Abstract
![CDATA[The aim of this study is twofold. Firstly, to demonstrate how combining computer simulation, data from multiple data sources, and statistical methods, can extend the understanding of the issues associated with process modelling and in healthcare environment, and therefore contribute to in resource utilisation and in hospitals. Secondly, to provide simple re-useable methodology for cross-validation of multiple data-sources such as interviews, hospital IT data management systems and simulation results. The insight from this study are threefold. Firstly, the accuracy of the estimates of duration of cannulation obtained through the interviews with the nurses and the chemotherapy unit manager is very high. Secondly, although the duration estimates were the process obtained through interviews with nurses were oversimplified or incomplete and therefore did not realistically reflect complexity of a medical process with a significant number of relatively rarely exceptions. Thirdly, by combining multiple data sources it is possible to reduce costs associated with observation as a most expensive data-capturing approach. A detailed exposure of the methodology including description is provided to facilitate conducting similar research in hospitals in the future.]]
Original language | English |
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Title of host publication | Proceedings of the International Conference on Computational Modeling and Simulation (ICCMS 2017), 17-19 May, 2017, Colombo, Sri Lanka |
Publisher | University of Colombo |
Pages | 377-381 |
Number of pages | 5 |
Publication status | Published - 2017 |
Event | International Conference on Computational Modeling and Simulation - Duration: 17 May 2017 → … |
Conference
Conference | International Conference on Computational Modeling and Simulation |
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Period | 17/05/17 → … |
Keywords
- computer simulation
- chemotherapy
- catheterization