Use of automated ambulatory-care encounter records for detection of acute illness clusters, including potential bioterrorism events.
The advent of domestic bioterrorism has emphasized the need for enhanced detection of clusters of acute illness. We describe a monitoring system operational in eastern Massachusetts, based on diagnoses obtained from electronic records of ambulatory-care encounters. Within 24 hours, ambulatory and telephone encounters recording patients with diagnoses of interest are identified and merged into major syndrome groups. Counts of new episodes of illness, rates calculated from health insurance records, and estimates of the probability of observing at least this number of new episodes are reported for syndrome surveillance. Census tracts with unusually large counts are identified by comparing observed with expected syndrome frequencies. During 1996-1999, weekly counts of new cases of lower respiratory syndrome were highly correlated with weekly hospital admissions. This system complements emergency room- and hospital-based surveillance by adding the capacity to rapidly identify clusters of illness, including potential bioterrorism events.
Lazarus
Ross
R
Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA. rerla@channing.harvard.edu
Kleinman
Ken
K
Dashevsky
Inna
I
Adams
Courtney
C
Kludt
Patricia
P
DeMaria
Alfred
A
Platt
Richard
R
D000208:Acute Disease / Q000453:epidemiology; D000553:Ambulatory Care / Q000706:statistics & numerical data*; D023482:Bioterrorism / Q000706:statistics & numerical data*; D016000:Cluster Analysis; D004196:Disease Outbreaks / Q000706:statistics & numerical data*; D006801:Humans; D008404:Massachusetts / Q000453:epidemiology; D008491:Medical Informatics Applications; D016347:Medical Records Systems, Computerized; D011159:Population Surveillance / Q000379:methods*; D015203:Reproducibility of Results; D012141:Respiratory Tract Infections / Q000453:epidemiology