A4 Vertaisarvioitu artikkeli konferenssijulkaisussa
Several Online Pharmacies Leak Sensitive Health Data to Third Parties
Tekijät: Carlsson, Robin; Rauti, Sampsa; Mickelsson, Sini; Mäkilä, Tuomas; Heino, Timi; Pirjatanniemi, Elina; Leppänen, Ville
Toimittaja: Rocha Alvaro, Adeli Hojjat, Dzemyda Gintautas, Moreira Fernando, Colla Valentina
Konferenssin vakiintunut nimi: World Conference on Information Systems and Technologies
Kustantaja: Springer Science and Business Media Deutschland GmbH
Kustannuspaikka: Cham
Julkaisuvuosi: 2024
Journal: Lecture Notes in Networks and Systems
Kokoomateoksen nimi: Information Systems and Technologies: WorldCIST 2023, Volume 1
Sarjan nimi: Lecture Notes in Networks and Systems
Vuosikerta: 799
Aloitussivu: 164
Lopetussivu: 175
ISBN: 978-3-031-45641-1
eISBN: 978-3-031-45642-8
ISSN: 2367-3370
eISSN: 2367-3389
DOI: https://doi.org/10.1007/978-3-031-45642-8_16
Verkko-osoite: https://doi.org/10.1007/978-3-031-45642-8_16
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/387704148
As the demand for digital services keeps growing, online pharmacies have become a very important part of essential digital services. When sensitive personal data such as medicine orders are processed, privacy issues become increasingly important. In this paper, we take a look at personal data delivered to third parties in 20 Finnish online pharmacies. More specifically, we study whether the data on prescription medicine orders is leaked out to third-party analytics services. Our findings reveal that 14 (70%) of studied pharmacies send out information about the customers intending to order prescription medicines to third parties, and 7 (35%) of the pharmacies even leak the data about the specific prescription medicine a specific customer is ordering. We also discuss implications of the data leaks and give suggestions on how this alarming state of affairs can be alleviated.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
Julkaisussa olevat rahoitustiedot:
This research has been funded by Academy of Finland project 327397, IDA - Intimacy in Data-Driven Culture.
