电子健康记录(electronic health records,EHR)的隐私保护成为现代人越来越关注的问题.区块链是随着比特币等数字加密货币普及而兴起的技术,具有"去中心化"和"不可篡改"等特点.现有的电子健康记录管理系统往往注重...电子健康记录(electronic health records,EHR)的隐私保护成为现代人越来越关注的问题.区块链是随着比特币等数字加密货币普及而兴起的技术,具有"去中心化"和"不可篡改"等特点.现有的电子健康记录管理系统往往注重保护用户隐私数据而忽略了患者与其他角色交互时存在的安全问题,尤其是并未针对理赔过程中保险公司可查看患者敏感数据侵犯患者隐私这一问题提出明确的解决方案.故提出了一个基于区块链的可同时解决以上3个问题的方案,并将同态加密和以太坊的智能合约技术相结合,实现了保险公司在无法获取用户EHR明文和理赔对象ID的情况下仍能判断是否理赔的功能,交互过程中不向非授权用户泄露患者的任何敏感数据,加强了对用户数据的隐私保护.分析了在保护患者隐私的前提下不同角色在不同应用需求下的交互过程,并对该方案进行安全性分析和性能评估.展开更多
In the recent years, deep learning models have addressed many problems in various fields. Meanwhile, technology development has spawned the big data in healthcare rapidly. Nowadays, application of deep learning to sol...In the recent years, deep learning models have addressed many problems in various fields. Meanwhile, technology development has spawned the big data in healthcare rapidly. Nowadays, application of deep learning to solve the problems in healthcare is a hot research direction. This paper introduces the application of deep learning in healthcare extensively. We focus on 7 application areas of deep learning, which are electronic health records （EHR）, electrocardiography （ECG）, electroencephalogram （EEG）, community healthcare, data from wearable devices, drug analysis and genomics analysis. The scope of this paper does not cover medical image processing since other researchers have already substantially reviewed it. In addition, we analyze the merits and drawbacks of the existing works, analyze the existing challenges, and discuss future trends.展开更多
The application of technology in health care, in the form of electronic health records (EHR), is the most important and necessary issue in order to improve the quality of health care, and studies have shown that, not ...The application of technology in health care, in the form of electronic health records (EHR), is the most important and necessary issue in order to improve the quality of health care, and studies have shown that, not only is it a way to integrate information and represent the condition of patients, and a dynamic source for health care, however it leads to gain access to clinical information and records, electronic communications, comprehensive training and management, and ultimately enhancing the public health;the aim of this study is to investigate the factors influencing the implementation of EHR, which are known as barriers and facilitators. The research is conducted in the form of a review research, and with the help of the Keywords of EHR;barriers and facilitators, articles, from 2008 to 2013, were searched and studied in the Internet-databases. The results of the studies show that the most effective factors include: efficiency, motivation, management, and the participation of end users. Factors such as technical aspects ease of use, available resources, and human resources, have limited effects. And security and privacy, the expected output, lack of time, and workload have relative effects, and also the relation between the patient and clinical staff, has no effects in the process of implementing EHR.展开更多
文摘电子健康记录(electronic health records,EHR)的隐私保护成为现代人越来越关注的问题.区块链是随着比特币等数字加密货币普及而兴起的技术,具有"去中心化"和"不可篡改"等特点.现有的电子健康记录管理系统往往注重保护用户隐私数据而忽略了患者与其他角色交互时存在的安全问题,尤其是并未针对理赔过程中保险公司可查看患者敏感数据侵犯患者隐私这一问题提出明确的解决方案.故提出了一个基于区块链的可同时解决以上3个问题的方案,并将同态加密和以太坊的智能合约技术相结合,实现了保险公司在无法获取用户EHR明文和理赔对象ID的情况下仍能判断是否理赔的功能,交互过程中不向非授权用户泄露患者的任何敏感数据,加强了对用户数据的隐私保护.分析了在保护患者隐私的前提下不同角色在不同应用需求下的交互过程,并对该方案进行安全性分析和性能评估.
基金supported by US National Science Foundation (Nos. DBI-1356669 and Ⅲ-1526012)
文摘In the recent years, deep learning models have addressed many problems in various fields. Meanwhile, technology development has spawned the big data in healthcare rapidly. Nowadays, application of deep learning to solve the problems in healthcare is a hot research direction. This paper introduces the application of deep learning in healthcare extensively. We focus on 7 application areas of deep learning, which are electronic health records （EHR）, electrocardiography （ECG）, electroencephalogram （EEG）, community healthcare, data from wearable devices, drug analysis and genomics analysis. The scope of this paper does not cover medical image processing since other researchers have already substantially reviewed it. In addition, we analyze the merits and drawbacks of the existing works, analyze the existing challenges, and discuss future trends.
文摘The application of technology in health care, in the form of electronic health records (EHR), is the most important and necessary issue in order to improve the quality of health care, and studies have shown that, not only is it a way to integrate information and represent the condition of patients, and a dynamic source for health care, however it leads to gain access to clinical information and records, electronic communications, comprehensive training and management, and ultimately enhancing the public health;the aim of this study is to investigate the factors influencing the implementation of EHR, which are known as barriers and facilitators. The research is conducted in the form of a review research, and with the help of the Keywords of EHR;barriers and facilitators, articles, from 2008 to 2013, were searched and studied in the Internet-databases. The results of the studies show that the most effective factors include: efficiency, motivation, management, and the participation of end users. Factors such as technical aspects ease of use, available resources, and human resources, have limited effects. And security and privacy, the expected output, lack of time, and workload have relative effects, and also the relation between the patient and clinical staff, has no effects in the process of implementing EHR.
