Paper
8 April 2024 Research on medical device traceability technology based on privacy computing
Song Tang, Jia Dong, Zhiqiang Wang
Author Affiliations +
Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 130901T (2024) https://doi.org/10.1117/12.3026282
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China
Abstract
In recent years, with the rapid development of information technology, the data of electronic medical devices has shown explosive growth. In response to the national call for the step-by-step implementation of the unique identification system for medical devices and the realization of traceability of medical devices. This paper proposes a collaborative tracing method for medical devices based on privacy computing and blockchain technology, to develop data models, architectures, functional modules, and interaction logics suitable for pushing the high-quality development of healthcare security reform, and improving the level of precision and targeting of device regulation, so as to lay the foundation for data sharing. Through the combination of privacy computing and blockchain technology, it realizes full data traceability of medical devices "from production to insured person", secure and trustworthy sharing of data among multiple subjects, safeguarding the privacy and data security of multiple business subjects, and further safeguarding the safety of the use of medical consumables. Strengthen the management of service behavior of medical insurance designated medical institutions, and promote the standardization of medical equipment production and management enterprises.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Song Tang, Jia Dong, and Zhiqiang Wang "Research on medical device traceability technology based on privacy computing", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 130901T (8 April 2024); https://doi.org/10.1117/12.3026282
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KEYWORDS
Medical devices

Data storage

Blockchain

Data privacy

Medical device development

Computer security

Data modeling

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