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        Intelligent Systems for Sustainable Person-Centered Healthcare

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        Contributor(s)
        Kriksciuniene, Dalia (editor)
        Sakalauskas, Virgilijus (editor)
        Collection
        EU collection
        Language
        English
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        Abstract
        This open access book establishes a dialog among the medical and intelligent system domains for igniting transition toward a sustainable and cost-effective healthcare. The Person-Centered Care (PCC) positions a person in the center of a healthcare system, instead of defining a patient as a set of diagnoses and treatment episodes. The PCC-based conceptual background triggers enhanced application of Artificial Intelligence, as it dissolves the limits of processing traditional medical data records, clinical tests and surveys. Enhanced knowledge for diagnosing, treatment and rehabilitation is captured and utilized by inclusion of data sources characterizing personal lifestyle, and health literacy, and it involves insights derived from smart ambience and wearables data, community networks, and the caregivers’ feedback. The book discusses intelligent systems and their applications for healthcare data analysis, decision making and process design tasks. The measurement systems and efficiency evaluation models analyze ability of intelligent healthcare system to monitor person health and improving quality of life.
        URI
        https://library.oapen.org/handle/20.500.12657/53327
        Keywords
        Person-centered Healthcare Model; Heterogeneous Healthcare Data; Remote Care Feedback Mechanisms; Monitoring Health Status; Data-driven Decision Making for Person Health; Efficiency of Healthcare; Quality of Person-centered Care; Big Data for Personal Self-sustainment; Open Access
        DOI
        10.1007/978-3-030-79353-1
        ISBN
        9783030793531, 9783030793531
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Cham, 2022
        Grantor
        • European Cooperation in Science and Technology - [grantnumber unknown]
        Imprint
        Springer
        Series
        Intelligent Systems Reference Library, 205
        Classification
        Artificial intelligence
        Biomedical engineering
        Pages
        250
        Rights
        http://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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