Displaying results 1 - 3 of 3
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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… the text-processing techniques alone and with addition of ESSENCE based ICD9 codes (VAMHCS 197) and clinical data … (91%,91%,16%). Combining text-processing methods with ESSENCE based ICD-9 codes or adding expectorant orders … -
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… models included “GI” ICD-9 code sets used in the “ESSENCE” and the “BioSense” syndromic surveillance systems. … on the index visit day of fever > 37.8ºC. RESULTS The ESSENCE and BioSense ICD-9 code sets detected 242 GI … -
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… the first stage, we used structured data and BioSense and ESSENCE ICD 9 codes on records during the study period …