Purpose: This research aims to evaluate the potential threats to patient privacy and confidentiality posed by mHealth applications on mobile devices. Methodology: A comprehensive literature review was conducted, selec...Purpose: This research aims to evaluate the potential threats to patient privacy and confidentiality posed by mHealth applications on mobile devices. Methodology: A comprehensive literature review was conducted, selecting eighty-eight articles published over the past fifteen years. The study assessed data gathering and storage practices, regulatory adherence, legal structures, consent procedures, user education, and strategies to mitigate risks. Results: The findings reveal significant advancements in technologies designed to safeguard privacy and facilitate the widespread use of mHealth apps. However, persistent ethical issues related to privacy remain largely unchanged despite these technological strides.展开更多
With the rapid development of medical informatization and the popularization of digital imaging equipment,DICOM images contain the personal privacy of patients,and there are security risks in the process of storage an...With the rapid development of medical informatization and the popularization of digital imaging equipment,DICOM images contain the personal privacy of patients,and there are security risks in the process of storage and transmission,so it needs to be encrypted.In order to solve the security problem of medical images on mobile devices,a safe and efficient medical image encryption algorithm called ALCencryption is designed.The algorithm first analyzes the medical image and distinguishes the color image from the gray image.For gray images,the improved Arnold map is used to scramble them according to the optimal number of iterations,and then the diffusion is realized by the Logistic and Chebyshev map cross-diffusion algorithm.The color image is encrypted by cross-diffusion algorithm of double chaotic map.Security and efficiency analysis show that the ALCencryption algorithm has the characteristics of small neighboring pixels,large key space,strong key sensitivity,high safety and short encryption time.It is suitable for medical image encryption of mobile devices with high real-time requirements.展开更多
BACKGROUND Artificial intelligence(AI)is a branch of computer science that allows machines to analyze large datasets,learn from patterns,and perform tasks that would otherwise require human intelligence and supervisio...BACKGROUND Artificial intelligence(AI)is a branch of computer science that allows machines to analyze large datasets,learn from patterns,and perform tasks that would otherwise require human intelligence and supervision.It is an emerging tool in pediatric orthopedic surgery,with various promising applications.An evaluation of the current awareness and perceptions among pediatric orthopedic surgeons is necessary to facilitate AI utilization and highlight possible areas of concern.AIM To assess the awareness and perceptions of AI among pediatric orthopedic surgeons.METHODS This cross-sectional observational study was conducted using a structured questionnaire designed using QuestionPro online survey software to collect quantitative and qualitative data.One hundred and twenty-eight pediatric orthopedic surgeons affiliated with two groups:Pediatric Orthopedic Chapter of Saudi Orthopedics Association and Middle East Pediatric Orthopedic Society in Gulf Cooperation Council Countries were surveyed.RESULTS The pediatric orthopedic surgeons surveyed had a low level of familiarity with AI,with more than 60%of respondents rating themselves as being slightly familiar or not at all familiar.The most positively rated aspect of AI applications for pediatric orthopedic surgery was their ability to save time and enhance productivity,with 61.97%agreeing or strongly agreeing,and only 4.23%disagreeing or strongly disagreeing.Our participants also placed a high priority on patient privacy and data security,with over 90%rating them as quite important or highly important.Additional bivariate analyses suggested that physicians with a higher awareness of AI also have a more positive perception.CONCLUSION Our study highlights a lack of familiarity among pediatric orthopedic surgeons towards AI,and suggests a need for enhanced education and regulatory frameworks to ensure the safe adoption of AI.展开更多
<strong>Introduction:</strong> Healthcare industries have seen recent movements towards continuous quality improvement. The healthcare regulators shifted towards a market-driven approach of turning patient...<strong>Introduction:</strong> Healthcare industries have seen recent movements towards continuous quality improvement. The healthcare regulators shifted towards a market-driven approach of turning patient satisfaction surveys into a quality improvement tool for overall organizational performance. Data concerning this has remained limited in private sector in Zimbabwe. Thus, this study aims to determine patients and health workers perception about health services offered at Galen house in order to enable the institution to come up with evidence-based interventions to improve the quality of healthcare services. <strong>Methods:</strong> This was a descriptive cross sectional study. It was a mixed qualitative and quantitative study involving data collected from patients/ guardians and health workers at Galen House from January 2019 to March of the same year. Data was analysed using Microsoft Excel version 2013. <strong>Results:</strong> There were a total of 270 patients involved into the study. 