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Analysis of healthcare big data

机译：医疗保健大数据分析

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摘要

In order to explore the development of healthcare in China and the privacy and security risk factors in medical data under the background of big data, the development status of China's healthcare sector is analyzed. The questionnaire is used to analyze the privacy and security risk factors of healthcare big data and protection measures are put forward based on the data privacy and security risk factors in the context of cloud services in the literature. The results show that in recent years, the number of health institutions, the number of medical personnel, the assets of medical institutions, the per capita hospitalization cost, and the insured population all show a trend of increasing year by year; while in 2017, the crude mortality rate of malignant tumor patients was the highest in China, and the mortality rate of rural patients was higher than that of urban patients. The results of the questionnaire show that the probability of data analysis, medical treatment process, disease diagnosis process, lack of protective measures, and imperfect access system is all greater than 0.8 when medical care big data is oriented to cloud services. Based on this, two levels of privacy protection measures are proposed: technology and management. It indicates that medical institutions need to pay attention to data privacy protection and grasp the use of digital medical data to provide decision support for subsequent medical data analysis.
机译：为了探讨中国医疗保健的发展以及大数据背景下医疗数据的隐私和安全危险因素，分析了中国医疗部门的发展地位。调查问卷用于分析医疗保健大数据的隐私和安全风险因素，并根据文献中云服务背景下的数据隐私和安全风险因素提出了保护措施。结果表明，近年来，卫生机构数量，医务人员数量，医疗机构资产，人均住院费用以及被保险人口均呈现出年增长的趋势;虽然在2017年，恶性肿瘤患者的原油死亡率是中国最高的，而农村患者的死亡率高于城市患者。调查问卷的结果表明，当医疗保健大数据导向到云服务时，数据分析，医疗过程，疾病诊断过程，缺乏保护措施，缺乏保护措施以及不完全的接入系统的概率大于0.8。基于这一点，提出了两层隐私保护措施：技术与管理。它表明医疗机构需要注意数据隐私保护并掌握使用数字医疗数据，为后续医疗数据分析提供决策支持。

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