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Displaying results 1 - 8 of 9
  • 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
    … ARI symptoms)) to EMR entries surrounding all outpatient visits (n!4.1 million) during our study period (January … antibiotics pre- scribed when indicated for ARI (68–70% of all ABX at both sites, pre and post, lower panel). … S, South BR, Anthony J, Kalp E, Gundlapalli A, Curriero FC, et al. Combining free text and structured electronic …
  • Using clinician mental models to guide annotation of medically unexplained symptoms and syndromes found in VA clinical documents

    Content Type: Abstract

    Medically unexplained syndromes (MUS) are conditions that are diagnosed on the basis of symptom constellations and are characterized by a lack of well-defined pathogenic pathways. The three most common MUS are chronic fatigue … read more
    … Medically unexplained syndromes (MUS) are conditions that are diagnosed on the basis of … well-defined pathogenic pathways. The three most common MUS are chronic fatigue syndrome, irritable bowel syndrome, … Patients often meet the criteria for more than one MUS.   Objectives We sought to develop a guideline and …
  • Pilot Evaluation of Syndrome-specific School Absenteeism Data for Public Health Surveillance

    Content Type: Abstract

    School absenteeism data could be used as an early indicator for disease outbreaks. The increase in absences, however, may be driven by non-sickness related factors. Reason for absence combined with syndrome-specific information… read more
    … for disease outbreaks. The increase in absences, however, may be driven by non-sickness related factors. Reason for … disease outbreaks1, 2. The increase in absences, however, may be driven by non-sickness related factors. Reason for … for 38% of the sick absences, followed by unknown (26%), GI (18%), respiratory (16%), and rash (0.6%). There …
  • 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). …
  • 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 …
  • Natural Language Processing: Can it Help Detect Cases and Characterize Outbreaks?

    Content Type: Abstract

    Objective To demonstrate how natural language processing (NLP) of clinical records can contribute to case detection and characterization in biosurveillance. read more
    … DESCRIPTION Information described in clinical reports may be use- ful for biosurveillance but is locked in … notes brings information about disease symptoms that com- plements and enhances detection. Abstract 4: Can NLP be …
  • 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 …