Displaying results 1 - 3 of 3
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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… MSc3, Matthew H Samore, MD 1 1VA Salt Lake City Health Care system and the Department of Medicine, University of … METHODS We randomly sampled 15,377 of 253,818 outpatient visits to the VA Maryland Health Care system (VAMHCS) and … Additionally, we searched for documentation on the index visit day of fever > 37.8ºC. RESULTS The ESSENCE and … -
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… MSc5,Matthew H. Samore, MD1,2,6 1VA Salt Lake City Health Care System, 2 Internal Medicine, University of Utah School … Pittsburgh, Pittsburgh, Pennsylvania, 4VA Maryland Health Care System and University of Maryland School of Medicine, … -
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… MSc4, Matthew H Samore, MD 1 1VA Salt Lake City Health Care system and the Department of Medicine, University of … Bloomberg School of Public Health, 3VA Maryland Health Care System and University of Maryland, School of Medicine, … 15,377 outpatient encounters from the VA Maryland Health Care system (VAMHCS) and VA Salt Lake City Health Care …