In certain cloud Electronic Medical Records (EMRs) applications, the data ownership may need to be transferred. In practice, not only the data but also the auditing ability should be transferred securely and efciently...In certain cloud Electronic Medical Records (EMRs) applications, the data ownership may need to be transferred. In practice, not only the data but also the auditing ability should be transferred securely and efciently. However, we investigate and fnd that most of the existing data ownership transfer protocols only work well between two indi-viduals,and they become inefcient when dealing between two communities. The proposals for transferring tags between communities are problematic as well since, they require all members get involved or a fully trusted aggrega-torfacilitates ownership transfer, which are unrealistic in certain scenarios. To alleviate these problems, in this paper we develop a secure auditing protocol with decentralized (t, n)-threshold ownership transfer for cloud EMRs. This protocol is designed to operate efciently without requiring the mandatory participation of every user or the involve-mentof any trusted third-party. It is achieved by employing the threshold signature. Rigorous security analyses and comprehensive performance evaluations illustrate the security and practicality of our protocol. Specifcally, according to the evaluations and comparisons, the communication and computational consumption is independent of the fle size, i.e., it is constant in our protocol for both communities.展开更多
In the domain of Electronic Medical Records(EMRs),emerging technologies are crucial to addressing longstanding concerns surrounding transaction security and patient privacy.This paper explores the integration of smart...In the domain of Electronic Medical Records(EMRs),emerging technologies are crucial to addressing longstanding concerns surrounding transaction security and patient privacy.This paper explores the integration of smart contracts and blockchain technology as a robust framework for securing sensitive healthcare data.By leveraging the decentralized and immutable nature of blockchain,the proposed approach ensures transparency,integrity,and traceability of EMR transactions,effectivelymitigating risks of unauthorized access and data tampering.Smart contracts further enhance this framework by enabling the automation and enforcement of secure transactions,eliminating reliance on intermediaries and reducing the potential for human error.This integration marks a paradigm shift in management and exchange of healthcare information,fostering a secure and privacy-preserving ecosystem for all stakeholders.The research also evaluates the practical implementation of blockchain and smart contracts within healthcare systems,examining their real-world effectiveness in enhancing transactional security,safeguarding patient privacy,and maintaining data integrity.Findings from the study contribute valuable insights to the growing body of work on digital healthcare innovation,underscoring the potential of these technologies to transform EMR systems with high accuracy and precision.As global healthcare systems continue to face the challenge of protecting sensitive patient data,the proposed framework offers a forward-looking,scalable,and effective solution aligned with the evolving digital healthcare landscape.展开更多
电子病历(Electronic Medical Record,EMR)作为病人医疗信息载体,能够为医生提供真实有效的病人过往病情信息。同时随着互联网的快速发展,云计算的出现让电子病历可以跨医院实现共享,为医生更快速有效地判断病人病情并提供有效的治疗手...电子病历(Electronic Medical Record,EMR)作为病人医疗信息载体,能够为医生提供真实有效的病人过往病情信息。同时随着互联网的快速发展,云计算的出现让电子病历可以跨医院实现共享,为医生更快速有效地判断病人病情并提供有效的治疗手段。该文建立了基于云计算的Web服务连接各医院数据信息库实现电子病历区域数据共享,同时使用XML技术使信息快速转换并且信息储存具有高度私密性。通过测试表明,基于云计算技术的电子病历管理系统,能够实现病人电子病历数据的安全有效传输。展开更多
鉴于当前智慧医疗发展的迫切需求,旨在通过构建一套高效、便捷和人性化的电子病历(Electronic Medical Record,EMR)系统App来提升医疗服务的质量和效率。通过系统地分析服务设计的核心理念和方法,并结合智慧医疗的实际应用场景,提出了针...鉴于当前智慧医疗发展的迫切需求,旨在通过构建一套高效、便捷和人性化的电子病历(Electronic Medical Record,EMR)系统App来提升医疗服务的质量和效率。通过系统地分析服务设计的核心理念和方法,并结合智慧医疗的实际应用场景,提出了针对EMR系统App设计的创新策略和实践路径,这不仅有助于推动EMR系统App的优化升级,也为智慧医疗的深入发展提供了有力的技术支撑和设计参考。通过研究,期望能够为用户带来更优质的医疗服务体验,进一步推动智慧医疗产业的繁荣与发展。展开更多
