Leonard W. D’Avolio

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To improve methods of estimating use of evidence-based psychotherapy for posttraumatic stress disorder in the Veteran’s health administration, we evaluated administrative data and note text for patients newly enrolling in six VHA outpatient PTSD clinics in New England during the 2010 fiscal year (n = 1,924). Using natural language processing, we developed(More)
Background Clinical trials are widely considered the gold standard in comparative effectiveness research (CER) but the high cost and complexity of traditional trials and concerns about generalizability to broad patient populations and general clinical practice limit their appeal. Unsuccessful implementation of CER results limits the value of even the(More)
We examined the relationship between height and prostate cancer grade. The Early Stage Prostate Cancer Cohort Study is an observational cohort of 1,037 men diagnosed with early-stage prostate cancer, T0–3NxM0. High-grade prostate cancer was defined as a biopsy Gleason score ≥ 7 (4 + 3). Logistic regression models were created to calculate odds ratios (OR)(More)
Objectives: The College of American Pathologists (CAP) Category 1 quality measures, tumor stage, Gleason score, and surgical margin status, are used by physicians and cancer registrars to categorize patients into groups for clinical trials and treatment planning. This study was conducted to evaluate the effectiveness of an application designed to(More)
Introduction Information about disease severity could help with both detection and situational awareness during outbreaks of acute respiratory infections (ARI). In this work, we use data from the EMR to identify patients with pneumonia, a key landmark of ARI severity. We asked if computerized analysis of the free-text of clinical notes or imaging reports(More)
Differentiating surveillance from non-surveillance colonoscopy for colorectal cancer in patients with inflammatory bowel disease (IBD) using electronic medical records (EMR) is important for practice improvement and research purposes, but diagnosis code algorithms are lacking. The automated retrieval console (ARC) is natural language processing (NLP)-based(More)
Traditional models of clinical discovery, science, and care have led to an unfortunate gap between the amount of resources invested and the return on that investment. The limitations of traditional models have become even more apparent with the explosion of biological data thanks to lower cost high throughput sequencing. MAVERIC is a Research and(More)
There is great potential in the utilization of existing clinical data to assist in decision support, epidemiology, and information retrieval. As we transition from evaluating systems’ abilities to accurately capture the information in the record, to the clinical application of results, we must incorporate the contextual influences that affect such efforts.(More)
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