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Medical Sports Data Privacy Protection Method Based on Legal Risk Control

With the continuous development of computer and network technology, the amount of information storage in medical information system is more and more large, which is prone to the problem of privacy information leakage, resulting in irreparable harm. In order to solve the problem of privacy leakage in...

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Detalles Bibliográficos
Autores principales: Jia, Liqiang, Fan, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8128551/
https://www.ncbi.nlm.nih.gov/pubmed/34046154
http://dx.doi.org/10.1155/2021/6630429
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author Jia, Liqiang
Fan, Wei
author_facet Jia, Liqiang
Fan, Wei
author_sort Jia, Liqiang
collection PubMed
description With the continuous development of computer and network technology, the amount of information storage in medical information system is more and more large, which is prone to the problem of privacy information leakage, resulting in irreparable harm. In order to solve the problem of privacy leakage in the medical environment, a new privacy rating method is proposed according to the actual situation of the medical environment. The big data technology is used to effectively mine, analyze, integrate, and reuse medical data, and a new improved model is proposed. At the same time, the medical information system applying the improved model is designed according to the complex actual needs. The purpose of this paper is to correctly understand the positive role of medical sports big data (BD) research in the medical field and standardize the behavior of medical staff. On the one hand, it can improve the safety awareness of patients and enhance the standardization of medical treatment environment. This paper will analyze the meaning and research status of medical data from the perspective of legal risk control, focus on the status quo and existing problems of medical sports data privacy protection, and put forward positive countermeasures and some practical solutions. The results show that the medical sports information data has certain regularity and particularity, ease to spread, and mining. Hospitals and medical staff should make the areas and items restricted by law clear, standardize their own behaviors, constantly sum up experience, and actively improve and modify relevant measures.
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spelling pubmed-81285512021-05-26 Medical Sports Data Privacy Protection Method Based on Legal Risk Control Jia, Liqiang Fan, Wei J Healthc Eng Research Article With the continuous development of computer and network technology, the amount of information storage in medical information system is more and more large, which is prone to the problem of privacy information leakage, resulting in irreparable harm. In order to solve the problem of privacy leakage in the medical environment, a new privacy rating method is proposed according to the actual situation of the medical environment. The big data technology is used to effectively mine, analyze, integrate, and reuse medical data, and a new improved model is proposed. At the same time, the medical information system applying the improved model is designed according to the complex actual needs. The purpose of this paper is to correctly understand the positive role of medical sports big data (BD) research in the medical field and standardize the behavior of medical staff. On the one hand, it can improve the safety awareness of patients and enhance the standardization of medical treatment environment. This paper will analyze the meaning and research status of medical data from the perspective of legal risk control, focus on the status quo and existing problems of medical sports data privacy protection, and put forward positive countermeasures and some practical solutions. The results show that the medical sports information data has certain regularity and particularity, ease to spread, and mining. Hospitals and medical staff should make the areas and items restricted by law clear, standardize their own behaviors, constantly sum up experience, and actively improve and modify relevant measures. Hindawi 2021-05-08 /pmc/articles/PMC8128551/ /pubmed/34046154 http://dx.doi.org/10.1155/2021/6630429 Text en Copyright © 2021 Liqiang Jia and Wei Fan. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Jia, Liqiang
Fan, Wei
Medical Sports Data Privacy Protection Method Based on Legal Risk Control
title Medical Sports Data Privacy Protection Method Based on Legal Risk Control
title_full Medical Sports Data Privacy Protection Method Based on Legal Risk Control
title_fullStr Medical Sports Data Privacy Protection Method Based on Legal Risk Control
title_full_unstemmed Medical Sports Data Privacy Protection Method Based on Legal Risk Control
title_short Medical Sports Data Privacy Protection Method Based on Legal Risk Control
title_sort medical sports data privacy protection method based on legal risk control
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8128551/
https://www.ncbi.nlm.nih.gov/pubmed/34046154
http://dx.doi.org/10.1155/2021/6630429
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