CRII:SCH:RUI: A Digital Identity System for Accelerating Medical Communications within Rare Disease Communities
CRII:SCH:RUI:用于加速罕见疾病社区内医疗通信的数字身份系统
基本信息
- 批准号:2153232
- 负责人:
- 金额:$ 16.05万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-09-01 至 2023-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Patient identity matching is a process that locates a patient in a healthcare database using a unique set of personal information. Rare diseases are conditions that affect fewer than 200,000 people in the US, and due to the small patient populations, they receive significantly less scientific and commercial attention compared to more commonly studied medical conditions. As a result, highly motivated and active patient communities often form around rare diseases, creating and maintaining patient registries for patients to share data and knowledge about their conditions to promote disease discovery. However, many registries have been one-off solutions that identify patients in disparate ways, creating a major barrier to linking patients across multiple highly centralized registries. The objective of this project is to address this need by developing an interoperable and efficient identity system to support necessary communications around rare diseases, while simultaneously providing interdisciplinary research experience to computer science undergraduate students.This project will design, deploy, and evaluate a digital identity system driven by interoperability across data management systems. The goal of the proposed approach is to accelerate the patient identification process by creating unique representations of patient identities and a supporting platform that facilitate the management and exchanges of those identities to ensure interoperability. The technical aims of the project are divided into three threads. The first thread creates a standardized digital identity model for rare diseases, which aims to uniquely represent patients without directly exposing sensitive, ambiguous patient identifying information to significantly reduce patient mismatching rate. The second thread develops a Rare Disease Identity System (RDIS) infrastructure, which will enable uniform and interoperable representations and transactions of patient identity to accelerate clinical communications. The third thread focuses on integrated evaluation of RDIS with the use of the digital identity model created in the first thread. In particular, the overall effectiveness of the system will be evaluated based on the ease of identity collection and verification process, the scalability of the system in terms of the overall and average throughput of transacted synthetic patient profiles, and the average turnaround time it takes to identify a subset of patient profiles.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.
患者身份匹配是一个使用一组独特的个人信息在医疗保健数据库中找到患者的过程。罕见的疾病是在美国影响少于200,000人的疾病,并且由于患者人数少,与更常见的医疗状况相比,他们受到的科学和商业关注明显降低。结果,高度动机和活跃的患者社区通常围绕罕见疾病形成,创建和维护患者的患者注册表,以共享有关其疾病的数据和知识,以促进疾病发现。但是,许多登记处一直是以不同方式识别患者的一次性解决方案,从而为在多个高度集中式注册表中连接患者造成了主要障碍。该项目的目的是通过开发可互操作和高效的身份系统来满足这一需求,以支持围绕罕见疾病的必要通信,同时为计算机科学本科生提供跨学科的研究经验。该项目将设计,部署和评估由跨数据管理系统互操作性驱动的数字身份系统。拟议方法的目的是通过创建患者身份的独特表示以及促进这些身份的管理和交流以确保互操作性的互助平台来加速患者识别过程。该项目的技术目标分为三个线程。第一个线程为稀有疾病创建了标准化的数字身份模型,该模型旨在唯一代表患者而不直接暴露敏感的,模棱两可的患者识别信息以显着降低患者的不匹配率。第二个线程开发出一种罕见的疾病认同系统(RDIS)基础设施,该基础设施将使患者身份的统一和可互操作表示以及交易以加速临床通信。第三个线程专注于对RDI的集成评估,并使用第一个线程中创建的数字身份模型。特别是,将根据身份收集和验证过程的易于性,系统的可伸缩性来评估系统的总体有效性,从而根据交易合成患者概况的总体和平均吞吐量以及确定患者奖励的子集所需的平均周转时间来评估NSF的法定任务和审查的次数通过评估范围,这是通过评估范围的范围。
项目成果
期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Design pattern recommendations for building decentralized healthcare applications
构建去中心化医疗保健应用程序的设计模式建议
- DOI:10.3389/fbloc.2023.1006058
- 发表时间:2023
- 期刊:
- 影响因子:3.1
- 作者:Zhang, Peng;Kelley, Adair;Schmidt, Douglas C.;White, Jules
- 通讯作者:White, Jules
Using Decentralized Identifiers and InterPlanetary File System to Create a Recoverable Rare Disease Patient Identity Framework
- DOI:10.1145/3608298.3608325
