Patent ID: 11868424
Assignee: BECTON, DICKINSON AND COMPANY
Field: Computer technology (Electrical engineering)
Classification: CPC G  Y | IPC G

Claim 0:
1. A rapid syndrome analysis system comprising:
a first computer connected to a network, wherein the first computer comprises a first computer readable medium with instructions for:
receiving syndromatic surveillance data for a plurality of past time blocks and a current time block from a plurality of computer devices over the network, wherein the syndromatic surveillance data includes comprises observed syndromes of a plurality of patients that collectively visited a plurality of medical healthcare facilities at different geographic locations during the past and current time blocks;
generating count data for a plurality of the observed syndromes;
generating, for each of a plurality of moving baseline intervals for each of the plurality of observed syndromes, a trimmed moving weighted means and sigma of the corresponding count data for the past time blocks within that moving baseline interval;
generating, for each of the plurality of the observed syndromes, a plurality of cumulative sums (CUSUMs) using (1) the corresponding count data for the plurality of past time blocks and the current time block and (2) the corresponding trimmed moving weighted means and sigmas; and
generating, for each of the plurality of the observed syndromes, one or more flag signals when a magnitude of one or more of the corresponding CUSUMs exceeds a magnitude of one or more predetermined threshold values within a first set of threshold values stored on the first computer readable medium; and
generating, for each of the plurality of the observed syndromes, an indication of a seriousness or an unusualness of a disease outbreak based on the one or more corresponding flag signals; and

a second computer connected to the network, wherein the second computer comprises a second computer readable medium with instructions for:
receiving one of the generated indications from the first computer over the network; and
providing a user with a visual cue corresponding to the one of the generated indications, wherein the visual cue is selected from a finite set of visual cues, and wherein each visual cue within the finite set of visual cues is associated with a different weight of seriousness or unusualness of a disease outbreak.