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008			220326s2022 sz | s |||| 0|eng d
020			_a9783030793531
024	7		_a10.1007/978-3-030-79353-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aR859.7.A78 _b2022 EB
245	0	0	_aIntelligent Systems for Sustainable Person-Centered Healthcare _cedited by Dalia Kriksciuniene, Virgilijus Sakalauskas
250			_aFirst edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XIV, 250 páginas) _b61 ilustraciones, 37 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_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.
988			_aSpringer_Robotics_2022
650		7	_2embne _9421371 _aInteligencia artificial en medicina
700	1		_aKriksciuniene, Dalia _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aSakalauskas, Virgilijus _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783030793524
776	0	8	_iPrinted edition: _z9783030793548
776	0	8	_iPrinted edition: _z9783030793555
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-79353-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b03/2022 _dz _eIG _zSI