Regional medical unions are practical approaches to deal with the cases that patients crowd in Grade 3 Class A general hospitals in metropolitan cities such as Shanghai,in China.However,electronic medical data analysi...Regional medical unions are practical approaches to deal with the cases that patients crowd in Grade 3 Class A general hospitals in metropolitan cities such as Shanghai,in China.However,electronic medical data analysis exists challenges when patients are referred among different hospitals in the regional medical unions during treatment procedures.In smart cities,demands for medical services provided by smart devises,complicate the environment of medical data analysis.In order to tackle the above problems,in this paper,a healthcare data analysis system for regional medical union is designed to support doctors from different hospitals to assess health conditions of patients in an overall data view.Behaviour patterns are mined from physiological index values.Tags are generated from social networks data to find the hot topics concerned by people living in common region.Experiments are given to illustrate the feasibility of the system in supporting healthcare data analysis.展开更多
The healthcare industry deals with highly sensitive data which must be managed in a secure way.Electronic Health Records(EHRs)hold various kinds of personal and sensitive data which contain names,addresses,social secu...The healthcare industry deals with highly sensitive data which must be managed in a secure way.Electronic Health Records(EHRs)hold various kinds of personal and sensitive data which contain names,addresses,social security numbers,insurance numbers,and medical history.Such personal data is valuable to the patients,healthcare service providers,medical insurance companies,and research institutions.However,the public release of this highly sensitive personal data poses serious privacy and security threats to patients and healthcare service providers.Hence,we foresee the requirement of new technologies to address the privacy and security challenges for personal data in healthcare applications.Blockchain is one of the promising solutions,aimed to provide transparency,security,and privacy using consensus-driven decentralised data management on top of peer-to-peer distributed computing systems.Therefore,to solve the mentioned problems in healthcare applications,in this paper,we investigate the use of private blockchain technologies to assess their feasibility for healthcare applications.We create testing scenarios using HyperLedger Fabric to explore different criteria and use-cases for healthcare applications.Additionally,we thoroughly evaluate the representative test case scenarios to assess the blockchain-enabled security criteria in terms of data confidentiality,privacy and access control.The experimental evaluation reveals the promising benefits of private blockchain technologies in terms of security,regulation compliance,compatibility,flexibility,and scalability.展开更多
基金This research is supported by supported by Shanghai Jiao Tong University funding project[16JCCS08]the Shanghai Institute of Precision Measurement Project under grant number[SAST2017-128].
文摘Regional medical unions are practical approaches to deal with the cases that patients crowd in Grade 3 Class A general hospitals in metropolitan cities such as Shanghai,in China.However,electronic medical data analysis exists challenges when patients are referred among different hospitals in the regional medical unions during treatment procedures.In smart cities,demands for medical services provided by smart devises,complicate the environment of medical data analysis.In order to tackle the above problems,in this paper,a healthcare data analysis system for regional medical union is designed to support doctors from different hospitals to assess health conditions of patients in an overall data view.Behaviour patterns are mined from physiological index values.Tags are generated from social networks data to find the hot topics concerned by people living in common region.Experiments are given to illustrate the feasibility of the system in supporting healthcare data analysis.
文摘The healthcare industry deals with highly sensitive data which must be managed in a secure way.Electronic Health Records(EHRs)hold various kinds of personal and sensitive data which contain names,addresses,social security numbers,insurance numbers,and medical history.Such personal data is valuable to the patients,healthcare service providers,medical insurance companies,and research institutions.However,the public release of this highly sensitive personal data poses serious privacy and security threats to patients and healthcare service providers.Hence,we foresee the requirement of new technologies to address the privacy and security challenges for personal data in healthcare applications.Blockchain is one of the promising solutions,aimed to provide transparency,security,and privacy using consensus-driven decentralised data management on top of peer-to-peer distributed computing systems.Therefore,to solve the mentioned problems in healthcare applications,in this paper,we investigate the use of private blockchain technologies to assess their feasibility for healthcare applications.We create testing scenarios using HyperLedger Fabric to explore different criteria and use-cases for healthcare applications.Additionally,we thoroughly evaluate the representative test case scenarios to assess the blockchain-enabled security criteria in terms of data confidentiality,privacy and access control.The experimental evaluation reveals the promising benefits of private blockchain technologies in terms of security,regulation compliance,compatibility,flexibility,and scalability.
