Multitasking information seeking and searching processes
Journal of the American Society for Information Science and Technology
Proceedings of the 35th conference on Winter simulation: driving innovation
Towards a composite modelling approach for multitasking
TAMODIA '04 Proceedings of the 3rd annual conference on Task models and diagrams
Interconnected DES models of emergency, outpatient, and inpatient departments of a hospital
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Journal of Medical Systems
DGHPSim: supporting smart thinking to improve hospital performance
Proceedings of the 40th Conference on Winter Simulation
A simulator to improve waiting times at a medical imaging center
Proceedings of the 40th Conference on Winter Simulation
Model reuse versus model development: effects on credibility and learning
Winter Simulation Conference
DGHPSIM:: Generic simulation of hospital performance
ACM Transactions on Modeling and Computer Simulation (TOMACS)
A simulation-based decision support system to model complex demand driven healthcare facilities
Proceedings of the Winter Simulation Conference
Using simplified discrete-event simulation models for health care applications
Proceedings of the Winter Simulation Conference
Using ABMS to simulate emergency departments
Proceedings of the Winter Simulation Conference
Modeling Throughput of Emergency Departments via Time Series: An Expectation Maximization Algorithm
ACM Transactions on Management Information Systems (TMIS) - Special Issue on Informatics for Smart Health and Wellbeing
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As part of a larger project examining the effect of performance targets on UK hospitals, we present a simulation of an Accident and Emergency (A&E) Department. Performance targets are an important part of the National Health Service (NHS) performance assessment regime in the UK. Pressures on A&Es force the medical staff to take actions meeting these targets with limited resources. We used simulation modelling to help understand the factors affecting this performance. We utilized real data from patient admission system of an A&E and presented some data analysis. Our particular focuses are the multitasking behaviour and experience level of medical staff, both of which affect A&E performance. This performance affects, in turn, the overall performance of the hospital of which it is part.