000 04230nam a22005055i 4500
001 978-88-470-2321-5
003 DE-He213
005 20140220083335.0
007 cr nn 008mamaa
008 120611s2012 it | s |||| 0|eng d
020 _a9788847023215
_9978-88-470-2321-5
024 7 _a10.1007/978-88-470-2321-5
_2doi
050 4 _aHD87-87.55
072 7 _aKCP
_2bicssc
072 7 _aPOL024000
_2bisacsh
082 0 4 _a338.9
_223
100 1 _aTànfani, Elena.
_eeditor.
245 1 0 _aAdvanced Decision Making Methods Applied to Health Care
_h[electronic resource] /
_cedited by Elena Tànfani, Angela Testi.
264 1 _aMilano :
_bSpringer Milan :
_bImprint: Springer,
_c2012.
300 _aVIII, 236 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aInternational Series in Operations Research & Management Science,
_x0884-8289 ;
_v173
505 0 _aWorkforce Management based on forecasted demand -- Operating rooms scheduling under uncertainty -- Idealised design and modelling of alternatives to hospital care -- A coordination model for enhancing research on rare diseases -- Integrating simulation and risk-based sensitivity analysis methods in hospital emergency department design -- Technical and scale efficiencies of Catholic hospitals: Does a system value of stewardship matter?- Optimal allocation of urban nuclei to hospital birth centres in a geographical region -- The nurse-to-patient assigment problem in Home Care services -- An analysis of the financial statements of Italian health care providers through correlation-based networks -- Prioritizing health care interventions: A multicriteria resource allocation model to inform the choice of community care programmes -- Using data envelopment analysis for formative evaluation of radiotherapy services: An exploratory study -- A simulation-based decision support tool to analyze clinical pathways in hospital -- Patient mix optimisation for inpatient planning with multiple resources.
520 _aThe most difficult part of making decisions in the health care field on all levels (national, regional, institutional, patient) is linked to the very complexity of the system itself, to the intrinsic uncertainty involved and its dynamic nature. This requires not only the ability to analyze and interpret a large amount of information but also arrange it so that it becomes a cognitive base for appropriate decision-making. Moreover, decisions in the health care field are subjected to many challenges and constraints: fast change and uncertain outcomes, aging population, increasing citizen expectations, equity considerations and limited resources. Operations research, statistical and economic-related quantitative methods supply these decisions making tools and methodology. The contributed book presents a collection of applications to concrete situations detailing the problem area, the methodology employed, the implementation and results. Each topic addressed in the book will be structured in such a way that an interdisciplinary and wide audience will be able to use the materials presented. As an example the book chapters will address health policies issues, planning health services, epidemiology and disease modelling, home-care modelling, logistics in health care, capacity planning, quality and appropriateness.
650 0 _aEconomics.
650 0 _aMedicine.
650 0 _aStatistics.
650 0 _aEconomic policy.
650 1 4 _aEconomics/Management Science.
650 2 4 _aEconomic Policy.
650 2 4 _aOperations Research, Management Science.
650 2 4 _aMedicine/Public Health, general.
650 2 4 _aStatistics for Life Sciences, Medicine, Health Sciences.
700 1 _aTesti, Angela.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9788847023208
830 0 _aInternational Series in Operations Research & Management Science,
_x0884-8289 ;
_v173
856 4 0 _uhttp://dx.doi.org/10.1007/978-88-470-2321-5
912 _aZDB-2-SBE
999 _c104110
_d104110