Abstract:
The widespread adoption of smart healthcare technologies raises significant concerns about privacy in the healthcare sector. In fact, patients' privacy is at risk as thes...Show MoreMetadata
Abstract:
The widespread adoption of smart healthcare technologies raises significant concerns about privacy in the healthcare sector. In fact, patients' privacy is at risk as these technologies become more prevalent, since they allow the sharing of vast amounts of patients' data among different healthcare stakeholders. In response to this challenge, ensuring that service providers respect patients' privacy preferences requires the expression of these preferences and privacy policies in a standardized syntax. This paper proposes a methodology for translating service privacy policies from natural language to a dedicated standardized language, called S4P. The objective isto provide a clear and comprehensible representation of the policies, thereby promoting a well-established understanding of their meaning and allowing appropriate decision-making regarding patient privacy protection. This will help [in] overcoming language barriers, minimizing the risk of privacy violations, and facilitating compliance with various laws and regulations concerning patient privacy protection. The effectiveness of our proposal was validated through experiments against real-world privacy policies of healthcare providers.
Date of Conference: 21-23 November 2023
Date Added to IEEE Xplore: 29 December 2023
ISBN Information: