I-Corps: Blockchain-powered hybrid platform for seamless and interoperable medical image sharing

I-Corps:区块链驱动的混合平台,用于无缝和可互操作的医疗图像共享

基本信息

  • 批准号:
    2335417
  • 负责人:
  • 金额:
    $ 5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-08-01 至 2024-08-31
  • 项目状态:
    已结题

项目摘要

The broader impact/commercial potential of this I-Corps project is the development of a medical image sharing platform empowered by blockchain. Healthcare institutions, including hospitals, clinics, and medical imaging centers, often encounter difficulties in sharing medical images across different systems and facilities. Further, most healthcare systems face concerns related to data security and patient privacy. Consequently, many organizations resort to antiquated CD-based methods for medical image sharing, incurring high costs, inefficiencies, and security vulnerabilities. The proposed platform enables standardized and secure sharing of medical images, eliminating the need for physical media for medical image sharing. The goal for the proposed technology is to facilitate faster, secure, and interoperable medical image sharing. By streamlining medical image sharing, healthcare professionals may collaborate more effectively, leading to improved patient care and outcomes. In addition, rapid and secure access to medical images across different healthcare settings may expedite diagnoses, enable timely treatment decisions, and reduce medical errors. This I-Corps project is based on the development of a blockchain-powered medical image storage and sharing platform. The platform's architecture includes components such as smart contracts, encryption mechanisms, and decentralized storage systems, which collectively enable seamless and trustworthy medical image sharing. The use of smart contracts provides a reliable framework for access control and data sharing permissions. The encryption mechanisms safeguard sensitive patient information during transmission and storage, bolstering data security and privacy. Additionally, the utilization of decentralized storage systems ensures redundant and distributed data storage, mitigating the risk of data loss, manipulation, or security threats. The research underlying this project involves leveraging blockchain's inherent properties of decentralization, immutability, and transparency to establish a secure and interoperable infrastructure for medical image exchange. By harnessing the potential of distributed ledger technology, the proposed platform addresses the existing challenges of fragmented systems, limited interoperability, and data silos in medical image sharing. Blockchain technology addresses critical challenges in medical image sharing, paving the way for enhanced collaboration, improved patient care, and increased efficiency in healthcare.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.
这个i-Corps项目更广泛的影响/商业潜力是开发一个由区块链赋能的医学图像共享平台。包括医院、诊所和医学成像中心在内的医疗机构在跨不同系统和设施共享医学图像时经常遇到困难。此外,大多数医疗系统都面临着与数据安全和患者隐私相关的担忧。因此,许多组织求助于过时的基于CD的医学图像共享方法,导致高成本、低效率和安全漏洞。拟议的平台能够实现标准化和安全的医学图像共享,消除了对医学图像共享的物理介质的需求。拟议技术的目标是促进更快、安全和可互操作的医学图像共享。通过简化医学图像共享,医疗保健专业人员可以更有效地协作,从而改善患者护理和结果。此外,快速、安全地访问不同医疗保健环境中的医疗图像可能会加快诊断速度、做出及时的治疗决策,并减少医疗差错。这个i-Corps项目是基于区块链驱动的医学图像存储和共享平台的开发。该平台的架构包括智能合同、加密机制和分散存储系统等组件,这些组件共同实现了无缝和可信的医学图像共享。智能合同的使用为访问控制和数据共享权限提供了可靠的框架。加密机制在传输和存储过程中保护敏感的患者信息,加强数据安全和隐私。此外,分散存储系统的利用确保了冗余和分布式数据存储,从而降低了数据丢失、操作或安全威胁的风险。该项目的基础研究涉及利用区块链的去中心化、不可变性和透明度的固有属性来建立安全和可互操作的医学图像交换基础设施。通过利用分布式分类账技术的潜力,拟议的平台解决了医学图像共享中系统分散、互操作性有限和数据孤岛的现有挑战。区块链技术解决了医学图像共享方面的关键挑战,为加强协作、改善患者护理和提高医疗效率铺平了道路。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

