Identification

Author

Reis BY, Kirby C, Hadden LE, Olson K, McMurry AJ, et al.

Title

AEGIS: A robust and scalable real-time public health surveillance system

Year

2007

Publication type

Article

Journal

Journal of the American Medical Informatics Association

Created

2012-09-26 22:24:24+00:00

Modified

2016-07-25 16:11:24.502018+00:00

Details

Volume

14

Number

5

Access

Language

English

URL http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1975800/
DOI

10.1197/jamia.M2342

Accessed

2016-06-06

Extended information

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.