The assessment of the completeness of earthquake catalogs is a prerequisite for studying the patterns of seismic activity.In traditional approaches,the minimum magnitude of completeness(MC)is employed to evaluate cata...The assessment of the completeness of earthquake catalogs is a prerequisite for studying the patterns of seismic activity.In traditional approaches,the minimum magnitude of completeness(MC)is employed to evaluate catalog completeness,with events below MC being discarded,leading to the underutilization of the data.Detection probability is a more detailed measure of the catalog's completeness than MC;its use results in better model compatibility with data in seismic activity modeling and allows for more comprehensive utilization of seismic observation data across temporal,spatial,and magnitude dimensions.Using the magnitude-rank method and Maximum Curvature(MAXC)methods,we analyzed temporal variations in earthquake catalog completeness,finding that MC stabilized after 2010,which closely coincides with improvements in monitoring capabilities and the densification of seismic networks.Employing the probability-based magnitude of completeness(PMC)and entire magnitude range(EMR)methods,grounded in distinct foundational assumptions and computational principles,we analyzed the 2010-2023 earthquake catalog for the northern margin of the Ordos Block,aiming to assess the detection probability of earthquakes and the completeness of the earthquake catalog.The PMC method yielded the detection probability distribution for 76 stations in the distance-magnitude space.A scoring metric was designed based on station detection capabilities for small earthquakes in the near field.From the detection probabilities of stations,we inferred detection probabilities of the network for diff erent magnitude ranges and mapped the spatial distribution of the probability-based completeness magnitude.In the EMR method,we employed a segmented model fitted to the observed data to determine the detection probability and completeness magnitude for every grid point in the study region.We discussed the sample dependency and low-magnitude failure phenomena of the PMC method,noting the potential overestimation of detection probabilities for lower magnitudes and the underestimation of MC in areas with weaker monitoring capabilities.The results obtained via the two methods support these hypotheses.The assessment results indicate better monitoring capabilities on the eastern side of the study area but worse on the northwest side.The spatial distribution of network monitoring capabilities is uneven,correlating with the distribution of stations and showing significant diff erences in detection capabilities among diff erent stations.The truncation eff ects of data and station selection aff ected the evaluation results at the edges of the study area.Overall,both methods yielded detailed descriptions of the earthquake catalog,but careful selection of calculation parameters or adjustments based on the strengths of diff erent methods is necessary to correct potential biases.展开更多
基金supported by the National Natural Science Foundation of China(No.61902289,No.62202102,No.61972096)the University-Industry Coop-eration Project of Fujian Provincial Department of Science and Technology(2022H60250)+2 种基金the National Technology Development Project in Fujian prov-ince(No.2023L3007)Key Projects of Scientifc and Technological Innovation in Fujian Province(No.2022G02003)the Natural Science Foundation of Fujian Province(No.2023J01534).
文摘In certain cloud Electronic Medical Records (EMRs) applications, the data ownership may need to be transferred. In practice, not only the data but also the auditing ability should be transferred securely and efciently. However, we investigate and fnd that most of the existing data ownership transfer protocols only work well between two indi-viduals,and they become inefcient when dealing between two communities. The proposals for transferring tags between communities are problematic as well since, they require all members get involved or a fully trusted aggrega-torfacilitates ownership transfer, which are unrealistic in certain scenarios. To alleviate these problems, in this paper we develop a secure auditing protocol with decentralized (t, n)-threshold ownership transfer for cloud EMRs. This protocol is designed to operate efciently without requiring the mandatory participation of every user or the involve-mentof any trusted third-party. It is achieved by employing the threshold signature. Rigorous security analyses and comprehensive performance evaluations illustrate the security and practicality of our protocol. Specifcally, according to the evaluations and comparisons, the communication and computational consumption is independent of the fle size, i.e., it is constant in our protocol for both communities.
