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Displaying results 17 - 24 of 26
  • 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 Performance of Sub-Syndrome Chief Complaint Classifiers for the GI and RESP Syndromes

    Content Type: Abstract

    The Centers for Disease Control and Prevention BioSense has developed chief complaint (CC) and ICD9 sub syndrome classifiers for the major syndromes for early event detection and situational awareness. The prevalence of these sub… read more
    … of a CC classifier. Methods: A retrospective study of ED visits at four New York State hospitals from May 1, 2005 to … PPV NPV Chest Pain 6.71% 0.56 0.99 0.77 0.97 Dyspnea 6.70% 0.48 0.98 0.62 0.96 Asthma 2.22% 0.45 0.99 0.67 0.99 … 1.00 Pleurisy 0.22% 0.02 1.00 0.22 1.00 Resp Failure 0.26% 0.00 1.00 0.08 1.00 Table 2 – Gastrointestinal …
  • Defining Clinical Condition Categories for Biosurveillance

    Content Type: Abstract

    The goal of this project is to create a set of clinical condition categories based on explicit criteria for use in biosurveillance programs. The categories will be defined and keywords and ICD-9-CM diagnosis codes for implementation will be proposed.
    … according to local preferences. However, this disparity may also hinder comparison of biosurveillance data from … nationally notifiable infectious diseases; 3) reasons for visit from CDC’s Hurricane Morbidity Report Form for Active …
  • The New York State BioSense Sentinel Alert Experience

    Content Type: Abstract

    In addition to monitoring Emergency Department chief complaint data and pharmacy sales as indicators of outbreaks, the New York State Department of Health (NYSDOH) Syndromic Surveillance System also monitors information from the… read more
    … monitors the BioSense website. From February through May 2005, all Sentinel Alerts reported on the BioSense … of system improvement. RESULTS From February through May 2005, 8 Sentinel Alerts were issued for NYS on the … mation: patient age, gender, coded patient ID and/or visit ID. Although all 8 alerts were determined to be “false …
  • 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 …
  • ICD-9 CM Based Sub-Syndrome Distributions in BioSense Hospital Data

    Content Type: Abstract

    Objective To examine sub-syndrome distributions among BioSense emergency department (ED) chief complaint and final diagnosis based data and to observe patterns by hospital system, age, and gender.
    … frequent ICD-9 CM based sub- syndromes. The proportion of visits contributing to the 20 most common ED chief complaint … us O pe n w ou nd M ot or v eh ic le tra ffi c U rin ar y tra ct in fe ct io n Fe ve r N au se a an d vo m iti ng S … analyses that combine data across age categories may mask potentially important sub-syndrome activity among …
  • 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 …
  • A Pilot Study of Aberration Detection Algorithms with Simulated Data

    Content Type: Abstract

    To evaluate four algorithms with varying baseline periods and adjustment for day of week for anomaly detection in syndromic surveillance data.   read more
    … for detecting anomalies in daily emergency depart- ment visit data for 130 hospitals with 6 syndrome categories. …