Displaying results 1 - 8 of 15
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Automated Detection of GI Syndrome using Structured and Non-Structured Data from the VA EMR
Content Type: Abstract
Objective We performed a gold-standard manual chart review for gastro-intestinal syndrome to evaluate automated detection models based on both structured and non-structured data extracted from the VA … read more -
Automated Surveillance To Detect An Influenza Epidemic: Which Respiratory Syndrome Should We Monitor?
Content Type: Abstract
OBJECTIVE Syndromic surveillance systems (SSS) seek early detection of infectious diseases outbreaks by focusing on pre-diagnostic symptoms. We do not yet know which respiratory syndrome should be monitored for a SSS to discover… read more -
Detection of a Vaccine-preventable Reportable Disease: Comparison of Physician Reporting vs. an Electronic Syndromic Surveillance System
Content Type: Abstract
Communicable diseases are underreported by physicians, especially diseases without laboratory tests. The goals of our study were to determine reporting levels for clinical chickenpox, describe clinical data elements common to chickenpox, and assess… read more -
Computerized Text Analysis to Enhance Automated Pneumonia Detection
Content Type: Abstract
Information about disease severity could help with both detection and situational awareness during outbreaks of acute respiratory infections (ARI). In this work, we use data from the EMR to identify patients with pneumonia, a key landmark of ARI… read more -
Automated Surveillance of Outpatients with Pneumonia: A Performance Evaluation
Content Type: Abstract
Effective responses to epidemics of infectious diseases hinge not only on early outbreak detection, but also on an assessment of disease severity. In recent work, we combined previously developed ARI case-detection algorithms (CDA) [1] with text… read more -
Clinical decision support at the time of an e-prescription can sustainably decrease unwarranted use of antibiotics for acute respiratory infections
Content Type: Abstract
Microorganisms resistant to antibiotics (ABX) increase the mortality, morbidity and costs of infections. In the absence of a drug development pipeline that can keep pace with the emerging resistancemechanisms, these organisms are expected… read more -
Text-Processing of VA Clinical Notes to Improve Case Detection Models for Influenza-like Illness
Content Type: Abstract
Objective There were two objectives of this analysis. First, apply text-processing methods to free-text clinician notes extracted from the VA electronic medical record for automated detection of Influenza-Like-Illness. Secondly,… read more -
Using Biosurveillance Whole-System Facsimiles To Compare Aberrancy-Detection Methods: Should BioSense Use SatScan?
Content Type: Abstract
OBJECTIVE A “whole-system facsimile” recreates a complex automated biosurveillance system running prospectively on real historical datasets. We systematized this approach to compare the performance of otherwise… read more