000			02999nam a2200421 i 4500
999			_c383656 _d383656
001			383656
003			ES-MaUEC
005			20230102122139.0
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007			cr nn 008mamaa
008			200922s2021 sz a o |||| 0|eng d
020			_a9783030536107
024	7		_a10.1007/978-3-030-53610-7 _2doi
040			_bspa _cES-MaUEC _dES-MaUEC
050		4	_aRC78.15 _b2021 EB
100	1		_aRosenthal, Daniel I. _q(Daniel Ira) _d1948- _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9685051
245	1	0	_aEfficient Radiology : _bHow to Optimize Radiology Operations _cby Daniel Rosenthal, Oleg Pianykh
250			_a1st edition 2021
264		1	_aCham _bSpringer International Publishing _c2021
300			_a1 recurso en línea (XVI, 232 páginas) _b103 ilustraciones, 92 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
505	0		_aPart 1. A word about numbers -- Mining your own business -- Part 2. Ordering -- Scheduling.-Examinations, Protocols, Autoprotocols -- Arriving for the Examination -- Creating the Imagines.-Image Delivery -- From Images to Reports -- Part 3. Ars Longa, Vita Brevis.
520	3		_aAiming at building efficient radiology operations, this book walks the reader through the entire radiology workflow, from the moment that the examination is requested to the reporting of findings. Using their practical experience, the authors draw attention to the many elements that can go wrong at each step, and explain how critical analysis and objective metrics can be used to fix broken processes. Readers will learn how to measure the efficiency of their workflows, where to find relevant data, and how to use it in the most productive ways. The book also addresses how data can be turned into insightful operational information to produce organizational change. All aspects of radiology operations are considered including ordering, scheduling, protocols, checking-in, image acquisition, image interpretation, communication, and billing. The closing section provides a deeper dive into the advanced tools and techniques that are used to analyze operations, including queuing theory, process mining and artificial intelligence
988			_aSpringer_Medicine_2021
650		7	_2embne _9138504 _aRadiografía médica
700	1		_aPianykh, Oleg S. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _988478
776	0	8	_iPrinted edition: _z9783030536091
776	0	8	_iPrinted edition: _z9783030536114
776	0	8	_iPrinted edition: _z9783030536121
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-53610-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b10/2022 _dz _eb _zSI