Download e-book for kindle: Advanced Decision Making Methods Applied to Health Care by Bernardetta Addis, Roberto Aringhieri (auth.), Elena Tà

By Bernardetta Addis, Roberto Aringhieri (auth.), Elena Tà nfani, Angela Testi (eds.)

ISBN-10: 8847023203

ISBN-13: 9788847023208

ISBN-10: 8847023211

ISBN-13: 9788847023215

The main tricky a part of making judgements within the future health care box on all degrees (national, local, institutional, sufferer) is associated with the very complexity of the procedure itself, to the intrinsic uncertainty concerned and its dynamic nature. This calls for not just the facility to investigate and interpret a large number of info but in addition set up it in order that it turns into a cognitive base for acceptable decision-making. additionally, judgements within the well-being care box are subjected to many demanding situations and constraints: quick swap and unsure results, getting older inhabitants, expanding citizen expectancies, fairness concerns and restricted assets. Operations study, statistical and economic-related quantitative equipment offer those judgements making instruments and technique. The contributed e-book provides a suite of functions to concrete occasions detailing the matter zone, the method hired, the implementation and effects. each one subject addressed within the publication might be based in the sort of approach that an interdisciplinary and broad viewers might be capable of use the fabrics offered. as an instance the ebook chapters will tackle healthiness rules matters, making plans health and wellbeing prone, epidemiology and disorder modelling, home-care modelling, logistics in well-being care, ability making plans, caliber and appropriateness.

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Extra info for Advanced Decision Making Methods Applied to Health Care

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Further research should replicate this study with real data in order to confirm our results. Testing with real data would help to confirm which distribution is the best fit for case variability between Beta PERT distribution and lognormal distribution. Future works could also assess the utility of this tool when making strategic decisions. Indeed, one could use our model to evaluate the impacts of adding one piece of specific specialized equipment in the long-run. One could also test the impacts of modifications on overtime policies as requested by a workers’ union for example.

Operating Room Scheduling Data Base Analysis for Scheduling. Journal of Medical Systems 12(6), 397–409 (1988) 13. ca (2004) 14. : Operating rooms scheduling. International Journal of Production Economics 99(1–2), 52–62 (2006) 15. : The operating theatre planning by the follow-up of the risk of no realization. International Journal of Production Economics 85(1), 83–90 (2003) 16. : Impact of surgical sequencing on post anesthesia care unit staffing. Health Care Management Science 9, 87–98 (2006) 17.

The tool could also be modified to automatically increment priority of a case if it is not performed within a given period of time. Although this work provides a flexible tool to build and to evaluate OR schedules, it does not take into account post-anesthesia care unit (PACU) where resources (beds) are limited. This could mean that cases durations could increase if no beds were available in the PACU because patients would be kept in the operating rooms. A natural extension of this work would take into account patients and material flows.

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Advanced Decision Making Methods Applied to Health Care by Bernardetta Addis, Roberto Aringhieri (auth.), Elena Tà nfani, Angela Testi (eds.)


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