Displaying results 1 - 8 of 8
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Stakeholder Perspectives of Biosurveillance: a Qualitative Analysis
Content Type: Abstract
For more than a decade, biosurveillance systems (and more recently BioSense) have been employed in the United States. Efforts to drastically expand these surveillance capacities have been a national priority given concerns … read more… Management. Feds Fund Public Health Links; 2008.http://www.healthdatamanagement.com/ news/NHIN25932-1.html Advances in Disease Surveillance … -
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… yet retained a sensitivity of 69-100% (Models 4 and 6). Com pared to the “respiratory” ICD-9 codeset used by CDC’s … -
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… system that provides care to over 25% of Denver, CO. All outpatient clinic visits with ICD-9 chickenpox codes … -
Using NLP on VA Electronic Medical Records to Facilitate Epidemiologic Case Investigations
Content Type: Abstract
A major goal of biosurveillance is the timely detection of an infectious disease outbreak. Once a disease has been identified, another very important goal is to find all known cases of the disease to assist public health… read more… to structured data sources. References 1. Chapman WW, Bridewell W, Hanbury P, Cooper GF, Buchanan BG. A simple … -
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… elements relevant to GI syndrome. REFERENCES 1. Chapman WW, Bridewell W, Hanbury P, Cooper GF, Buchanan BG. A simple … -
Identifying Contextual Features to Improve the Performance of an Influenza-Like Illness Text Classifier
Content Type: Abstract
To understand the types of false positive cases identified by an Influenza-like illness (ILI) text classifier by measuring the prevalence of ILI-related concepts that are negated, hypothetical, include explicit mention of temporality, experienced by… read more… http://umlsks.nlm.nih.gov, 2007(Version 5.0). 2. Chapman WW, et.al. A simple algorithm for identifying negated … -
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… for detection of ILI cases. REFERENCES 1. Chapman WW, Bridewell W, Hanbury P, Cooper GF, Buchanan BG. A simple … -
Google Flu Trends: Correlation with Emergency Department Influenza Rates and Crowding Metrics
Content Type: Abstract
Emergency Departments (ED) supply critical infrastructure to provide medical care in the event of a disaster or disease outbreak, including seasonal and pandemic influenza [1]. Already over-crowded and stretched to near-capacity, influenza activity… read more… Med. 2006;48:115�20. 2. Glaser CA, Gilliam S, Thompson WW, Dassey DE, Waterman SH, Saruwatari M, et al. Medical …