Department of Computer Science and Engineering, Shaoxing University, Shaoxing, 312000, Zhejiang, China.
Zhejiang Economics Information Centre, Hangzhou, 310006, Zhejiang, China.
Comput Biol Med. 2022 Aug;147:105726. doi: 10.1016/j.compbiomed.2022.105726. Epub 2022 Jun 18.
From a technical perspective, for electronic medical records (EMR), this paper proposes an effective confidential management solution on the cloud, whose basic idea is to deploy a trusted local server between the untrusted cloud and each trusted client of a medical information management system, responsible for running an EMR cloud hierarchical storage model and an EMR cloud segmentation query model. (1) The EMR cloud hierarchical storage model is responsible for storing light EMR data items (such as patient basic information) on the local server, while encrypting heavy EMR data items (such as patient medical images) and storing them on the cloud, to ensure the confidentiality of electronic medical records on the cloud. (2) The EMR cloud segmentation query model performs EMR related query operations through the collaborative interaction between the local server and the cloud server, to ensure the accuracy and efficiency of each EMR query statement. Finally, both theoretical analysis and experimental evaluation demonstrate the effectiveness of the proposed solution for confidentiality management of electronic medical records on the cloud, i.e., which can ensure the confidentiality of electronic medical records on the untrusted cloud, without compromising the availability of an existing medical information management system.
从技术角度来看，针对电子病历（EMR），本文提出了一种在云环境下有效的机密管理解决方案，其基本思想是在不可信的云与医疗信息管理系统的每个可信客户端之间部署可信的本地服务器，负责运行 EMR 云分层存储模型和 EMR 云分段查询模型。（1）EMR 云分层存储模型负责在本地服务器上存储轻量级 EMR 数据项（如患者基本信息），同时对重型 EMR 数据项（如患者医疗图像）进行加密并存储在云端，以确保云电子病历的机密性。（2）EMR 云分段查询模型通过本地服务器和云服务器之间的协作交互执行 EMR 相关查询操作，以确保每个 EMR 查询语句的准确性和效率。最后，理论分析和实验评估都证明了所提出的云环境下电子病历机密管理解决方案的有效性，即可以确保在不可信的云中电子病历的机密性，同时又不影响现有医疗信息管理系统的可用性。
