000			03882nam a22003735i 4500
001			86209
003			ES-MaUEC
005			20230207040548.0
007			cr nn 008mamaa
008			160720s2016 gw | s |||| 0|eng d
020			_a9783319408125
040			_aES-MaUEC
050		4	_aR856 _b2016 EB
082	0	4	_a353.6
100	1		_aFabri, Peter J. _999766 _0Local
245	1	0	_aMeasurement and Analysis in Transforming Healthcare Delivery : _bVolume 1: Quantitative Approaches in Health Systems Engineering _cby Peter J Fabri
260			_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (XIV, 181 páginas) _b32 ilustraciones, 31 ilustraciones en color
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
505	0		_aIntroduction to Measurement and Analysis -- Data and Types of Data -- Software for Analytics -- Measurement and Uncertainty -- Mathematical and Statistical Concepts in Data Analysis -- Analysis by Modeling Data -- Principles of Supervised Learning -- Unsupervised Machine Learning�Datasets Without Outcomes -- Survival Analysis -- Interpreting Outcomes: Cause and Effect and p-values -- Useful Tools.
520	3		_aThis volume provides the important concepts necessary for a physician to participate in a reengineering process, develop decision-making skills based on probability and logic rather than zrules,y and to measure and analyze meaningful outcomes of care delivery. This approach has been developed over ten years in a medical student-based program and has been enthusiastically embraced by medical students without backgrounds in engineering or statistics. More specifically, this text will introduce physicians to relevant and available computer software, combined with an in depth knowledge of measurement, variation, and uncertainty. It provides a basis for the transformation of data into information, information into knowledge, and knowledge into wisdom. The first quarter of the book will address understanding and visualizing data, using statistical and graphic analysis. The next quarter addresses the fundamentals of applied statistics, and the application of conditional probability to clinical decision making. The next quarter addresses the four zcornerstonesy of modern analytics: regression, classification, association analysis, and clustering. The final section addresses the identification of outliers and their importance in understanding, the assessment of cause and effect and the limitations associated with retrospective data analysis. This toolbox will prepare the interested physician to actively engage in the identification of problem areas, the design of process-based solutions, and the continuous assessment of outcomes of clinical practice. Armed with this toolbox, the reader will be zprepared to make a differencey in the rapidly changing world of healthcare delivery. Measurement and Analysis in Transforming Healthcare Delivery is an excellent resource for general practitioners, health administrators, and all medical professionals interacting with healthcare delivery.
710	2		_aSpringerLink (Online service) _0Local _9106996
942			_2lcc _cLE
650		7	_aMedicina _0comprobar BNE19900959047 _2embne _9405021
650	0	7	_aServicios de salud _xAdministración _0 _2embne _9188538
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-40812-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319408125
907			_a.b12954871 _b10-10-17 _c21-11-16
988			_aSpringer_Medicine_2016
998			_am _a_alco _a_vill _b - - _cm _dz _e- _feng _ggw _h0
945			_aR856 .F337 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11597148 _z06-04-17
999			_c86209 _d86209 _x1