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Displaying results 9 - 16 of 18
  • BioSense Platform Data Flow - Part 3 - Legacy Data Conversion and Transition Plan

    Content Type: Webinar

    The National Syndromic Surveillance Program (NSSP) is conducting a three-part webinar series to describe how data will flow to the BioSense Platform. This comprehensive series explores how data are ingested into the BioSense Platform and ESSENCE… read more
    … General Hospital is a shared facility between sites X and Y o  Site X is the designated steward of General Hospital o  … 49 50 51 52 22 -J ul 29 -J ul 5- Au g 12 -A ug 19 -A ug 26 -A ug 2- Se p 9- Se p 16 -S ep 23 -S ep 30 -S ep 7- O ct … Telephone: 1-800-CDC-INFO (232-4636)/TTY: 1-888-232-6348 Visit: hQp://www.cdc.gov | Contact CDC at: 1-800-CDC-INFO or …
  • Syndromic Prediction Power: Comparing Covariates and Baselines

    Content Type: Abstract

    The eleven syndrome classifications for clinical data records monitored by BioSense include rare events such as death or lymphadenitis and also common occurrences such as respiratory infections. BioSense currently uses two statistical methods for… read more
    … models: day-of-week, holiday, total daily health facility visits, and a trend variable (date). Models using different … were computed for syndromic counts of lymphadenitis visits, to represent rare syndromes, respiratory visits, to represent common syndromes, and gastrointestinal …
  • NSSP’s Master Facility Table (MFT) Module Overview

    Content Type: Webinar

    Presented July 25, 2018. The NSSP team is excited to share our progress towards adding the Master Facility Table (MFT) as a module to the BioSense Platform’s Access and Management Center, or AMC. The addition of the MFT module gives you, as a… read more
    … identify the specific “doctor office” associated with a visit) Introduction to Associated Facilities  Primary … 1 123 New ED Onboarding Emergency Care Complete Y Operational Crosswalk C_BioSense_Facility_ID Input …
  • Geographic Categorization Methods Used in BioSense

    Content Type: Abstract

    BioSense is a CDC initiative to promote situational awareness through summarizing, analyzing, and presenting health related event information. Among the data sources collected and analyzed through the BioSense application are the Department of… read more
    … of DoD data based on the zip code of the health facility visited and the VA data based on the patient residence zip … facility based on the alternate stan- dard deviation. Visits with a mileage less than or equal to the maximum …
  • Identifying Fractures in BioSense Radiology Reports

    Content Type: Abstract

    The purposes of this study are to validate a keyword-based text parsing algorithm for identifying fractures and compare radiology results with chief complaint and ICD-9 final diagnoses.
    … and pharmeutical receipt. METHODS We studied 17,647 visits with an extremity film and final ICD-9 coded … we applied the text parsing algorithm to all 17,647 visits with a text radiography reading. Of these, 73% were … good agreement with discharge ICD-9 codes; disagreements may have occurred because of inaccuracies in the text …
  • BioSense Real-Time Data Initiative: Improving Emergency Preparedness- Monitoring Injury Sub-Syndromes

    Content Type: Abstract

    Analysis of the BioSense data facilitates the identification, tracking, and management of emergent and routine health events, including potential bioterrorism events, injury related incidents and rapidly spreading naturally occurring events (1).… read more
    … ings, sprains & strains). RESULTS A total of 8,342,336 visits were recorded in the ED Chief Complaint category into … s, an im al Fractu res an d d isl oc ati on Pois onin g b y m ed icin es Spra ins and st rai ns Burn s Hea t, e xc es … Awareness System. MMWR Morb Mortal Wkly Rep. 2005 Aug 26;54 Suppl:11-9. [3] Sokolow LZ, Grady N, Rolka H, Walker …
  • The Predictive Accuracy of Non-Regression Data Analysis Methods

    Content Type: Abstract

    Analysis of time series data requires accurate calculation of a predicted value. Non-regression methods such as the Early Aberration Reporting System CuSum are computationally simple, but most do not adjust for day of week… read more
    … days were analyzed at 75 (56 VA and 19 DoD) Texas and 26 (19 VA and 17 DoD) Virginia facilities. The mean observed … for cluster detection, adjustment for total number of visits, and assessment using other data sources and events. Non-regression methods may be a valuable component of a multi-method data analysis …
  • Clostridium Difficile, Surveillance Using Laboratory Data from BioSense Hospitals

    Content Type: Abstract

    To determine the feasibility of using BioSense laboratory data to do surveillance on Clostridium difficile infection (CDI) and calculate overall and facility rates of disease.
    … outpatient), admission and discharge dates, and visit denominator data for rate calculations. A patient was …