Detecting potential bio-events in their earliest stages of development, BioSentinel aids in the saving of lives by providing ongoing monitoring, proactive and geographically pinpointed early warning among public health professionals, first responders, doctors, hospitals and others in the medical community.
BioSentinel® provides:
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Rapid and geographically pinpointed identification of emerging bio-events with "drill-down" functionality to particular emerging symptom activity detail. |
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Proactive and coordinated notification of appropriate local, state and national healthcare and emergency response entities. |
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Accelerated epidemiological assessment through detailed, geographically specific symptom profiling. |
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Near "real-time" assessment of intervention or containment effectiveness in the event of an actual wide scale outbreak. |
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Bi-directional integration capabilities with other public-sector and homeland security systems. |
Unlike other syndromic surveillance solutions built entirely on GIS applications (such as ERSI's, Arc-IMS tool), BioSentinel
combines GIS-based data interaction and visualization creating robust application functionality. The benefit is that
BioSentinel is free from the usual functional restrictions of any particular GIS tool/engine and can take full advantage of the
wide range of available application development tools/resources to produce superior application functionality and greater
benefits to end user.
Since inception, BioSentinel Solutions has continually innovated the art and science of Retail Data Biosurveillance. Some highlights include:
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 Activity Summary: All emerging activity within a user's jurisdiction is summarized and stack ranked according to specific emerging symptom group. Breached alert levels within the jurisdiction are also summarized within the Activity Summary window.
 Alert Tree: Emerging activity is organized by city, county, emerging symptom identification, and number of area incidences.
 GIS data visualization: Specific areas where elevated activity is detected are identified in yellow (Level 1-symptom emergence), orange (Level 2-above normal) and red (Level 3-warrants attention [none showing on map]). Via the BioSentinel GIS engine, users have a full range of map navigation and interactivity options.
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User Interaction: Upon selecting a particular emerging symptom group from within the Alert Tree window, BioSentinel automatically identifies the affected area on the map (2) and compiles the applicable EpiTrends™ chart (3).
The area of the selected emerging symptom group is highlighted, differentiating it from other surrounding emerging activity.
EpiTrends™ Charting: Simultaneously, BioSentinel builds the temporal trend chart for the selected emerging symptom group, showing the historic trend development for the particular symptom.
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 Selecting specific emerging symptom groups from the Alert Tree is not the only way users are able to quickly identify emerging activity. Users may also choose to "hover" with their mouse over a particular area of interest, instantaneously revealing the specific emerging symptom activity. With a double-click of the mouse, BioSentinel automatically compiles the associated EpiTrends chart (3).
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 BioSentinel's unique EpiTrends charts identify the trend history of specific activity and overlays five critical pieces of information.
1. The blue bars represent the range of normal activity pertaining to, in this example, Cough Suppressants (the particular emerging symptom group). The height of the blue bar reflects the calculated upper limit (top) and lower limit (bottom) of daily "normal" activity. By presenting what "normal" is, this element of the graph provides the user with the necessary specific context to view trend activity.
2. The black line represents the actual normalized incidents for the particular emerging symptom group. When viewed in conjunction with the blue bars, users are able to immediately see if activity is below, within, or above expected "normal" ranges.
3. The yellow line represents the calculated breach threshold for "Level 1" alerts.
4. The orange line represents the calculated breach threshold for "Level 2" alerts.
5. The red line represents the calculated breach threshold for "Level 3" alerts.
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EpiCluster™ Identification: Also via the Alert Tree, users are able to identify clusters of symptoms that span a particular geographic area. This provides a perspective on the geographic scope of a particular emerging symptom.
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BioSentinel's B.E.E.M.™."Radar" is a first of its kind Bio-Event Emergence Monitor. This area of functionality allows users to select a particular emerging symptom group of interest and view a time-lapse animation of the emergence, migration and dissipation of symptom activity across a specific geographic area. In a very real sense, this is the Doppler radar of public health monitoring.
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Patent Notice | Trademark Notice
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