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http://bura.brunel.ac.uk/handle/2438/20418
Title: | An integrated model of patient and staff satisfaction using queuing theory |
Authors: | Mousavi, A Komashie, A Clarkson, J Young, T |
Keywords: | Patient satisfaction;staff satisfaction;queuing theory;waiting time;service time |
Issue Date: | 6-Feb-2015 |
Publisher: | IEEE |
Citation: | A. Komashie, A. Mousavi, P. J. Clarkson and T. Young, "An Integrated Model of Patient and Staff Satisfaction Using Queuing Theory," in IEEE Journal of Translational Engineering in Health and Medicine, vol. 3, pp. 1-10, 2015, |
Abstract: | This paper investigates the connection between patient satisfaction, waiting time, staff satisfaction and service time. It uses a variety of models to enable improvement against experiential and operational health service goals. Patient satisfaction levels are estimated using a model based on waiting (waiting times). Staff satisfaction levels are estimated using a model based on the time spent with patients (service time). An integrated model of patient and staff satisfaction, the Effective Satisfaction Level (ESL) model, is then proposed (using queuing theory). This links patient satisfaction, waiting time, staff satisfaction, and service time, connecting two important concepts, namely experience and efficiency in care delivery and leading to a more holistic approach in designing and managing health services. The proposed model will enable healthcare systems analysts to objectively and directly relate elements of service quality to capacity planning. Moreover, as an instrument used jointly by healthcare commissioners and providers, it affords the prospect of better resource allocation. Index |
URI: | http://bura.brunel.ac.uk/handle/2438/20418 |
DOI: | http://dx.doi.org/10.1109/JTEHM.2015.2400436 |
metadata.dc.relation.replaces: | http://bura.brunel.ac.uk/handle/2438/10110 2438/10110 |
ISSN: | 2168-2372 |
Other Identifiers: | http://bura.brunel.ac.uk/handle/2438/10110 2200110 http://bura.brunel.ac.uk/handle/2438/10110 2200110 |
Appears in Collections: | Dept of Computer Science Research Papers |
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Fulltext.pdf | 4.85 MB | Adobe PDF | View/Open |
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