SBIR Phase II: A Platform for Health Care Data Integration Using Blockchain and Artificial Intelligence

SBIR 第二阶段：使用区块链和人工智能的医疗保健数据集成平台

• 批准号: 2304102
• 负责人: Irene Woerner
• 金额: $ 99.97万
• 依托单位: EMTRUTH, INC.
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2304102&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Platform; Health

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project is to provide the personal healthcare data needed to improve the patient’s outcome and experience]. Because healthcare data is protected, a secure way of sharing the right data, with the right people, at the right time is needed. Currently, attempts to harmonize data from many systems, and in many formats and sizes is very difficult and expensive and so such efforts are lacking. Advancing blockchain and artificial intelligence technologies for distributed data management and enabling radical data interoperability benefits patients and addresses a priority need in a $3.93 trillion healthcare market.This team develops the technology for a platform that secures data of any type from anywhere in immutable blockchains while respective data owners retain ownership and control to securely share just-needed data following their data governance criteria. Data is transformed and normalized into more granular blockchains and that can be combined for individual or aggregated population health modeling. Natural language processing is combined with a curated thesaurus to automatically create metadata tags for encrypted blockchains, facilitating data searches, discovery, and advanced analytics. Because healthcare data is complex and diverse, this project demonstrates, through priority use cases, how data needs to become interoperable. Such use cases include 1) sharing patient clinical data for participation in clinical research with consent; 2) creating a more complete patient healthcare record that spans many services or treatments; 3) bridging an operational gap between clinical data and claims; and 4) collaborating among research organizations in severe disease treatment. Additional technologies include instantiating a "datamart on demand" from blockchains for analytics, machine learning, and automating sharing of data, via smart contracts, capturing criteria, and like consent.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.

该小企业创新研究 (SBIR) 第二阶段项目的更广泛影响/商业潜力是提供改善患者治疗结果和体验所需的个人医疗保健数据]因为医疗保健数据受到保护，这是一种共享正确数据的安全方式，目前，尝试协调来自许多系统、多种格式和规模的数据非常困难且昂贵，因此缺乏推进分布式数据管理的区块链和人工智能技术。并实现根本性的数据互操作性使患者受益，并解决价值 3.93 万亿美元的医疗保健市场的优先需求。该团队开发了一个平台技术，该平台可保护不可变区块链中任何类型的数据，同时各自的数据所有者保留所有权和控制权，以安全地共享其所需的刚需数据数据治理标准。数据被转换并标准化为更细粒度的区块链，并且可以将其组合用于个人或聚合的人口健康建模。自然语言处理与精选的同义词库相结合，自动为加密的区块链创建元数据标签，从而促进。由于医疗保健数据复杂且多样，因此该项目通过优先用例展示了数据如何实现互操作，这些用例包括 1) 共享患者临床数据以在同意的情况下参与临床研究。 2）创建涵盖多种服务或治疗的更完整的患者医疗记录；3）弥合临床数据和索赔之间的操作差距；4）研究组织之间在严重疾病治疗方面的合作，包括实例化“按需数据集市”。 ” 来自区块链通过智能合约、捕获标准和类似同意，用于分析、机器学习和自动共享数据。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点和更广泛的影响审查标准进行评估，被认为值得支持。