@article{ref1,
title="AEGIS: a robust and scalable real-time public health surveillance system",
journal="Journal of the American Medical Informatics Association",
year="2007",
author="Reis, Ben Y. and Kirby, Chaim and Hadden, Lucy E. and Olson, Karen and McMurry, Andrew J. and Daniel, James B. and Mandl, Kenneth D.",
volume="14",
number="5",
pages="581-588",
abstract="In this report, we describe the Automated Epidemiological Geotemporal Integrated Surveillance system (AEGIS), developed for real-time population health monitoring in the state of Massachusetts. AEGIS provides public health personnel with automated near-real-time situational awareness of utilization patterns at participating healthcare institutions, supporting surveillance of bioterrorism and naturally occurring outbreaks. As real-time public health surveillance systems become integrated into regional and national surveillance initiatives, the challenges of scalability, robustness, and data security become increasingly prominent. A modular and fault tolerant design helps AEGIS achieve scalability and robustness, while a distributed storage model with local autonomy helps to minimize risk of unauthorized disclosure. The report includes a description of the evolution of the design over time in response to the challenges of a regional and national integration environment.<p /><p>Language: en</p>",
language="en",
issn="1067-5027",
doi="10.1197/jamia.M2342",
url="http://dx.doi.org/10.1197/jamia.M2342"
}