173 (64%) perceived the waiting before services as good. 213 (79%) perceived the total waiting time as not long. Privacy 215 (80%) and confidentiality 223 (83%) perceived as good by patients. More than 50% of health workers perceived health services offered at Galen House as good. Staff attitude was perceived as good 191 (71%) by patients in contrary to some instance by health workers. Affordability of services was perceived as manageable. <strong>Conclusion:</strong> The total waiting time was perceived as not long at Galen House. Staff attitude was perceived differently by patients and health workers. Improving those two will contribute to more utilization of services by the community.展开更多
Background:Electronic Health Record(EHR)systems are used as an efficient and effective technique for sharing patient’s health records among different hospitals and various other key stakeholders of the healthcare ind...Background:Electronic Health Record(EHR)systems are used as an efficient and effective technique for sharing patient’s health records among different hospitals and various other key stakeholders of the healthcare industry to achieve better diagnosis and treatment of patients globally.However,the existing EHR systems mostly lack in providing appropriate security,entrusted access control and handling privacy and secrecy issues and challenges in current hospital infrastructures.Objective:To solve this delicate problem,we propose a Blockchain-enabled Hyperledger Fabric Architecture for different EHR systems.Methodology:In our EHR blockchain system,Peer nodes from various organizations(stakeholders)create a ledger network,where channels are created to enable secure and private communication between different stakeholders on the ledger network.Individual patients and other stakeholders are identified and registered on the network by unique digital certificates issued by membership service provider(MSP)component of the fabric architecture.Results:We created and implemented different Chaincodes to handle the business logic for executing separate EHR transactions on the network.The proposed fabric architecture provides a secure,transparent and immutable mechanism to store,share and exchange EHRs in a peer-to-peer network of different healthcare stakeholders.It ensures interoperability,scalability and availability in adapting the existing EHRs for strengthening and providing an effective and secure method to integrate and manage patient records among medical institutions in the healthcare ecosystem.展开更多
文摘Purpose: This research aims to evaluate the potential threats to patient privacy and confidentiality posed by mHealth applications on mobile devices. Methodology: A comprehensive literature review was conducted, selecting eighty-eight articles published over the past fifteen years. The study assessed data gathering and storage practices, regulatory adherence, legal structures, consent procedures, user education, and strategies to mitigate risks. Results: The findings reveal significant advancements in technologies designed to safeguard privacy and facilitate the widespread use of mHealth apps. However, persistent ethical issues related to privacy remain largely unchanged despite these technological strides.
基金This work is partly supported by the Scientific Research Fund of Hunan Provincial Education Department(19B082)the Science and Technology Development Center of the Ministry of Education-New Generation Information Technology Innovation Project(2018A02020)+4 种基金the research supported by Science Foundation of Hengyang Normal University(19QD12)the Science and Technology Innovation Program of Hunan Province(2016TP1020)the Application-oriented Special Disciplines,Double First-Class University Project of Hunan Province(Xiangjiaotong[2018]469)the Hunan Province Special Funds of Central Government for Guiding Local Science and Technology Development(2018CT5001)the Subject Group Construction Project of Hengyang Normal University(18XKQ02).
文摘With the rapid development of medical informatization and the popularization of digital imaging equipment,DICOM images contain the personal privacy of patients,and there are security risks in the process of storage and transmission,so it needs to be encrypted.In order to solve the security problem of medical images on mobile devices,a safe and efficient medical image encryption algorithm called ALCencryption is designed.The algorithm first analyzes the medical image and distinguishes the color image from the gray image.For gray images,the improved Arnold map is used to scramble them according to the optimal number of iterations,and then the diffusion is realized by the Logistic and Chebyshev map cross-diffusion algorithm.The color image is encrypted by cross-diffusion algorithm of double chaotic map.Security and efficiency analysis show that the ALCencryption algorithm has the characteristics of small neighboring pixels,large key space,strong key sensitivity,high safety and short encryption time.It is suitable for medical image encryption of mobile devices with high real-time requirements.
