Marjorie Carter

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BACKGROUND Identifying respiratory pathogens within populations is difficult because invasive sample collection, such as with nasopharyngeal aspirate (NPA), is generally required. PCR technology could allow for non-invasive sampling methods. OBJECTIVE Evaluate the utility of non-invasive sample collection using anterior nare swabs and facial tissues for(More)
Researchers at the U.S. Department of Veterans Affairs (VA) have used administrative criteria to identify homelessness among U.S. Veterans. Our objective was to explore the use of these codes in VA health care facilities. We examined VA health records (2002-2012) of Veterans recently separated from the military and identified as homeless using VA(More)
Misconduct-related separations from the military are associated with subsequent adverse civilian outcomes that are of substantial public health concern. 1 We investigated the association between misconduct-related separations and home-lessness among recently returned active-duty military service members. Methods | We analyzed Veterans Health Administration(More)
Templated boilerplate structures pose challenges to natural language processing (NLP) tools used for information extraction (IE). Routine error analyses while performing an IE task using Veterans Affairs (VA) medical records identified templates as an important cause of false positives. The baseline NLP pipeline (V3NLP) was adapted to recognize negation,(More)
INTRODUCTION This article is part of the Focus Theme of Methods of Information in Medicine on "Big Data and Analytics in Healthcare". OBJECTIVES This paper describes the scale-up efforts at the VA Salt Lake City Health Care System to address processing large corpora of clinical notes through a natural language processing (NLP) pipeline. The use case(More)
CONTEXT During public health emergencies, office-based frontline clinicians are critical partners in the detection, treatment, and control of disease. Communication between public health authorities and frontline clinicians is critical, yet public health agencies, medical societies, and healthcare delivery organizations have all called for improvements. (More)
Patients report their symptoms and subjective experiences in their own words. These expressions may be clinically meaningful yet are difficult to capture using automated methods. We annotated subjective symptom expressions in 750 clinical notes from the Veterans Affairs EHR. Within each document, subjective symptom expressions were compared to mentions of(More)
OBJECTIVE To develop algorithms to improve efficiency of patient phenotyping using natural language processing (NLP) on text data. Of a large number of note titles available in our database, we sought to determine those with highest yield and precision for psychosocial concepts. MATERIALS AND METHODS From a database of over 1 billion documents from US(More)
reproduction in any medium, provided the original work is properly cited. Objective To highlight the importance of templates in extracting surveillance data from the free text of electronic medical records using natural language processing (NLP) techniques. Introduction The main stay of recording patient data is the free text of electronic medical records(More)