Department of Physical Education, East China University of Political Science and Law, Shanghai 201620, China.
Department of Physical Education, Shanghai University of Political Science and Law, Shanghai 201701, China.
J Healthc Eng. 2021 May 8;2021:6630429. doi: 10.1155/2021/6630429. eCollection 2021.
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.
随着计算机和网络技术的不断发展，医疗信息系统中存储的信息量越来越大，容易出现隐私信息泄露的问题，造成不可挽回的伤害。为了解决医疗环境中的隐私泄露问题，根据医疗环境的实际情况，提出了一种新的隐私评级方法。利用大数据技术对医疗数据进行有效的挖掘、分析、整合和再利用，提出了一种新的改进模型。同时，根据复杂的实际需求设计了应用改进模型的医疗信息系统。本文旨在正确认识医疗运动大数据（BD）研究在医疗领域的积极作用，规范医务人员的行为。一方面可以提高患者的安全意识，增强医疗环境的规范化。本文将从法律风险控制的角度分析医疗数据的意义和研究现状，重点研究医疗运动数据隐私保护的现状和存在的问题，并提出积极的对策和一些切实可行的解决方案。结果表明，医疗体育信息数据具有一定的规律性和特殊性，易于传播和挖掘。医院和医务人员应明确法律规定的限制区域和项目，规范自身行为，不断总结经验，积极完善和修改相关措施。
