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J Am Med Inform Assoc. 2007 Sep-Oct;14(5):581-8. Epub 2007 Jun 28.

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

Author information

1
Children's Hospital Informatics Program at the Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA. reis@mit.edu

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.

PMID:
17600100
PMCID:
PMC1975800
DOI:
10.1197/jamia.M2342
[Indexed for MEDLINE]
Free PMC Article

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