Variance analysis in Task-Time matrix clinical pathways

@article{Yan2017VarianceAI,
  title={Variance analysis in Task-Time matrix clinical pathways},
  author={Hui Yan and Pieter Van Gorp and Uzay Kaymak and Lei Ji and Xudong Lu and Choo Chiap Chiau and Hendrikus H. M. Korsten and Huilong Duan},
  journal={2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)},
  year={2017},
  pages={253-256}
}
Clinical pathways are popular healthcare management tools to standardise care and ensure quality. Measuring pathway conformance and analysing variances gives valuable feedback in the context of care improvement trajectories. The Business Process Model and Notation (BPMN) language and Task-Time matrices are popular ways to model clinical pathways. A key step in variance analysis involves the computation of optimal alignments between the pathway model and patient-specific traces. This paper… CONTINUE READING

Citations

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Aligning Event Logs to Task-Time Matrix Clinical Pathways in BPMN for Variance Analysis

  • IEEE Journal of Biomedical and Health Informatics
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