Title :
Categorized level management agent with forest-based data structures for accessing personal health records
Author :
Wu, Ssu-Wei ; Cheng, Po-Hsun ; Chiang, Wen-Cheng ; Lin, Jia-Kuan ; Lai, Jin-Shin
Author_Institution :
Dept. of Software Eng., Kaohsiung Normal Univ., Kaohsiung, Taiwan
Abstract :
Based on the wide usage of personal health records, privacy concerns are inevitable, such as the disclosure degree for personal information and health records and browsing privileges for related information. We do not have an effective categorizing system to control user privilege, so employees who have multiple identities must switch between different accounts, which are both inconvenient and ineffective, and there are few articles that address this problem. We create responding privilege sets for each identity, and we add users who have such identities to it. In this way, the same user might exist in the sets of his identities. Searching the system is authority based. Accordingly, we categorize most healthcare events and map them to a specific user role and privilege scope with a practice software component categorized level management agent. Integrated with our components, the health applications can judge specific user privileges intelligently immediately after any anticipated event.
Keywords :
data privacy; health care; medical information systems; software agents; forest-based data structures; healthcare events; personal health records; practice software component categorized level management agent; privacy concerns; Biomedical imaging; Data structures; Education; Hospitals; Informatics; Privacy; Access control; data structures; identity management systems; information security; intelligent agents; personal health records; privacy;
Conference_Titel :
TENCON 2011 - 2011 IEEE Region 10 Conference
Conference_Location :
Bali
Print_ISBN :
978-1-4577-0256-3
DOI :
10.1109/TENCON.2011.6129304