AIMC Topic: United States Department of Veterans Affairs

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Does machine learning improve prediction of VA primary care reliance?

The American journal of managed care Jan 1, 2020
OBJECTIVES: The Veterans Affairs (VA) Health Care System is among the largest integrated health systems in the United States. Many VA enrollees are dual users of Medicare, and little research has examined methods to most accurately predict which vete...
Male Middle Aged Primary Health Care Female Aged Aged, 80 and over United States Department of Veterans Affairs Patient Acceptance of Health Care Veterans Health Services Logistic Models United States Medicare Humans Machine Learning Forecasting
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Measuring Exposure to Incarceration Using the Electronic Health Record.

Medical care Jun 1, 2019
BACKGROUND: Electronic health records (EHRs) are a rich source of health information; however social determinants of health, including incarceration, and how they impact health and health care disparities can be hard to extract.
Information Storage and Retrieval United States Department of Veterans Affairs Veterans Medicare Self Report Ethnicity Administrative Claims, Healthcare Prisoners Sensitivity and Specificity Male Middle Aged Cohort Studies United States Natural Language Processing Electronic Health Records Female Adult Humans
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Combining Natural Language Processing of Electronic Medical Notes With Administrative Data to Determine Racial/Ethnic Differences in the Disclosure and Documentation of Military Sexual Trauma in Veterans.

Medical care Jun 1, 2019
BACKGROUND: Despite national screening efforts, military sexual trauma (MST) is underreported. Little is known of racial/ethnic differences in MST reporting in the Veterans Health Administration (VHA).
Disclosure Retrospective Studies Female Humans United States Department of Veterans Affairs Veterans Sex Offenses Adult United States Male Natural Language Processing Middle Aged Documentation
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Measuring Use of Evidence Based Psychotherapy for Posttraumatic Stress Disorder in a Large National Healthcare System.

Administration and policy in mental health Jul 1, 2018
To derive a method of identifying use of evidence-based psychotherapy (EBP) for post-traumatic stress disorder (PTSD), we used clinical note text from national Veterans Health Administration (VHA) medical records. Using natural language processing, w...
Implosive Therapy Psychotherapy, Group Humans Psychotherapy Stress Disorders, Post-Traumatic Machine Learning Evidence-Based Medicine United States Department of Veterans Affairs United States Algorithms Cognitive Behavioral Therapy Veterans Retrospective Studies Natural Language Processing Family Therapy
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Comparison of Grouping Methods for Template Extraction from VA Medical Record Text.

Studies in health technology and informatics Jan 1, 2017
We investigate options for grouping templates for the purpose of template identification and extraction from electronic medical records. We sampled a corpus of 1000 documents originating from Veterans Health Administration (VA) electronic medical rec...
Electronic Health Records United States Natural Language Processing United States Department of Veterans Affairs Veterans Algorithms
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Determining Multiple Sclerosis Phenotype from Electronic Medical Records.

Journal of managed care & specialty pharmacy Dec 1, 2016
BACKGROUND: Multiple sclerosis (MS), a central nervous system disease in which nerve signals are disrupted by scarring and demyelination, is classified into phenotypes depending on the patterns of cognitive or physical impairment progression: relapsi...
Humans International Classification of Diseases United States Department of Veterans Affairs Male United States Phenotype Middle Aged Natural Language Processing Cohort Studies Electronic Health Records Multiple Sclerosis Female
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Validation of Case Finding Algorithms for Hepatocellular Cancer From Administrative Data and Electronic Health Records Using Natural Language Processing.

Medical care Feb 1, 2016
BACKGROUND: Accurate identification of hepatocellular cancer (HCC) cases from automated data is needed for efficient and valid quality improvement initiatives and research. We validated HCC International Classification of Diseases, 9th Revision (ICD-...
International Classification of Diseases United States Department of Veterans Affairs Socioeconomic Factors Natural Language Processing Information Storage and Retrieval Databases, Factual Aged Middle Aged Humans Electronic Health Records Sensitivity and Specificity Liver Neoplasms Algorithms Female Male United States
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