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Displaying results 377 - 384 of 704
  • Assessing and Optimizing the Accuracy of Physician Billing Claims for Use in Automated Syndromic Surveillance

    Content Type: Abstract

    To assess the accuracy of community-based physician claims for identifying 5 syndromes: fever, gastrointestinal, neurological, rash, and respiratory.
    … status (+/-), syn- drome type, syndrome ICD-9 code, and visit month (to avoid seasonal bias). The RAMQ then sent the … patient complaints, symptoms, and signs for each sampled visit. The sensitivity, specific- ity, and positive …
  • BioSense Participation by Non-Federal Hospitals

    Content Type: Abstract

    BioSense is a national program designed to improve the nation’s capabilities for conducting disease detection, monitoring, and real-time situational awareness. Currently, BioSense receives near real-time data from non-federal hospitals, as well as… read more
    … in the Bio- Sense program send emergency department visit in- formation, in addition to these data approximately … total number of outpatient visits, 87% had a reason for visit, 33% a working diagnosis, and 53% a final diagnosis. …
  • Incorporating Wildlife Data into Syndromic Surveillance

    Content Type: Abstract

    The North Carolina Bioterrorism and Emerging Infection Prevention System (NC BEIPS) serves public health users across North Carolina at the local, regional and state levels, providing syndromic surveillance capabilities.  At the state level,… read more
    … The PWC defines 8 syndromes and assigns each patient visit to none, one or as many syndromes as are appropriate … The PWC is currently assigning syndromes to each visit where appropriate but are not yet providing that …
  • Monitoring Hospital Emergency Department Visits for Chief Complaints of Insect Bites after a Major Flood

    Content Type: Abstract

    On August 20th and 21st, 2007, Ohio sustained heavy rains which resulted in severe flooding over a nine-county area in the north-central part of the state. Increased hospital emergency department (ED) visits were expected for gastrointestinal… read more
    … confirm the report. METHODS Emergency department (ED) visit data, including chief complaints (CC), were downloaded … Analysis of character-specific phrases in hospital ED visit data likely has applicability to monitoring other …
  • Klompas et al. Respond: Automated Public Health Reporting-- Possible with a Coalition of the Willing

    Content Type: Abstract

    Professor Hripcsak rightly points out some of the challenges inherent in disseminating and sustaining robust information systems to automate the detection and reporting of notifiable diseases using data from electronic medical records (EMR). New… read more
    … identification and notification is a salient re- minder that sophisticated technology alone is not enough to … working on enabling ESP to send clinical messages back into the secured clinical inter- face of the EMR. In …
  • Evaluation of the Rhode Island Real-Time Outbreak and Disease Surveillance (RI RODS) System: Disparate Data

    Content Type: Abstract

    Rhode Island implemented the Real-time Outbreak and Disease Surveillance (RODS) system, developed in 1999 by the University of Pittsburgh’s Center for Biomedical Informatics. This system is based on real-time information from… read more
    … were reported to RI RODS in May – August 2006. Each visit was assigned to a CDCWG syndrome based on first-listed … electronic ICD-9-CM diagnosis was quantified for each ED visit during the study period. RESULTS Although specificity …
  • Surveillance triggers for community-based mitigation of pandemic influenza

    Content Type: Abstract

    Four waves of pandemic influenza from 1918-1920 in New York City caused ~40,000 deaths, primarily of young-adults and children. The explosiveness of the autumn 1918 wave has led many to believe that in the event of a similar… read more
    … and a conservative assumption of a ~5:1 excess ED visit to death ratio, we estimate that community-wide … based on 1-wk illness to death lag and ~5:1 excess ED visit/deaths1918. Red squares indicate %cAR for week of …
  • How Bad Is It? Using Biosurveillance Data to Monitor the Severity of Seasonal Flu

    Content Type: Abstract

    We sought to evaluate the validity of pneumonia and influenza hospitalizations (PI) data gathered by our biosurveillance system.
    … we collect include hospital name, date and time of visit, date of discharge, age, sex, home zip code, chief … was intubated or was in the ICU, and a patient and visit key. Data are transmitted daily, but due to delays in …