Reconfigurable modelling with deadlock avoidance for the clinical pathway based on MCPN-CS

Du, Gang; Jiang, Zeyong; Diao, Xiaodi; Yang, Yongyi

doi:10.2507/ijsimm09(2)1.140

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…Recently, a simulation study [9] was performed to determine optimal number of planned appointments in different operational requirements and consult room configurations at specialist outpatient clinics. Alluding to a similar problem which aimed to improve patient care, a Modular Coloured Petri Net with changeable structure (MCPN-CS) workflow modelling method [10] was developed to better clinical pathway in disease treatment with deadlock avoidance feature.…”

Section: Background and Related Workmentioning

confidence: 99%

Scientific evaluation of polyclinic operating strategies with discrete-event simulation

Oh¹,

Chow²

2011

Int. j. simul. model.

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A subsidized primary care clinic in Singapore wanted to evaluate the impact of different patient appointment apportionment and patient-doctor allocation strategies on the cycle time that their patients need to spend during their clinic visits. To the best of the authors' knowledge, there is limited literature on such studies. This paper aims to fill this research gap via scientific evaluation of these operating strategies. Based on simulation model projections, two key inferences are made. First, appointment system is a good patient classification strategy that reduces median and 95 th percentile cycle times of appointment patients. But the magnitude of these reductions in median and 95 th percentile cycle times diminish as the proportion of appointment patients in a patient population increases. Second, exclusive allocation of walk-in patients seeking consultation for their non-chronic conditions to selected doctors is not effective relative to appointment systems in reducing overall median and 95 th percentile cycle times.

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Section: Background and Related Workmentioning

confidence: 99%

Scientific evaluation of polyclinic operating strategies with discrete-event simulation

Oh¹,

Chow²

2011

Int. j. simul. model.

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Variance Analysis and Handling of Clinical Pathway: An Overview of the State of Knowledge

Huang

Zhou

2020

IEEE Access

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Clinical pathway is a multi-disciplinary treatment plan and work mode, which is favorable for improving healthcare service quality and reducing medical costs. Most of references demonstrate that variance analysis and handling is the key to clinical pathway management. Thus, the clinical pathway variance has become the focus of scholars. This paper uses the text mining technique to present a literature review of 496 academic articles in the field of clinical pathway variance analysis and handling, which published between 1994 and 2018. Moreover, this paper conducts a bibliometric analysis to visualize the clinical pathway variance research. In variance analysis and handling, there are a lot of imprecise knowledge and fuzzy relations to be reasoned with knowledge of different domains. In this study, methods of clinical pathway variance analysis and handling are illustrated. In addition, this paper points out the limitations of each method. Based on the results, the future prospects of clinical pathway variance analysis and handling research is proposed.INDEX TERMS Clinical pathway, processing methods, text mining, variance. III. TEMPORAL, SPATIAL AND AUTHOR DISTRIBUTION OF CLINICAL VARIANCE RESEARCH A. TEMPORAL DISTRIBUTION

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Simulation Research on the Clinical Path of Non -Small Cell Lung Cancer Surgery Based on Time Petri Net

Da,

Haitao,

Jun

et al. 2024

Preprint

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Background Clinical pathways are increasingly adopted to control costs and enhance quality management, becoming a standardized approach in treatment. This study aims to develop a hospital-specific clinical pathway for non-small cell lung cancer surgery, based on national standards and actual treatment practices, and evaluate its service efficiency through simulation. Methods We analyzed 94 electronic medical records of non-small cell lung cancer surgeries conducted from May 2020 to November 2022. The need for a localized clinical pathway was assessed by statistically analyzing delays in recorded treatment processes. A time Petri Net model was subsequently developed for this pathway, and simulations were conducted to determine the impact on hospital length of stay post-implementation. Results The existing treatment processes at the hospital generally conformed to national clinical pathway standards. The analysis of the Petri Net model confirmed its validity and effectiveness. Simulation results indicated that the average hospital stay is reduced to 8.20 days from a baseline of 7.76 days, achieving a total time reduction of approximately 10.28 hours, with reductions in individual diagnostic and treatment processes ranging from 0.15 to 5.04 hours. Conclusion The implementation of a tailored clinical pathway for non-small cell lung cancer surgery significantly improved service efficiency by aligning with national standards. This allows the hospital to better integrate and optimize medical resources, enhancing the overall quality of clinical pathway management.

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Reconfigurable modelling with deadlock avoidance for the clinical pathway based on MCPN-CS

Cited by 3 publications

References 18 publications

Scientific evaluation of polyclinic operating strategies with discrete-event simulation

Scientific evaluation of polyclinic operating strategies with discrete-event simulation

Variance Analysis and Handling of Clinical Pathway: An Overview of the State of Knowledge

Simulation Research on the Clinical Path of Non -Small Cell Lung Cancer Surgery Based on Time Petri Net

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