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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
    … are expected to threaten public health for years to come. Because exposure to ABX promotes the development of … are expected to threaten public health for years to come. Because exposure to ABX promotes the development of … et al.; licensee Emerging Health Threats Journal. www.eht-journal.org 19 (Figure, upper panel). The CDS did …
  • 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 …
  • 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
    … notes brings information about disease symptoms that com- plements and enhances detection. Abstract 4: Can NLP be …
  • 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
    … Language Processing system developed for automated symp- tom extraction. Our overarching goal is to characterize the … South et al.; licensee Emerging Health Threats Journal. www.eht-journal.org 64 unknown syndromes of interest to … Health Threats Journal BR South et al. 2011, 4:s115 www.eht-journal.org page 2/2 65 …
  • Development of public health communication tools using open source methods

    Content Type: Abstract

    Secure and confidential exchange of information is the cornerstone of public health practice. Often, this exchange has to occur between public health agencies across jurisdictions. Examples include notification of reportable diseases… read more
    … J Reid et al.; licensee Emerging Health Threats Journal. www.eht-journal.org 61 Conclusions An integrated suite of … December 2010. Reference 1 Program demonstration. http://www.rockymountaincoe.org/phaccess. Public health … Health Threats Journal J Reid et al. 2011, 4:s161 www.eht-journal.org page 2/2 62 …
  • 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 …