Applications of Technological Solutions in Primary Ways of Preventing Transmission of Respiratory Infectious Diseases—A Systematic Literature ReviewInternational Journal of Environmental Research and Public Health10.3390/ijerph18201076518:20(10765)Online publication date: 14-Oct-2021
https://doi.org/10.3390/ijerph182010765

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cover image ACM Other conferences

dg.o '21: Proceedings of the 22nd Annual International Conference on Digital Government Research

June 2021

600 pages

ISBN:9781450384926

DOI:10.1145/3463677

Copyright © 2021 ACM.

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: 09 June 2021

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DG.O'21

DG.O'21: The 22nd Annual International Conference on Digital Government Research

June 9 - 11, 2021

NE, Omaha, USA

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Cited By

Cai YYu FKumar MGladney RMostafa J(2022)Health Recommender Systems Development, Usage, and Evaluation from 2010 to 2022: A Scoping ReviewInternational Journal of Environmental Research and Public Health10.3390/ijerph19221511519:22(15115)Online publication date: 16-Nov-2022
https://doi.org/10.3390/ijerph192215115
Leite GAlbuquerque APinheiro P(2021)Applications of Technological Solutions in Primary Ways of Preventing Transmission of Respiratory Infectious Diseases—A Systematic Literature ReviewInternational Journal of Environmental Research and Public Health10.3390/ijerph18201076518:20(10765)Online publication date: 14-Oct-2021
https://doi.org/10.3390/ijerph182010765

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