文摘In the domain of Electronic Medical Records(EMRs),emerging technologies are crucial to addressing longstanding concerns surrounding transaction security and patient privacy.This paper explores the integration of smart contracts and blockchain technology as a robust framework for securing sensitive healthcare data.By leveraging the decentralized and immutable nature of blockchain,the proposed approach ensures transparency,integrity,and traceability of EMR transactions,effectivelymitigating risks of unauthorized access and data tampering.Smart contracts further enhance this framework by enabling the automation and enforcement of secure transactions,eliminating reliance on intermediaries and reducing the potential for human error.This integration marks a paradigm shift in management and exchange of healthcare information,fostering a secure and privacy-preserving ecosystem for all stakeholders.The research also evaluates the practical implementation of blockchain and smart contracts within healthcare systems,examining their real-world effectiveness in enhancing transactional security,safeguarding patient privacy,and maintaining data integrity.Findings from the study contribute valuable insights to the growing body of work on digital healthcare innovation,underscoring the potential of these technologies to transform EMR systems with high accuracy and precision.As global healthcare systems continue to face the challenge of protecting sensitive patient data,the proposed framework offers a forward-looking,scalable,and effective solution aligned with the evolving digital healthcare landscape.
文摘电子病历(Electronic Medical Record,EMR)作为病人医疗信息载体,能够为医生提供真实有效的病人过往病情信息。同时随着互联网的快速发展,云计算的出现让电子病历可以跨医院实现共享,为医生更快速有效地判断病人病情并提供有效的治疗手段。该文建立了基于云计算的Web服务连接各医院数据信息库实现电子病历区域数据共享,同时使用XML技术使信息快速转换并且信息储存具有高度私密性。通过测试表明,基于云计算技术的电子病历管理系统,能够实现病人电子病历数据的安全有效传输。
文摘鉴于当前智慧医疗发展的迫切需求,旨在通过构建一套高效、便捷和人性化的电子病历(Electronic Medical Record,EMR)系统App来提升医疗服务的质量和效率。通过系统地分析服务设计的核心理念和方法,并结合智慧医疗的实际应用场景,提出了针对EMR系统App设计的创新策略和实践路径,这不仅有助于推动EMR系统App的优化升级,也为智慧医疗的深入发展提供了有力的技术支撑和设计参考。通过研究,期望能够为用户带来更优质的医疗服务体验,进一步推动智慧医疗产业的繁荣与发展。
基金funded by Director Fund of the Inner Mongolia Autonomous Region Seismological Bureau(No.2023GG02,2023MS05)the Inner Mongolia Natural Science Foundation(No.2024MS04021)。
文摘The assessment of the completeness of earthquake catalogs is a prerequisite for studying the patterns of seismic activity.In traditional approaches,the minimum magnitude of completeness(MC)is employed to evaluate catalog completeness,with events below MC being discarded,leading to the underutilization of the data.Detection probability is a more detailed measure of the catalog's completeness than MC;its use results in better model compatibility with data in seismic activity modeling and allows for more comprehensive utilization of seismic observation data across temporal,spatial,and magnitude dimensions.Using the magnitude-rank method and Maximum Curvature(MAXC)methods,we analyzed temporal variations in earthquake catalog completeness,finding that MC stabilized after 2010,which closely coincides with improvements in monitoring capabilities and the densification of seismic networks.Employing the probability-based magnitude of completeness(PMC)and entire magnitude range(EMR)methods,grounded in distinct foundational assumptions and computational principles,we analyzed the 2010-2023 earthquake catalog for the northern margin of the Ordos Block,aiming to assess the detection probability of earthquakes and the completeness of the earthquake catalog.The PMC method yielded the detection probability distribution for 76 stations in the distance-magnitude space.A scoring metric was designed based on station detection capabilities for small earthquakes in the near field.From the detection probabilities of stations,we inferred detection probabilities of the network for diff erent magnitude ranges and mapped the spatial distribution of the probability-based completeness magnitude.In the EMR method,we employed a segmented model fitted to the observed data to determine the detection probability and completeness magnitude for every grid point in the study region.We discussed the sample dependency and low-magnitude failure phenomena of the PMC method,noting the potential overestimation of detection probabilities for lower magnitudes and the underestimation of MC in areas with weaker monitoring capabilities.The results obtained via the two methods support these hypotheses.The assessment results indicate better monitoring capabilities on the eastern side of the study area but worse on the northwest side.The spatial distribution of network monitoring capabilities is uneven,correlating with the distribution of stations and showing significant diff erences in detection capabilities among diff erent stations.The truncation eff ects of data and station selection aff ected the evaluation results at the edges of the study area.Overall,both methods yielded detailed descriptions of the earthquake catalog,but careful selection of calculation parameters or adjustments based on the strengths of diff erent methods is necessary to correct potential biases.
