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

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
批准号:
2335417
负责人:
Rahul Simha
金额:
$5.0万
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
项目状态:
已结题
起止时间:
2023-08-01 至 2024-08-31

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中文摘要
翻译
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。
英文摘要
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.
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Improving Teaching and Learning in Computer Science Using Structured Post-Exam Interviews and Remediation
  • 批准号:
    2141705
  • 项目类别:
    Standard Grant
  • 资助金额:
    $15.0万
  • 财政年份:
    2022
  • 负责人:
    Rahul Simha
  • 依托单位:
Collaborative Research: A Data-Driven Employer-Academia Partnership for Continual Computing Curricular Change
  • 批准号:
    2110815
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $17.24万
  • 财政年份:
    2021
  • 负责人:
    Rahul Simha
  • 依托单位:
Conference to Explore Mechanisms to Gather Annual Feedback from Computing Professionals for Continuous Improvement of Computer Science Curricula
  • 批准号:
    1933975
  • 项目类别:
    Standard Grant
  • 资助金额:
    $8.0万
  • 财政年份:
    2020
  • 负责人:
    Rahul Simha
  • 依托单位:
EXTREEMS-QED: GW Mathematics and Statistics Training, Education, & Research (MASTER)
  • 批准号:
    1406984
  • 项目类别:
    Standard Grant
  • 资助金额:
    $60.0万
  • 财政年份:
    2014
  • 负责人:
    Rahul Simha
  • 依托单位:
国内基金
海外基金
Intelligent Patent Analysis for Optimized Technology Stack Selection:Blockchain BusinessRegistry Case Demonstration
  • 批准号:
    --
  • 项目类别:
    外国学者研究基金项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    USHARANI HAREESH GOVINDARA JAN
  • 依托单位: