000 04199nam a22005535i 4500
001 978-3-030-79353-1
003 DE-He213
005 20220929150412.0
007 cr nn 008mamaa
008 220217s2022 sz | s |||| 0|eng d
020 _a9783030793531
_9978-3-030-79353-1
024 7 _a10.1007/978-3-030-79353-1
_2doi
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aIntelligent systems for sustainable person-centered healthcare
_h[electronic resource] /
_cedited by Dalia Kriksciuniene, Virgilijus Sakalauskas.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aXIV, 250 p. 61 illus., 37 illus. in color.
_bonline resource.
336 _btxt
337 _bc
338 _bcr
347 _atext file
_bPDF
_2rda
490 1 _aIntelligent Systems Reference Library,
_x1868-4408 ;
_v205
505 0 _aAnalysis and conceptualization of healthcare systems in the context of technological innovation and personalization -- Person-centred care, theory, operationalisation and effects -- Person-Centred Care Implementation: Design and Evaluation Considerations -- Person-Centred Care Interventions in Pharmaceutical Care -- Shared decision making -- Advancement of efficiency evaluation for healthcare -- An overview of measurement systems and practices in healthcare systems applied to person-centred care interventions -- Studying the impact of human resources on the efficiency of healthcare systems and person-centred care -- Overview of the artificial intelligence methods and analysis of their application potential -- Discovering healthcare data patterns by artificial intelligence methods.
506 0 _aOpen Access
520 _aThis 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. .
650 0 _aComputational intelligence.
650 0 _aBiomedical engineering.
_9111890
650 1 4 _aComputational Intelligence.
650 2 4 _aBiomedical Engineering and Bioengineering.
_9111891
700 1 _aKriksciuniene, Dalia.
_9111892
700 1 _aSakalauskas, Virgilijus.
_9111893
710 2 _aSpringerLink (Online service)
_9107205
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030793524
776 0 8 _iPrinted edition:
_z9783030793548
776 0 8 _iPrinted edition:
_z9783030793555
830 0 _aIntelligent Systems Reference Library,
_x1868-4408 ;
_v205
_9111894
856 4 0 _yLink to Springer open access ebook
_uhttps://doi.org/10.1007/978-3-030-79353-1
856 4 0 _ySend a message to library staff if access to this online resource is unavailable
_uhttps://tinyurl.com/52eeu77j
912 _aZDB-2-INR
912 _aZDB-2-SXIT
912 _aZDB-2-SOB
999 _c51020
_d51020