Barbaria Sabri, Mahjoubi Halima, Rahmouni Hanene Boussi
Laboratory of Biophysics and Medical Technologies, Higher Institute of Medical Technologies of Tunis (ISTMT), University of Tunis El Manar, Tunisia.
The Computer Science Research Centre, the University of the West of England, Bristol, UK.
Procedia Comput Sci. 2023;219:1436-1443. doi: 10.1016/j.procs.2023.01.433. Epub 2023 Mar 22.
In this paper, we are proposing a blockchain-based architectural model to ensure the integrity of healthcare-sensitive data in an AI-based medical research context. In our approach, we will use the HL7 FHIR standardized data structure to ensure the interoperability of our approach with the existing hospital information systems (HIS). Indeed, structuring the data coming from several heterogeneous sources would enhance its quality. In addition, a standardised data structure would help establish a more accurate security and data protection model throughout the process of data collection cleansing and processing. Hence, we designed our architecture to be interoperable with all FHIR-based HISs to add a trust layer to the current medical research process. In this paper we are to achieve our goal, we will combine continua healthcare IoT architecture and Hyperledger fabric architecture. Our trust layer model is composed of four components: (1) an architecture that integrates with the HL7 FHIR data exchange framework, which extends an open protocol that supports efficient standards-based healthcare data exchange (2) a blockchain layer to support access control and auditing of FHIR health records that are stored in the data exchange network databases; (3) a distributed architecture consisting of multiple trusted nodes ensure privacy protection for health data; and (4) an application programming interface (API) will be available for use by the network.
在本文中，我们提出了一种基于区块链的架构模型，以确保在基于人工智能的医学研究环境中医疗敏感数据的完整性。在我们的方法中，我们将使用HL7 FHIR标准化数据结构，以确保我们的方法与现有医院信息系统（HIS）的互操作性。实际上，对来自多个异构源的数据进行结构化将提高其质量。此外，标准化的数据结构将有助于在数据收集清理和处理的整个过程中建立更准确的安全和数据保护模型。因此，我们将架构设计为可与所有基于FHIR的医院信息系统互操作，以便为当前的医学研究过程添加一个信任层。在本文中，为了实现我们的目标，我们将结合Continuum医疗物联网架构和Hyperledger Fabric架构。我们的信任层模型由四个组件组成：（1）一个与HL7 FHIR数据交换框架集成的架构，该框架扩展了一个支持基于标准的高效医疗数据交换的开放协议；（2）一个区块链层，用于支持对存储在数据交换网络数据库中的FHIR健康记录的访问控制和审计；（3）一个由多个可信节点组成的分布式架构，以确保对健康数据的隐私保护；以及（4）一个应用程序编程接口（API）可供网络使用。
