Displaying results 1 - 7 of 7
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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… investigators. Natural language processing (NLP) systems may be able to assist in identifying epidemiological … to assist public health investigators. NLP systems may be able to assist in identifying epidemiological … asking us to assist them in identifying patients that may have been ill from respiratory illnesses circulating in … -
Reducing the Delay in Detecting an Influenza Epidemic with More Sensitive Case Detection Algorithms
Content Type: Abstract
Measures aimed at controlling epidemics of infectious diseases critically benefit from early outbreak recognition [1]. SSS seek early detection by focusing on pre-diagnostic symptoms that by themselves may not alarm clinicians. We have previously… read more… by focusing on pre-diagnostic symptoms that by themselves may not alarm clinicians. We have previously determined the … by focusing on pre-diagnostic symptoms that by themselves may not alarm clinicians. We have previously determined the … et ec tio n D el ay (d ay s) Figure 1 – Detection delays (y-axis) as a function of Case Detector algorithms (x-axis). … -
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… on intake. 37% had varicella vaccine at a prior clinic visit. Chief complaints included rash (62%), chickenpox … (3%). 81% were prescribed medications during their visit, including dyphenhydramine or hydroxyzine (43%), … the time period BioSense was utilized, 16/23 cases (70%) were detected as part of the rash syndrome. … -
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… METHODS We randomly sampled 15,377 of 253,818 outpatient visits to the VA Maryland Health Care system (VAMHCS) and … The NegEx algorithm for text-processing detected 2,338 visits with non-negated vomiting or diarrhea or abdominal pain. Altogether, 43 visits met the GI clinical case definition on the basis of … -
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… response in these communities. Results Site visits to NYC, Boston, and Baltimore were conducted over 2 … redefines itself for the next 5 years1, additional value may be derived from stronger relationships with data … Public Health Links; 2008.http://www.healthdatamanagement.com/ news/NHIN25932-1.html Advances in Disease Surveillance … -
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… strong correlation with local influenza cases and ED ILI visits, providing first time evidence of its utility for … ehtj11115 ehtj11120 ehtj11024 ehtj11060 ehtj11110 26-50 ehtj11034 ehtj11198 ehtj11174 ehtj11048 ehtj11154 … -
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… electronic note documents. False positive extractions may be due to concepts in the text being assigned to the …