In this paper, we address the problem of building an anonymized medical database from multiple sources. Our proposed solution defines how to achieve data integration in a heterogeneous network of many clinical institutions, while preserving data utility and patients’ privacy. The contribution of the paper is twofold: Firstly, we propose a secure and scalable cloud eHealth architecture to store and exchange patients’ data for the treatment. Secondly, we present an algorithm for efficient aggregation of the health data for the research purposes from multiple sources independently.
Dubovitskaya, A., Urovi, V., Vasirani, M., Aberer, K., & Schumacher, M. I. (2015). A cloud-based ehealth architecture for privacy preserving data integration. In IFIP Advances in Information and Communication Technology (Vol. 455, pp. 585–598). Springer New York LLC. https://doi.org/10.1007/978-3-319-18467-8_39