Federated, secure trust networks for distributed healthcare IT services

被引:5
|
作者
Weaver, AC [1 ]
Dwyer, SJ [1 ]
Snyder, AM [1 ]
Van Dyke, J [1 ]
Hu, J [1 ]
Chen, XH [1 ]
Mulholland, T [1 ]
Marshall, A [1 ]
机构
[1] Univ Virginia, Dept Comp Sci, Charlottesville, VA 22903 USA
关键词
D O I
10.1109/INDIN.2003.1300264
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Recent US regulations mandate the privacy and security of healthcare data at a level never previously contemplated Our research group is developing a prototype healthcare IT system and medical data portal based upon a web services approach. An authentication web service manages trust levels, issues authorization tickets, and uses biometric devices to establish identity; an authorization web service determines what data may be accessed, in what way, and by whom. Hospital administrators set access privileges for recursively-defined groups, subgroups, and individuals. All patient records and medical images are protected using AES encryption with 256-bit keys. Off-network entities such as pharmacies, insurance companies, and other medical service providers participate through a federated trust-sharing arrangement. Electronic prescriptions are transmitted securely to participating pharmacies and pick-up notifications are provided to the patient using the preferred notification method (email, alerts to a PDA, automated telephone call) stored in the patient's profile.
引用
收藏
页码:162 / 169
页数:8
相关论文
共 50 条
  • [1] Distributed and Secure Federated Learning for Wireless Computing Power Networks
    Wang, Peng
    Sun, Wen
    Zhang, Haibin
    Ma, Wenqiang
    Zhang, Yan
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2023, 72 (07) : 9381 - 9393
  • [2] Secure federated machine learning for distributed spectrum sensing in communication networks
    Searle, Richard
    Gururaj, Prabhanjan
    Gaikwad, Shreyas
    Kannur, Kiran
    [J]. ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR MULTI-DOMAIN OPERATIONS APPLICATIONS V, 2023, 12538
  • [3] Secure Route Selection Based on Trust Value for Distributed Networks
    Bai, Yuan
    Wu, Nanrong
    Sun, Bin
    [J]. 2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31, 2008, : 4591 - +
  • [4] A Trust Model for Services in Federated Platforms
    Javier Nieto, Francisco
    [J]. ENTERPRISE INTEROPERABILITY, 2011, 76 : 118 - 131
  • [5] Towards a Secure Trust Model for Vehicular Ad Hoc Networks Services
    Abumansoor, Osama
    Boukerche, Azzedine
    [J]. 2011 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE (GLOBECOM 2011), 2011,
  • [6] A framework for a secure federated patient healthcare system
    Sharman, R
    Challapalli, H
    Rao, RH
    Upadhyaya, S
    [J]. INTELLIGENCE AND SECURITY INFORMATICS, PROCEEDINGS, 2004, 3073 : 512 - 513
  • [7] Secure Federated Monitoring of Heterogeneous Networks
    Brennan, Rob
    Feeney, Kevin
    Song, Yuqian
    O'Sullivan, Declan
    [J]. IEEE COMMUNICATIONS MAGAZINE, 2013, 51 (11) : 63 - 71
  • [8] Federated management of distributed data and services
    Solte, D
    Stegmann, R
    [J]. COMPUTERS IN INDUSTRY, 2000, 43 (03) : 203 - 210
  • [9] Secure and Efficient Federated Learning Schemes for Healthcare Systems
    Song, Cheng
    Wang, Zhichao
    Peng, Weiping
    Yang, Nannan
    [J]. ELECTRONICS, 2024, 13 (13)
  • [10] Federated Dynamic Graph Neural Networks with Secure Aggregation for Video-based Distributed Surveillance
    Jiang, Meng
    Jung, Taeho
    Karl, Ryan
    Zhao, Tong
    [J]. ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2022, 13 (04)