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E-Health Telecommunication Systems and Networks 2024年第3期13卷 23-44页

作者： Anna Sheri George Jomin George Judy Jenkins Faculty of Medicine and Health Life Sciences Swansea University Swansea UK

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.

关键词： Mobile Devices patient privacy Confidentiality Breaches Data Security Data Protection Regulatory Compliance User Consent Data Encryption Third-Party Integration User Awareness

ALCencryption:A Secure and Efficient Algorithm for Medical Image Encryption

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Computer Modeling in Engineering & Sciences 2020年第12期125卷 1083-1100页

作者： Jiao Ge College of Computer Science and Technology Hengyang Normal UniversityHengyang421002China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang421002China

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 *** order to solve the security problem of medical images on mobile devices,a safe and efficient medical image encryption algorithm called ALCencryption is *** algorithm first analyzes the medical image and distinguishes the color image from the gray *** 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 *** color image is encrypted by cross-diffusion algorithm of double chaotic *** 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 *** is suitable for medical image encryption of mobile devices with high real-time requirements.

关键词： patient privacy DICOM medical image encryption scrambling degree cross-diffusion

Artificial intelligence awareness and perceptions among pediatric orthopedic surgeons:A cross-sectional observational study

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World Journal of Orthopedics 2024年第11期15卷 1023-1035页

作者： Ammar K Alomran Mohammed F Alomar Ali A Akhdher Ali R Al Qanber Ahmad K Albik Arwa Alumran Ahmed H Abdulwahab Department of Orthopedic College of MedicineImam Abdulrahman Bin Faisal UniversityDammam 31441EasternSaudi Arabia College of Medicine Imam Abdulrahman Bin Faisal UniversityDammam 31441EasternSaudi Arabia Department of Health Information Management and Technology Imam Abdulrahman Bin Faisal UniversityDammam 34212EasternSaudi Arabia

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 *** is an emerging tool in pediatric orthopedic surgery,with various promising *** evaluation of the current awareness and perceptions among pediatric orthopedic surgeons is necessary to facilitate AI utilization and highlight possible areas of *** To assess the awareness and perceptions of AI among pediatric orthopedic *** This cross-sectional observational study was conducted using a structured questionnaire designed using QuestionPro online survey software to collect quantitative and qualitative *** 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 *** 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 *** 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 *** participants also placed a high priority on patient privacy and data security,with over 90%rating them as quite important or highly *** bivariate analyses suggested that physicians with a higher awareness of AI also have a more positive *** 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.

关键词： Artificial intelligence Pediatric orthopedics Surgeon awareness Data security patient privacy Healthcare technology Medical education Orthopedic surgery

Customer Satisfaction at Galen House, Bulawayo, Zimbabwe, 2019

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Open Journal of Epidemiology 2021年第1期11卷 70-79页

作者： Munekayi Padingani Nothando Dube Simbarashe Chiwanda Notion Gombe Gerald Shambira Ms T. Juru Peter Nsubuga Mufuta Tshimanga Department of Community medicine University of Zimbabwe Harare Zimbabwe Galen House 24 Hours Medical Practice Bulawayo City Zimbabwe

Introduction: 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. Methods: 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. Results: 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. Conclusion: 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.

关键词： patient Satisfactory Survey Private Sector patient Waiting Time patient privacy patient Confidentiality patient Affordability