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020 _a9783319981048
024 7 _a10.1007/978-3-319-98104-8
_2doi
040 _bspa
_dES-MaUEC
_cES-MaUEC
050 4 _aQ342
_b2019 EB
100 1 _aZayed, Salman Ben
_eautor
_9671213
245 1 0 _aSystem Reengineering in Healthcare :
_bApplication for Hospital Emergency Departments
_cby Salman Ben Zayed, Abdullah Bin Gani, Mohd Khalit Bin Othman.
264 1 _aCham
_bImprint: Springer
_c2019
300 _a1 recurso en línea (XXVIII, 57 páginas)
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
_2rda
490 0 _aStudies in Systems Decision and Control
_x2198-4182
_v172
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
505 0 _aIntroduction -- Literature Review -- Method -- Result -- Discussion -- Conclusion.
520 3 _aThis book presents an advanced systematic mapping review (SMR) and state-of-the-art taxonomy of emergency departments (EDs). Focusing on the patients' level of fulfilment and how it can be enhanced, it examines existing problems like waiting periods and overcrowding and how these can be alleviated to provide a better service. The author examined research papers from 1964 to 2018, and developed six research questions, organising them using mapping studies, the primary objectives of which were firstly, to obtain a common understanding of the problems that need to be highlighted in EDs, and secondly, to re-analyse the methods used. Focusing on quality, the book encourages citations of experimental methods from important studies concerning EDs that can improve services. Through different research papers, various thematic areas in the healthcare sector were examined, like the determination of the relative efficiency of pre-discharge interventions; the analysis of care and managing common indications during the last stages of life; using e-Health to enhance effectiveness and proficiency; the seriousness of patient differences among EDs; the identification of quality problems in healthcare contexts; existing opportunities and the suggested plans. The book concludes that an analytical decision-making process should be used to assess a health technology on the basis of its performance. It stresses the importance of updating this analytical system frequently.
988 _aPrimersemestre_2019_Robotics
650 7 _2embne
_aInteligencia artificial
_9413115
650 7 _2embne
_9143820
_aIngeniería biomédica
700 1 _aBin Gani, Abdullah.
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aBin Othman, Mohd Khalit.
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
776 0 8 _iPrinted edition:
_z9783319981031
776 0 8 _iPrinted edition:
_z9783319981055
776 0 8 _iPrinted edition:
_z9783030074517
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-98104-8
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _aSI
_cm
_dz
_feng
_ggw
_h0
_b10/2019
_ek
_zSI