TY  - JOUR
PY  - 2007//
TI  - AEGIS: a robust and scalable real-time public health surveillance system
JO  - Journal of the American Medical Informatics Association
A1  - Reis, Ben Y.
A1  - Kirby, Chaim
A1  - Hadden, Lucy E.
A1  - Olson, Karen
A1  - McMurry, Andrew J.
A1  - Daniel, James B.
A1  - Mandl, Kenneth D.
SP  - 581
EP  - 588
VL  - 14
IS  - 5
N2  - 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>
LA  - en
SN  - 1067-5027
UR  - http://dx.doi.org/10.1197/jamia.M2342
ID  - ref1
ER  -