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Rahul Simha其他文献

Undergraduate Computer Science Curricula
本科计算机科学课程
  • DOI:
    10.1145/3624729
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    22.7
  • 作者:
    Rahul Simha;Amruth N. Kumar;Rajendra K. Raj
  • 通讯作者:
    Rajendra K. Raj
Using biologically hierarchical modular architecture for explainable, tunable, generalizable, spatial AI
使用生物分层模块化架构实现可解释、可调节、可泛化的空间人工智能
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Nelson Jaimes;C. Zeng;Rahul Simha
  • 通讯作者:
    Rahul Simha
Computer Science Curricula 2023
2023 年计算机科学课程
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Amruth N. Kumar;Rajendra K. Raj;S. Aly;Monica D. Anderson;Brett A. Becker;Richard L. Blumenthal;Eric Eaton;Susan L. Epstein;Michael Goldweber;Pankaj Jalote;Douglas Lea;Michael Oudshoorn;Marcelo Pias;Susan Reiser;Christian Servin;Rahul Simha;Titus Winters;Qiao Xiang
  • 通讯作者:
    Qiao Xiang
Simulated N-Body: New Particle Physics-Based Heuristics for a Euclidean Location-Allocation Problem
  • DOI:
    10.1023/a:1026561511574
  • 发表时间:
    2001-01-01
  • 期刊:
  • 影响因子:
    1.400
  • 作者:
    Rahul Simha;Weidong Cai;Valentin Spitkovsky
  • 通讯作者:
    Valentin Spitkovsky

Rahul Simha的其他文献

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{{ truncateString('Rahul Simha', 18)}}的其他基金

Improving Teaching and Learning in Computer Science Using Structured Post-Exam Interviews and Remediation
利用结构化考后访谈和补救措施改善计算机科学的教学
  • 批准号:
    2141705
  • 财政年份:
    2022
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
Collaborative Research: A Data-Driven Employer-Academia Partnership for Continual Computing Curricular Change
协作研究:数据驱动的雇主-学术界合作伙伴关系,以实现持续的计算课程变革
  • 批准号:
    2110815
  • 财政年份:
    2021
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant
Conference to Explore Mechanisms to Gather Annual Feedback from Computing Professionals for Continuous Improvement of Computer Science Curricula
探索收集计算机专业人员年度反馈以不断改进计算机科学课程的机制的会议
  • 批准号:
    1933975
  • 财政年份:
    2020
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
EXTREEMS-QED: GW Mathematics and Statistics Training, Education, & Research (MASTER)
EXTREEMS-QED:GW 数学和统计培训、教育、
  • 批准号:
    1406984
  • 财政年份:
    2014
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
WIDER:Planning: GRASP: GW Reform and Advancement of STEM-education Practices
WIDER:规划:GRASP:GW 改革和 STEM 教育实践的进步
  • 批准号:
    1347516
  • 财政年份:
    2013
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
Collaborative Research: CT-M: Hardware Containers for Software Components
合作研究:CT-M:软件组件的硬件容器
  • 批准号:
    0830910
  • 财政年份:
    2009
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant
ITR: A Hardware/Compiler Co-Design Approach to Software Protection
ITR:一种硬件/编译器协同设计的软件保护方法
  • 批准号:
    0325207
  • 财政年份:
    2003
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant
MRI: Acquisition of Research Infrastructure for Distributed Sensor Applications in the Home of the Future
MRI:为未来家庭的分布式传感器应用购买研究基础设施
  • 批准号:
    0216137
  • 财政年份:
    2002
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
Electronic Commerce Coursework in Computer Science
计算机科学电子商务课程
  • 批准号:
    0088470
  • 财政年份:
    2001
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
Improving the Cost-Effectiveness of WDM Optical Networks
提高 WDM 光网络的成本效益
  • 批准号:
    0096277
  • 财政年份:
    2000
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant

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Intelligent Patent Analysis for Optimized Technology Stack Selection:Blockchain BusinessRegistry Case Demonstration
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