AIMC Topic: Veterans

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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).
United States Natural Language Processing Middle Aged Veterans Sex Offenses United States Department of Veterans Affairs Documentation Female Male Disclosure Adult Humans Retrospective Studies
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Effect of reducing assistance during robot-assisted gait training on step length asymmetry in patients with hemiplegic stroke: A randomized controlled pilot trial.

Medicine Aug 1, 2018
BACKGROUND: An assist-as-needed robot-assisted gait training protocol was recently developed. It allows active movement during training, but its exact criteria remain unknown. Asymmetric step length is a common abnormal gait pattern in hemiplegic str...
Veterans Ankle Joint Exercise Therapy Stroke Rehabilitation Gait Disorders, Neurologic Hemiplegia Walking Speed Robotics Gait Stroke Treatment Outcome Chronic Disease Middle Aged Prospective Studies Humans Biomechanical Phenomena Aged
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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...
Veterans Machine Learning Implosive Therapy Stress Disorders, Post-Traumatic Cognitive Behavioral Therapy Algorithms Humans Retrospective Studies United States Family Therapy Psychotherapy Psychotherapy, Group Evidence-Based Medicine Natural Language Processing United States Department of Veterans Affairs
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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 Veterans Natural Language Processing United States Department of Veterans Affairs United States Algorithms
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