A4 Vertaisarvioitu artikkeli konferenssijulkaisussa

Third-Party Privacy Data Leak Analysis on Ontario Hospital Websites




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

ToimittajaN/A

Konferenssin vakiintunut nimiInternational Conference on Pattern Recognition and Artificial Intelligence

Julkaisuvuosi2025

Kokoomateoksen nimi2025 IEEE 8th International Conference on Pattern Recognition and Artificial Intelligence (PRAI)

Aloitussivu878

Lopetussivu883

ISBN979-8-3315-7406-2

eISBN979-8-3315-7405-5

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

Julkaisun avoimuus kirjaamishetkelläEi avoimesti saatavilla

Julkaisukanavan avoimuus Ei avoin julkaisukanava

Verkko-osoitehttps://ieeexplore.ieee.org/document/11412538


Tiivistelmä

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.



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