A4 Refereed article in a conference publication

Third-Party Privacy Data Leak Analysis on Ontario Hospital Websites




AuthorsKalyani, Tarun; Stewart, Justin; Yan, Yan; Rauti, Sampsa; Leppänen, Ville; Bhutto, Zuhaibuddin; Lin, Wenjun

EditorsN/A

Conference nameInternational Conference on Pattern Recognition and Artificial Intelligence

Publication year2025

Book title 2025 IEEE 8th International Conference on Pattern Recognition and Artificial Intelligence (PRAI)

First page 878

Last page883

ISBN979-8-3315-7406-2

eISBN979-8-3315-7405-5

DOIhttps://doi.org/10.1109/PRAI67447.2025.11412538

Publication's open availability at the time of reportingNo Open Access

Publication channel's open availability No Open Access publication channel

Web address https://ieeexplore.ieee.org/document/11412538


Abstract

This study investigates the privacy concerns associated with third-party data leaks on hospital websites in Ontario, Canada. The study employs both manual and automated analytics to investigate the privacy practices of 135 hospital websites in Ontario. This dual approach entails a thorough evaluation of websites while gathering and evaluating datasharing policies. The findings show substantial variation in datasharing procedures, with some hospital websites disclosing user data to third parties without explicit agreement, posing serious privacy issues. The study uncovers trends and abnormalities in data transfers, emphasizing the need for regulatory measures and enforcement to secure patient information. Furthermore, the findings highlight the critical need for strong privacy safeguards and regulatory frameworks in the healthcare industry. The study also makes practical recommendations for improving data privacy on hospital websites.



Last updated on 10/03/2026 07:24:51 AM