ArticleInternational journal of environmental research and public health2020
Simulation and Improvement of Patients' Workflow in Heart Clinics during COVID-19 Pandemic Using Timed Coloured Petri Nets.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Process Improvement Approaches for Increasing the Response of Emergency Departments against the COVID-19 Pandemic: A Systematic Review.International journal of environmental research and public health · 2021Pooled it
- Using simulation modelling and systems science to help contain COVID-19: A systematic review.Systems research and behavioral science · 2022Article
- Global Challenges to Public Health Care Systems during the COVID-19 Pandemic: A Review of Pandemic Measures and Problems.Journal of personalized medicine · 2022Review
- Modelling Granular Process Flow Information to Reduce Bottlenecks in the Emergency Department.Healthcare (Basel, Switzerland) · 2022Article
- Blockchain technology for agricultural supply chains during the COVID-19 pandemic: Benefits and cleaner solutions.Journal of cleaner production · 2022Article
- Simulation of the COVID-19 patient flow and investigation of the future patient arrival using a time-series prediction model: a real-case study.Medical & biological engineering & computing · 2022Article
- Performability Evaluation of Load Balancing and Fail-over Strategies for Medical Information Systems with Edge/Fog Computing Using Stochastic Reward Nets.Sensors (Basel, Switzerland) · 2021Article
- Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods.Results in physics · 2021Article
- The Role and Views of Ophthalmologists During the COVID-19 Pandemic.Clinical ophthalmology (Auckland, N.Z.) · 2021Article
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Authors and funding
5 authors.
Funding
Abstract
The COVID-19 epidemic has spread across the world within months and creates multiple challenges for healthcare providers. Patients with cardiovascular disease represent a vulnerable population when suffering from COVID-19. Most hospitals have been facing difficulties in the treatment of COVID-19 patients, and there is a need to minimise patient flow time so that staff health is less endangered, and more patients can be treated. This article shows how to use simulation techniques to prepare hospitals for a virus outbreak. The initial simulation of the current processes of the heart clinic first identified the bottlenecks. It confirmed that the current workflow is not optimal for COVID-19 patients; therefore, to reduce waiting time, three optimisation scenarios are proposed. In the best situation, the discrete-event simulation of the second scenario led to a 62.3% reduction in patient waiting time. This is one of the few studies that show how hospitals can use workflow modelling using timed coloured Petri nets to manage healthcare systems in practice. This technique would be valuable in these challenging times as the health of staff, and other patients are at risk from the nosocomial transmission.
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Registered trials
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