Displaying results 9 - 12 of 12
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Evaluation of Heat-related Illness Surveillance Based on Chief Complaint Data from New Jersey Hospital Emergency Rooms
Content Type: Abstract
The NJ syndromic surveillance system, EpiCenter, developed an algorithm to quantify HRI visits using chief complaint data. While heat advisories are released by the National Weather Service, an effective HRI algorithm could provide real-time health… read more… system, EpiCenter, developed an algorithm to quantify HRI visits using chief complaint data. While heat advisories are … system, EpiCenter, developed an algorithm to quantify HRI visits using chief complaint data. While heat advisories are … -
Using Ambulatory Syndromic Surveillance Data for Chronic Disease: A BMI Case Study
Content Type: Abstract
Syndromic surveillance is one of the meaningful use public health menu set objectives for eligible professionals. The value of this data for syndromic surveillance as an adjunct to the more widely adopted emergency department registrations has not… read more… registrations has not been studied extensively. It may be that it would improve the sensitivity or timeliness … of detecting certain communicable disease events, or it may just contain signals comparable to what is available via … practices. Thus data from eligible professionals may provide a means for monitoring chronic diseases, or … -
Identifying Clusters of Rare and Novel Words in Emergency Department Chief Complaints
Content Type: Abstract
A goal of biosurveillance is to identify incidents that require a public health response. The challenge is creating specific definitions of such incidents so they can be detected. In syndromic surveillance, this is accomplished by classifying… read more… data into categories, and then looking for increases in visits related to those categories. This approach can only … data into categories, and then looking for increases in visits related to those categories. This approach can only … -
Nonparametric Models for Identifying Gaps in Message Feeds
Content Type: Abstract
Timely and accurate syndromic surveillance depends on continuous data feeds from healthcare facilities. Typical outlier detection methodologies in syndromic surveillance compare predictions of counts for an interval to observed event counts, either… read more… a significant data burden. Timely detection of outages may require sub-hour aggregation, increasing this burden by … a significant data burden. Timely detection of outages may require sub-hour aggregation, increasing this burden by …