- 发表时间:2023-05
- 期刊:
- 影响因子:0
- 作者:Sean Mchale;Lincoln Murr;Peng Zhang
- 通讯作者:Sean Mchale;Lincoln Murr;Peng Zhang
Self-Sovereign Identity in Semi-Permissioned Blockchain Networks Leveraging Ethereum and Hyperledger Fabric
利用以太坊和 Hyperledger Fabric 的半许可区块链网络中的自我主权身份
- DOI:10.1109/icdh60066.2023.00053
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Sahi, Niranjan;Liang, Anda;Van Devanter, Wyn;Oikonomou, Konstantinos;Zhang, Peng
- 通讯作者:Zhang, Peng
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Peng Zhang其他文献
k Innate Responses by Selectively Inhibiting I Motifs Negatively Regulates TLR-Triggered Rich - Protein Tyrosine Phosphatase with
k 通过选择性抑制 I 基序负调节 TLR 触发的丰富蛋白酪氨酸磷酸酶的先天反应
- DOI:
- 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
Peng Zhang;Xingguang Liu;Yingke Li;Xuhui Zhu;Zhenzhen Zhan;Jun Meng;Nan Li;Xuetao Cao - 通讯作者:
Xuetao Cao
Finite Sample Error Bound for Parzen Windows
Parzen Windows 的有限样本误差界限
- DOI:
- 发表时间:
2005 - 期刊:
- 影响因子:0
- 作者:
Peng Zhang;Jing Peng;N. Riedel - 通讯作者:
N. Riedel
Evaluating CryptoNote-Style Blockchains
评估 CryptoNote 风格的区块链
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Runchao Han;Jiangshan Yu;Joseph K. Liu;Peng Zhang - 通讯作者:
Peng Zhang
The expression of selenium-binding protein 1 is decreased in uterine leiomyoma
子宫肌瘤中硒结合蛋白1的表达降低
- DOI:
- 发表时间:
2010 - 期刊:
- 影响因子:2.6
- 作者:
Peng Zhang;Cunxian Zhang;Xudong Wang;Fang Liu;C. Sung;M. Quddus;W. Lawrence - 通讯作者:
W. Lawrence
Abstract 3548: Loss of heterozygosity (LOH) as a candidate biomarker of PARP inhibitor sensitivity in Chinese solid tumor patients
摘要 3548:杂合性缺失(LOH)作为中国实体瘤患者 PARP 抑制剂敏感性的候选生物标志物
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Jinwei Hu;Shuirong Zhang;Kai You;Lijuan Chen;Peng Zhang;Junping Shi;M. Yao;Mo Wang;Kai Wang - 通讯作者:
Kai Wang
Peng Zhang的其他文献
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{{ truncateString('Peng Zhang', 18)}}的其他基金
CAREER: Fine-Grained Complexity and Algorithms for Structured Linear Equations and Linear Programs
职业:结构化线性方程和线性程序的细粒度复杂性和算法
- 批准号:
2238682 - 财政年份:2023
- 资助金额:
$ 16.05万 - 项目类别:
Continuing Grant
NSF Convergence Accelerator–Track D: AI-Grid: AI-Enabled, Provably Resilient, Programmable Networked Microgrids
NSF 融合加速器 - 轨道 D:人工智能网格:人工智能支持、可证明弹性、可编程网络微电网
- 批准号:
2134840 - 财政年份:2021
- 资助金额:
$ 16.05万 - 项目类别:
Cooperative Agreement
CRII:SCH:RUI: A Digital Identity System for Accelerating Medical Communications within Rare Disease Communities
CRII:SCH:RUI:用于加速罕见疾病社区内医疗通信的数字身份系统
- 批准号:
2105145 - 财政年份:2021
- 资助金额:
$ 16.05万 - 项目类别:
Standard Grant
NSF Convergence Accelerator-Track D: AI-Enabled Provably Resilient Networked Microgrids
NSF 融合加速器 - 轨道 D:人工智能支持的可证明弹性的网络微电网
- 批准号:
2040599 - 财政年份:2020
- 资助金额:
$ 16.05万 - 项目类别:
Standard Grant
PFI-TT: Development of a visual sensor to non-invasively monitor biodegradable magnesium alloy implants for biomedical applications
PFI-TT:开发视觉传感器,以非侵入性方式监测生物医学应用中的可生物降解镁合金植入物
- 批准号:
2016475 - 财政年份:2020
- 资助金额:
$ 16.05万 - 项目类别:
Standard Grant
SBIR Phase I: A Cloud-based, AI-enabled ECG Analysis Platform for More Efficient Arrhythmia Detection
SBIR 第一阶段:基于云、支持人工智能的心电图分析平台,可更有效地检测心律失常
- 批准号:
2025951 - 财政年份:2020
- 资助金额:
$ 16.05万 - 项目类别:
Standard Grant
Enabling Reliable Networked Microgrids for Distribution Grid Resiliency
实现可靠的联网微电网,提高配电网的弹性
- 批准号:
2002897 - 财政年份:2019
- 资助金额:
$ 16.05万 - 项目类别:
Standard Grant
US Ignite: Focus Area 1: SD2N: Software-Defined Urban Distribution Network for Smart Cities
US Ignite:重点领域 1:SD2N:智慧城市的软件定义城市配电网络
- 批准号:
2006828 - 财政年份:2019
- 资助金额:
$ 16.05万 - 项目类别:
Standard Grant
SCC: Empowering Smart and Connecticut Communities through Programmable Community Microgrids
SCC:通过可编程社区微电网增强智能和康涅狄格社区的能力
- 批准号:
2018492 - 财政年份:2019
- 资助金额:
$ 16.05万 - 项目类别:
Standard Grant
SCC: Empowering Smart and Connecticut Communities through Programmable Community Microgrids
SCC:通过可编程社区微电网增强智能和康涅狄格社区的能力
- 批准号:
1831811 - 财政年份:2018
- 资助金额:
$ 16.05万 - 项目类别:
Standard Grant
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