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Modeling the Information Transparency of Health Service Privacy Policies (CROSBI ID 718291)

Prilog sa skupa u časopisu | izvorni znanstveni rad | međunarodna recenzija

Alić, Marta ; Luić, Ljerka Modeling the Information Transparency of Health Service Privacy Policies // Studies in health technology and informatics / Séroussi, Brigitte ; Patrick Weber, Patrick ; Dhombres, Ferdinand et al. (ur.). 2022. str. 275-276 doi: 10.3233/SHTI220454

Podaci o odgovornosti

Alić, Marta ; Luić, Ljerka

engleski

Modeling the Information Transparency of Health Service Privacy Policies

In the present-day age of information abundance, in which the rights and freedoms in the digital environment are strengthened, information transparency is becoming an integral part of them. The rights of individuals to their own choice are more consequential in the field of privacy protection and the process of digital transformation in organizations is increasingly focused on the protection of collected and processed personal data. The basic (ex-ante) tool of transparency is the publication of privacy policies to inform the individuals with the procedures related to the collection, sharing, use and storage of their personal data, making them active shareholders in decision making process. The aim of this paper is to identify the factors influencing the information asymmetry of privacy policies in the field of health services and to provide a conceptual model for evaluating their information transparency.

information transparency ; privacy policies ; health service

Rad je napisan u koautorstvu doktorand (Marta Alić, Filozofski fakultet Sveučilišta u Zagrebu) i mentor (Ljerka Luić) iz područja obranjene teme doktorskog rada "Model vrjednovanja informacijske transparentnosti politika privatnosti".

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Podaci o prilogu

275-276.

2022.

nije evidentirano

objavljeno

10.3233/SHTI220454

Podaci o matičnoj publikaciji

Studies in health technology and informatics

Séroussi, Brigitte ; Patrick Weber, Patrick ; Dhombres, Ferdinand ; Grouin, Cyril ; Liebe, Jan-David ; Pelayo, Sylvia ; Pinna, Andrea ; Rance, Bastien ; Sacchi, Lucia ; Ugon, Adrien ; Benis, Arriel ; Gallos Parisis

Amsterdam: IOS Press

978-1-64368-284-6

0926-9630

Podaci o skupu

MIE 2022 “Challenges of trustable AI and added-value on health”

poster

27.05.2022-30.05.2022

Nica, Francuska

Povezanost rada

Informacijske i komunikacijske znanosti

Poveznice
Indeksiranost