000			03356cam a22004215i 4500
999			_c43853 _d43853
001			21769278
003			OSt
005			20221006110038.0
006			m |o d |
007			cr |||||||||||
008			181029s2019 gw |||| o |||| 0|eng
010			_a 2019758698
020			_a9783319981031
040			_cAfrica University Library
050			_aRA975.5
100	1		_aBen Zayed, Salman, _eauthor.
245	1	0	_aSystem Reengineering in Healthcare: _cby Salman Ben Zayed, Abdullah Bin Gani, Mohd Khalit Bin Othman. _bApplication for Hospital Emergency Departments /
250			_a1st ed. 2019.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2019.
300			_a57 pages.: _b23 illustrations in color.
505	0		_aIntroduction -- Literature Review -- Method -- Result -- Discussion -- Conclusion.
520			_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.
588			_aDescription based on publisher-supplied MARC data.
650		0	_aBiomedical engineering.
650		0	_aComputational intelligence.
650		0	_aHealth informatics.
650	1	4	_aComputational Intelligence. _0https://scigraph.springernature.com/ontologies/product-market-codes/T11014
650	2	4	_aBiomedical Engineering and Bioengineering. _0https://scigraph.springernature.com/ontologies/product-market-codes/T2700X
650	2	4	_aHealth Informatics. _0https://scigraph.springernature.com/ontologies/product-market-codes/H28009
700	1		_aBin Gani, Abdullah, _eauthor.
700	1		_aBin Othman, Mohd Khalit, _eauthor.
776	0	8	_iPrint version: _tSystem reengineering in healthcare. _z9783319981031 _w(DLC) 2018952613
776	0	8	_iPrinted edition: _z9783030074517
776	0	8	_iPrinted edition: _z9783319981031
776	0	8	_iPrinted edition: _z9783319981055
830		0	_aStudies in Systems, Decision and Control, _x2198-4182 ; _v172
942			_2lcc _cBK MNGCL _e1st _kRA975.5 _mZAY 2019.