Stochastic Petri net model with random time of Vietnamese ischemic stroke patient treatment process

Simulation is a helpful preliminary step for implementing a patient workflow management system. Simulation is based on the process model (the clinical practice guideline) and the organization model (human and technological resources), permitting the detection of blockages in the care delivery organization and finding the optimal resource allocation. Our study uses stochastic Petri net (SPN) to illustrate part of the medical practice within a stroke unit. In particular, we modeled the medical activities following the guidelines for the ischemic stroke treatment adopted by the Thai Nguyen National Hospital Stroke Unit. Several parameters have been estimated using a database of about 100 ischemic stroke patients collected and eliciting knowledge from the neurologists. This is the first time we have applied SPN to model and analyze system performance for emergency stroke patients using the SPN model. We can apply it to any medical examination and treatment system if we need to survey the system’s capacity. Thereby detecting barriers or limitations of the system to provide solutions to overcome and improve the system’s efficiency.

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Publication Details

Journal
Italian Journal of Medicine
Published
2024-12-23
DOI
https://doi.org/10.4081/itjm.2024.1806
Citations
1
Primary Topic
Business Process Modeling and Analysis
Type
article
Field-Weighted Citation Impact
0.53

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article

Stochastic Petri net model with random time of Vietnamese ischemic stroke patient treatment process

Phạm Thị Thu Thúy, Ho Cam Tu, Nguyễn Tiến Dũng, Ho Khanh Lam et al.
1 citations
Italian Journal of Medicine
Business Process Modeling and Analysis
0.53
article

Stochastic Petri net model with random time of Vietnamese ischemic stroke patient treatment process

Phạm Thị Thu Thúy, Ho Cam Tu, Nguyễn Tiến Dũng, Ho Khanh Lam, Nguyen-Thi Phuong Quynh, Bui-Thi Thu Huong, Vu-Thi Hoai Thu, Lo Minh Trong, Nguyen Phuong Sinh
article en
1 citations

Abstract

Simulation is a helpful preliminary step for implementing a patient workflow management system. Simulation is based on the process model (the clinical practice guideline) and the organization model (human and technological resources), permitting the detection of blockages in the care delivery organization and finding the optimal resource allocation. Our study uses stochastic Petri net (SPN) to illustrate part of the medical practice within a stroke unit. In particular, we modeled the medical activities following the guidelines for the ischemic stroke treatment adopted by the Thai Nguyen National Hospital Stroke Unit. Several parameters have been estimated using a database of about 100 ischemic stroke patients collected and eliciting knowledge from the neurologists. This is the first time we have applied SPN to model and analyze system performance for emergency stroke patients using the SPN model. We can apply it to any medical examination and treatment system if we need to survey the system’s capacity. Thereby detecting barriers or limitations of the system to provide solutions to overcome and improve the system’s efficiency.

Italian Journal of MedicineVol. 18(4)
Hung Yen University of Technology and Education (VN), Hanoi Medical University (VN), Thai Nguyen National General Hospital (VN), Thai Nguyen University (VN), National Hospital for Neurology and Neurosurgery (GB), Institute of Virology of the Slovak Academy of Sciences (SK), Thai Nguyen University of Medicine and Pharmacy, University College London (GB), Technical University of Munich (DE)
Bộ Giáo dục và Ðào tạo
Industry, innovation and infrastructure
Openalex Percentile: Top 23%
Business Process Modeling and Analysis
0.53
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