title: Modelling and performance analysis of clinical pathways using the stochastic process algebra PEPA.
abstract: BACKGROUND
  Hospitals nowadays have to serve numerous patients with limited medical staff and equipment while maintaining healthcare quality. Clinical pathway informatics is regarded as an efficient way to solve a series of hospital challenges. To date, conventional research lacks a mathematical model to describe clinical pathways. Existing vague descriptions cannot fully capture the complexities accurately in clinical pathways and hinders the effective management and further optimization of clinical pathways.
  
  
  METHODS
  Given this motivation, this paper presents a clinical pathway management platform, the Imperial Clinical Pathway Analyzer (ICPA). By extending the stochastic model performance evaluation process algebra (PEPA), ICPA introduces a clinical-pathway-specific model: clinical pathway PEPA (CPP). ICPA can simulate stochastic behaviours of a clinical pathway by extracting information from public clinical databases and other related documents using CPP. Thus, the performance of this clinical pathway, including its throughput, resource utilisation and passage time can be quantitatively analysed.
  
  
  RESULTS
  A typical clinical pathway on stroke extracted from a UK hospital is used to illustrate the effectiveness of ICPA. Three application scenarios are tested using ICPA: 1) redundant resources are identified and removed, thus the number of patients being served is maintained with less cost; 2) the patient passage time is estimated, providing the likelihood that patients can leave hospital within a specific period; 3) the maximum number of input patients are found, helping hospitals to decide whether they can serve more patients with the existing resource allocation.
  
  
  CONCLUSIONS
  ICPA is an effective platform for clinical pathway management: 1) ICPA can describe a variety of components (state, activity, resource and constraints) in a clinical pathway, thus facilitating the proper understanding of complexities involved in it; 2) ICPA supports the performance analysis of clinical pathway, thereby assisting hospitals to effectively manage time and resources in clinical pathway.
authors.affiliation: Department of Computing, Imperial College London, London, SW7 2AZ, UK.
authors.forename: Xian
authors.initials: X
authors.lastname: Yang
authors.forename: Rui
authors.initials: R
authors.lastname: Han
authors.forename: Yike
authors.initials: Y
authors.lastname: Guo
authors.forename: Jeremy
authors.initials: J
authors.lastname: Bradley
authors.forename: Benita
authors.initials: B
authors.lastname: Cox
authors.forename: Robert
authors.initials: R
authors.lastname: Dickinson
authors.forename: Richard
authors.initials: R
authors.lastname: Kitney
mesh_terms: D019091:Critical Pathways; D006761:Hospitals; D006801:Humans; D011787:Quality of Health Care; D013269:Stochastic Processes; D020521:Stroke / Q000191:economics / Q000401:mortality