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Haddad Soleymani, Mohammad, Mohammadpour, Adel. (1404). Assessing Information Confidentiality in Telemedicine Platforms Using Public Web Data: A Case Study of Persian Televisit Websites. سامانه مدیریت نشریات علمی, 50(12), 843-851. doi: 10.30476/ijms.2025.105205.3899
Mohammad Haddad Soleymani; Adel Mohammadpour. "Assessing Information Confidentiality in Telemedicine Platforms Using Public Web Data: A Case Study of Persian Televisit Websites". سامانه مدیریت نشریات علمی, 50, 12, 1404, 843-851. doi: 10.30476/ijms.2025.105205.3899
Haddad Soleymani, Mohammad, Mohammadpour, Adel. (1404). 'Assessing Information Confidentiality in Telemedicine Platforms Using Public Web Data: A Case Study of Persian Televisit Websites', سامانه مدیریت نشریات علمی, 50(12), pp. 843-851. doi: 10.30476/ijms.2025.105205.3899
Haddad Soleymani, Mohammad, Mohammadpour, Adel. Assessing Information Confidentiality in Telemedicine Platforms Using Public Web Data: A Case Study of Persian Televisit Websites. سامانه مدیریت نشریات علمی, 1404; 50(12): 843-851. doi: 10.30476/ijms.2025.105205.3899

Assessing Information Confidentiality in Telemedicine Platforms Using Public Web Data: A Case Study of Persian Televisit Websites

Iranian Journal of Medical Sciences
مقاله 4، دوره 50، شماره 12، اسفند 2025، صفحه 843-851    اصل مقاله (1.27 M)
نوع مقاله: Original Article(s)
شناسه دیجیتال (DOI): 10.30476/ijms.2025.105205.3899
نویسندگان
Mohammad Haddad Soleymani* 1؛ Adel Mohammadpour2
1Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
2Department of Mathematics and Statistics, University of Calgary, Calgary, Alberta, Canada
چکیده
Background: The shift from traditional office visits to internet-based care has accelerated during the COVID-19 pandemic, increasing reliance on telemedicine platforms. This growth has led to more health-related electronic data and heightened risks of unauthorized access, making it essential to prioritize information confidentiality issues. This study aims to reveal the disclosure of confidential information on a Persian televisit website.
Methods: In this observational case study, we gathered public health-related electronic data from a Persian televisit website in 2022. SAS software was used to harvest messy data about patients and doctors and create a structured dataset. Meanwhile, Microsoft Excel and RStudio software programs were used for data visualization. A hashing algorithm was applied to encode personal information, preventing the identification of individuals.
Results: Our study showed how public web data about 263 patients and 194 doctors, harvested from the target website, can be used to reveal patients’ private information. Using such data, we explored the patient-doctor interaction patterns. With access to the patients’ identifiable information, we recognized the identity of the clients who received internet-based care services and their possible diseases.
Conclusion: This analysis revealed that exposure of patients’ confidential information could compromise their identities and underlying medical conditions. This highlights the need for a national framework to ensure the security of health-related electronic data. Health authorities should enforce comprehensive laws, while the owners of televisit websites should implement privacy by design principles into the development of such platforms to prevent the disclosure of sensitive information.

تازه های تحقیق

Mohammad Haddad Soleymani (Google Scholar)

کلیدواژه‌ها
Telemedicine؛ Electronic health record؛ Privacy؛ Confidentiality؛ Computer security
مراجع
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