文摘BACKGROUND Artificial intelligence(AI)is a branch of computer science that allows machines to analyze large datasets,learn from patterns,and perform tasks that would otherwise require human intelligence and supervision.It is an emerging tool in pediatric orthopedic surgery,with various promising applications.An evaluation of the current awareness and perceptions among pediatric orthopedic surgeons is necessary to facilitate AI utilization and highlight possible areas of concern.AIM To assess the awareness and perceptions of AI among pediatric orthopedic surgeons.METHODS This cross-sectional observational study was conducted using a structured questionnaire designed using QuestionPro online survey software to collect quantitative and qualitative data.One hundred and twenty-eight pediatric orthopedic surgeons affiliated with two groups:Pediatric Orthopedic Chapter of Saudi Orthopedics Association and Middle East Pediatric Orthopedic Society in Gulf Cooperation Council Countries were surveyed.RESULTS The pediatric orthopedic surgeons surveyed had a low level of familiarity with AI,with more than 60%of respondents rating themselves as being slightly familiar or not at all familiar.The most positively rated aspect of AI applications for pediatric orthopedic surgery was their ability to save time and enhance productivity,with 61.97%agreeing or strongly agreeing,and only 4.23%disagreeing or strongly disagreeing.Our participants also placed a high priority on patient privacy and data security,with over 90%rating them as quite important or highly important.Additional bivariate analyses suggested that physicians with a higher awareness of AI also have a more positive perception.CONCLUSION Our study highlights a lack of familiarity among pediatric orthopedic surgeons towards AI,and suggests a need for enhanced education and regulatory frameworks to ensure the safe adoption of AI.
文摘<strong>Introduction:</strong> Healthcare industries have seen recent movements towards continuous quality improvement. The healthcare regulators shifted towards a market-driven approach of turning patient satisfaction surveys into a quality improvement tool for overall organizational performance. Data concerning this has remained limited in private sector in Zimbabwe. Thus, this study aims to determine patients and health workers perception about health services offered at Galen house in order to enable the institution to come up with evidence-based interventions to improve the quality of healthcare services. <strong>Methods:</strong> This was a descriptive cross sectional study. It was a mixed qualitative and quantitative study involving data collected from patients/ guardians and health workers at Galen House from January 2019 to March of the same year. Data was analysed using Microsoft Excel version 2013. <strong>Results:</strong> There were a total of 270 patients involved into the study. 173 (64%) perceived the waiting before services as good. 213 (79%) perceived the total waiting time as not long. Privacy 215 (80%) and confidentiality 223 (83%) perceived as good by patients. More than 50% of health workers perceived health services offered at Galen House as good. Staff attitude was perceived as good 191 (71%) by patients in contrary to some instance by health workers. Affordability of services was perceived as manageable. <strong>Conclusion:</strong> The total waiting time was perceived as not long at Galen House. Staff attitude was perceived differently by patients and health workers. Improving those two will contribute to more utilization of services by the community.
基金funded by the Deanship of Scientific Research at Princess Nourah bint Abdulrahman University through the Fast-track Research Funding Program.
文摘Background:Electronic Health Record(EHR)systems are used as an efficient and effective technique for sharing patient’s health records among different hospitals and various other key stakeholders of the healthcare industry to achieve better diagnosis and treatment of patients globally.However,the existing EHR systems mostly lack in providing appropriate security,entrusted access control and handling privacy and secrecy issues and challenges in current hospital infrastructures.Objective:To solve this delicate problem,we propose a Blockchain-enabled Hyperledger Fabric Architecture for different EHR systems.Methodology:In our EHR blockchain system,Peer nodes from various organizations(stakeholders)create a ledger network,where channels are created to enable secure and private communication between different stakeholders on the ledger network.Individual patients and other stakeholders are identified and registered on the network by unique digital certificates issued by membership service provider(MSP)component of the fabric architecture.Results:We created and implemented different Chaincodes to handle the business logic for executing separate EHR transactions on the network.The proposed fabric architecture provides a secure,transparent and immutable mechanism to store,share and exchange EHRs in a peer-to-peer network of different healthcare stakeholders.It ensures interoperability,scalability and availability in adapting the existing EHRs for strengthening and providing an effective and secure method to integrate and manage patient records among medical institutions in the healthcare ecosystem.
