Supplement for Cloud Computing: Alcohol Use Disorder Treatment Simulation

云计算补充：酒精使用障碍治疗模拟

• 批准号: 10827563
• 负责人: Katherine J. Karriker-Jaffe
• 金额: $ 22.49万
• 依托单位: RESEARCH TRIANGLE INSTITUTE
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-04-10 至 2027-02-28
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10827563
• 关键词: Address; Administrative Supplement; Alcohol consumption; Alcohols; Calibration; California; Caring; Cloud Computing; Cloud Service; Communication; Communities; Computer software; Continuity of Patient Care; Cost Analysis; Cost Measures; County; Data; Data Science; Development; Disparity; Environment; Equity; Ethnic Origin; Funding; Gender; Geographic Locations; Geography; Goals; Health Services; Health Services Accessibility; High Performance Computing; Home; Individual; Infrastructure; Institution; Intervention; Modeling; National Institute on Alcohol Abuse and Alcoholism; Outcome; Patients; Performance; Persons; Phase; Policies; Population; Process; Production; Race; Recovery; Research; Research Personnel; Research Project Grants; Research Support; Resources; Running; Rural; Services; Severities; Space Models; Statistical Computing; Statistical Models; Subgroup; Technology; Testing; Texas; Time; United States; United States National Institutes of Health; access disparities; alcohol abuse therapy; alcohol availability; alcohol related problem; alcohol use disorder; cloud based; cluster computing; cost; cost effective; disparity reduction; evidence base; health equity promotion; health service use; improved; interest; laptop; long term recovery; medical specialties; models and simulation; outcome disparities; parent grant; prevent; screening and brief intervention; screening services; service intervention; simulation; socioeconomics; supercomputer; treatment disparity; treatment services

PROJECT SUMMARY/ABSTRACT Marked disparities are found for alcohol use, alcohol-related problems, and utilization of alcohol health services across demographic subgroups in the United States. Advances in statistical modeling and computing capabilities have enabled the development of sophisticated simulation models helpful for assessing potential impacts of policies and health services interventions on alcohol-related outcomes and on disparities in those outcomes. By projecting effects of different interventions across population subgroups over time, simulation modeling can help identify and prioritize specific types of alcohol health services interventions that may best reduce disparities and promote equity in long-term recovery from alcohol use disorder (AUD). The ongoing parent grant, Alcohol Use Disorder Treatment Simulation: Modeling Treatment Impacts on Alcohol-related Disparities in the United States (R01AA029812-02), addresses the National Institute on Alcohol Abuse and Alcoholism’s goal to understand where and how to increase access to alcohol health services across the continuum of care to promote health equity. Our simulation model is particularly well-suited for enhanced computing using cloud infrastructure. We apply the model to a geographically explicit simulated population representing the populations of California and Texas, and we make long-term projections for AUD severity and recovery for key population subgroups over time. With supplemental funding, we would enhance the existing project by using new cloud technologies. This would facilitate more realistic simulation conditions and enable new discoveries by improving the computational efficiencies of the research. The Specific Aims for the Supplement are to (1) build proof-of-concept examples and evaluate cloud service options capable of providing scalable cluster computing for Message Passing Interface–based simulation modeling software; (2) compare simulation results for a computationally constrained laptop-run model with results from running the same model on a scalable cloud computing cluster; and (3) evaluate the costs for setting up and running the simulation model (including data uploads, run time, and data downloads) for execution on the cloud solutions compared to running the model on a high-performance laptop. Receipt of supplemental funding will permit the creation of a more realistic simulation to enhance the results through the production of better estimates of health services utilization and impact. Comparisons of cloud services with non-cloud options will provide additional information to the National Institutes of Health concerning costs associated with these specific use cases and strategies for institutions without access to traditional supercomputers to access high-performance computing through the cloud.

项目概要/摘要 酒精使用、酒精相关问题以及酒精健康利用方面存在显着差异 美国人口统计亚组的服务进展。 计算能力使得复杂的仿真模型的开发成为可能，有助于 评估政策和卫生服务干预措施对酒精相关结果和对酒精相关结果的潜在影响 通过预测不同干预措施对不同人群的影响，得出这些结果的差异。 随着时间的推移，模​​拟建模可以帮助识别特定类型的酒精健康服务并确定其优先顺序 可以最好地减少差异并促进酗酒长期康复过程中公平性的干预措施 正在进行的家长资助，酒精使用障碍治疗模拟：建模 治疗对美国酒精相关差异的影响 (R01AA029812-02)，地址 国家酒精滥用和酒精中毒研究所的目标是了解在哪里以及如何增加 在整个护理过程中获得酒精健康服务，以促进健康公平 我们的模拟。 模型特别适合使用云基础设施的增强计算。 在地理上明确模拟了代表加利福尼亚州和德克萨斯州人口的人口，我们 随着时间的推移，对关键人群亚组的 AUD 严重程度和恢复情况进行长期预测。 补充资金，我们将通过使用新的云技术来增强现有项目。 通过改进计算能力，促进更真实的模拟条件并实现新发现 该补充材料的具体目标是 (1) 建立概念验证。 示例并评估能够为消息提供可扩展集群计算的云服务选项 通过基于接口的仿真建模软件；（2）比较计算结果 受限笔记本电脑运行模型，其结果来自在可扩展云计算上运行相同模型 集群；(3) 评估建立和运行仿真模型的成本（包括数据上传、 与在云解决方案上运行模型相比，在云解决方案上执行的时间和数据下载 收到补充资金将允许创建更现实的笔记本电脑。 模拟通过更好地估计卫生服务利用率来增强结果 云服务与非云选项的比较将为用户提供更多信息。 美国国立卫生研究院关注与这些特定用例和策略相关的成本 无法使用传统超级计算机的机构可以通过 云。