使用Python和Web应用程序改进开放式医疗服务交付模拟模型的可用性.
Thomas Monks1,2, Alison Harper1,2,3
1University of Exeter Medical School, University of Exeter, Exeter, England, UK.
NIHR open research
|October 26, 2023
概括
在医疗服务研究中使用自由和开源软件 (FOSS) 可能很困难. 这项研究建议使用Web应用程序,使离散事件模拟模型更容易被研究人员和决策者访问.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 计算健康科学 计算健康科学
- 开放科学是一个开放的科学.
背景情况:
- 开放科学旨在提高研究的可访问性.
- 卫生服务研究中的离散事件模拟模型通常作为自由开源软件 (FOSS) 代码共享,主要使用Python.
- 由于所需的专业技能,共享FOSS代码可能是一个障碍,阻碍了采用开放科学实践.
研究的目的:
- 提出和演示一种方法,以提高在卫生服务研究中的离散事件模拟模型的可访问性.
- 通过用户友好的网络应用程序,促进研究人员和国家卫生服务 (NHS) 决策者使用这些模型.
- 为开发Python中的网络应用程序准备模拟模型提供可重复的框架.
主要方法:
- 在Python中开发一种标准化的方法来构建离散事件模拟模型代码,使其与Web应用程序兼容.
- 使用精简图书馆为部署的Python模型创建交互式Web应用程序.
- 实施和演示使用simpy和ciw包的方法,并使用紧急护理呼叫中心模型.
- 为将模拟模型连接到精简的Web应用程序界面提供了一步一步的教程.
主要成果:
- 一种可通用的方法,用于构建基于Python的离散事件模拟模型,用于Web应用程序部署.
- 成功创建了针对医疗保健的精简网络应用程序.离散事件模拟模型.
- 在不同的Python模拟包 (simpy,ciw) 中证明该方法的适用性.
- 一个教程,使其他健康数据科学研究人员能够实施拟议的方法.
结论:
- 网络应用程序,特别是使用精简与Python,显著提高离散事件模拟模型在医疗服务研究中的可访问性.
- 拟议的代码结构方法降低了研究人员和NHS决策者利用复杂模拟模型的障碍.
- 这种方法支持在健康数据科学中更广泛地采用开放科学原则,通过使研究成果更容易使用和复制.
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