I-Corps: Translation Potential of a Centralized Platform for Health Services Research

I-Corps：卫生服务研究集中平台的翻译潜力

• 批准号: 2409580
• 负责人: Ferhat Zengul
• 金额: $ 5万
• 依托单位: University of Alabama at Birmingham
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-03-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2409580&HistoricalAwards=false
• 关键词: Corps; Translation; Potential; Centralized; Platform

This I-Corps project develops a centralized data management platform for health services researchers and data-resource related decision-makers at academic organizations. The technology provides data management and analytics tools to researchers to expedite their work and allow more time to focus on networking, scientific discovery, and innovation. In addition, the technology provides advanced data cleansing and preprocessing, and may be used with data solutions for the emerging synthetic data industry and generative artificial intelligence (AI) technologies. The platform's streamlined processes are designed to generate evidence-based knowledge that may be leveraged by healthcare administrators, policymakers, and decision-makers to enhance healthcare services. In the future, the platform may not only serve as a research tool but also facilitate data-informed decision-making capabilities for users.This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. The solution is based on the development of software technology that addresses the challenges health services researchers face with data aggregation, cleansing, integration, and maintenance from public and private sources. The technology uses a centralized data warehouse, providing analysis-ready data sets and alleviating researchers from repetitive data tasks. In addition, it refines aspects of data management by improving data acquisition, extraction, preprocessing, and cleansing phases using a mix of traditional statistical tools and advanced artificial intelligence (AI) algorithms. As the platform integrates new data sources and methodologies, it's designed to expand, ensuring scalability. This approach may save researchers time and resources, enabling them to focus on the intellectual pursuits of their research.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该 I-Corps 项目为学术组织的卫生服务研究人员和数据资源相关决策者开发了一个集中数据管理平台。 该技术为研究人员提供数据管理和分析工具，以加快他们的工作，并让更多时间专注于网络、科学发现和创新。 此外，该技术提供先进的数据清理和预处理，可与新兴合成数据行业和生成人工智能（AI）技术的数据解决方案一起使用。 该平台的简化流程旨在生成基于证据的知识，医疗保健管理者、政策制定者和决策者可以利用这些知识来增强医疗保健服务。 未来，该平台不仅可以作为研究工具，还可以促进用户基于数据的决策能力。这个I-Corps项目利用体验式学习加上对行业生态系统的第一手调查来评估翻译该技术的潜力。该解决方案基于软件技术的开发，可解决卫生服务研究人员在公共和私人来源的数据聚合、清理、集成和维护方面面临的挑战。 该技术使用集中式数据仓库，提供可供分析的数据集，并将研究人员从重复的数据任务中解放出来。此外，它还结合使用传统统计工具和先进的人工智能 (AI) 算法，改进数据采集、提取、预处理和清理阶段，从而完善了数据管理的各个方面。 随着该平台集成新的数据源和方法，它的设计可以扩展，确保可扩展性。 这种方法可以节省研究人员的时间和资源，使他们能够专注于研究的智力追求。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。