一种基于模拟的方法,用于用于癌症治疗的医院的住院患者容量管理
Anup C Mokashi1, Ginger J Gardner2, Adam D Klotz2
1Memorial Sloan Kettering Cancer Center, 1275 York Avenue, 10065, New York, NY, USA. mokashia@mskcc.org.
Journal of medical systems
|June 28, 2025
概括
这项研究开发了一种模拟模型,用于纪念斯隆凯特林癌症中心 (MSKCC) 的住院患者流动. 该模型将住院患者的平均等待时间减少了30分钟,有助于医院容量管理.
科学领域:
- 医疗保健 运营 研究 研究 研究
- 生物医学信息学 生物医学信息学
- 医院管理系统 医院管理系统
背景情况:
- 住院患者流量和容量管理是医疗保健系统面临的关键挑战.
- 纪念斯隆凯特林癌症中心 (MSKCC) 试图优化患者流动和资源配置.
- 复杂的患者路径和多样化的护理需求需要复杂的分析工具.
研究的目的:
- 开发和应用一个离散事件模拟模型用于MSKCC的住院患者流量和容量管理.
- 评估特定资源分配策略对患者等待时间和病床利用率的影响.
- 为医院领导提供决策支持工具,以测试运营变化.
主要方法:
- 开发了一个离散事件模拟模型,捕捉患者流动模式,入院变异,专业护理需求和资源限制.
- 用概率分布来建模持续时间,并纳入关键患者和资源属性.
- 使用一组全面的输出指标验证了模型,并将资源整合场景与基线进行了比较.
主要成果:
- 模拟显示,在四个服务中,估计住院患者平均等待时间减少了30分钟以上.
- 这意味着等待时间每年减少约116天.
- 实施的变化对其他关键绩效指标 (如床位利用率) 有中性的影响.
结论:
- 开发的模拟模型可以作为一个有价值的决策支持工具,用于评估住院患者的战略和战术变化.
- 它提供了一个结构化的分析方法,可以在实际实施之前优化医院运营和资源配置.
- 该模型的灵活性允许测试各种场景,增强医院领导层有效管理容量的能力.
更多相关视频
08:25Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
Published on: April 11, 2018
15.4K
07:57Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
Published on: March 24, 2022
2.9K
相关概念视频
01:21Cancer Survival Analysis
458
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
458
01:20Actuarial Approach
140
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
140
00:59Hospitals-II
834
Hospitals provide inpatient and outpatient services. Inpatient services provide care to patients that stay in the hospital for an extended period, ranging from days to months. Examples of inpatient services include intensive care units, hospital wards, or surgeries. Outpatient services provide care to patients who come to a hospital for a diagnostic or treatment but do not stay overnight —for example, diagnostic tests, surgical procedures, or health education.
Nurses that work in...
Nurses that work in...
834
01:24Kaplan-Meier Approach
277
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
277