Intelligent Systems for Sustainable Person-Centered Healthcare /

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 di...

Full description

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Kriksciuniene, Dalia (Editor), Sakalauskas, Virgilijus (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2022.
Edition:1st ed. 2022.
Series:Intelligent Systems Reference Library, 205
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary: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. .
Physical Description:1 online resource (XIV, 250 pages 61 illustrations, 37 illustrations in color)
ISBN:9783030793531
ISSN:1868-4408 ;
DOI:10.1007/978-3-030-79353-1
Access:Open Access