Analysis and Evaluation on the Sharing Security of Medical Big Data based on Analytic Hierarchy Process
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DOI: 10.25236/iccse.18.022
Corresponding Author
Meijing Shan
Abstract
Opening and sharing of medical big data can provide patients, medical technicians and medical researchers the required information, as well as new medical and medical equipment research and development staff. In this study, analytic hierarchy process is used to evaluate the security of medical large data sharing. Medical big data involves the patient's privacy and other sensitive information, so that its security in information sharing constraints more than general large data. According to method Delphi, the medical big data security sharing indexes are selected. Focusing on these indexes, the hierarchy evaluation model of index is established by using AHP method, and the weight of each index and the influence to each other are determined. Experiments showed that the system can evaluate the sharing security of medical big data effectively. This study proposed a evaluation method based on the sharing of medical large data security, which provides a new technology platform and solution for the information management of the hospital.
Keywords
Medical Big Data, Analytic Hierarchy Process, Secure Sharing