Towards More Optimal Medical Diagnosing with Evolutionary Algorithms
Journal of Medical Systems
Extracting the workflow critical path from the extended well-formed workflow schema
Journal of Computer and System Sciences
A Semi-open Queueing Network Approach to the Analysis of Patient Flow in Healthcare Systems
CBMS '07 Proceedings of the Twentieth IEEE International Symposium on Computer-Based Medical Systems
Computers and Operations Research
Medical diagnostic process optimization through the semantic integration of data resources
Computer Methods and Programs in Biomedicine
Optimisation-Based on Simulation: A Diagnostic Imaging Department Case-Study
EKNOW '10 Proceedings of the 2010 Second International Conference on Information, Process, and Knowledge Management
Supporting adaptive clinical treatment processes through recommendations
Computer Methods and Programs in Biomedicine
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Hospital waiting times are considerably long, with no signs of reducing any-time soon. A number of factors including population growth, the ageing population and a lack of new infrastructure are expected to further exacerbate waiting times in the near future. In this work, we show how healthcare services can be modelled as queueing nodes, together with healthcare service workflows, such that these workflows can be optimised during execution in order to reduce patient waiting times. Services such as X-ray, computer tomography, and magnetic resonance imaging often form queues, thus, by taking into account the waiting times of each service, the workflow can be re-orchestrated and optimised. Experimental results indicate average waiting time reductions are achievable by optimising workflows using dynamic re-orchestration.