Agent-based Secure Aggregation of Distributed Health Data
Zim Chan, Peter Croll, Anthony John Maeder, David T. Hansen · Medinfo 2007: Proceedings of the 12th World Congress on Health (Medical) Informatics; Building Sustainable Health Systems · 2007
A common problem in the health sector is in balancing the need for patient health information against the risks posed by releasing such private information. The idea of Secure Multi-party Computation (SMC) provides potential ways in which this can be mitigated, by allowing for analysis of data distributed amongst multiple parties to take place without the need to disclose it. This paper presents a two-party SMC protocol which can be used to calculate some basic aggregate functions. In addition, we discuss a rationale for using an agent-based framework to utilize SMC techniques in order to support privacy-preserving access to health information.