Natural Language Processing System

Prospective validation of a machine learning model that uses provider notes to identify candidates for resective epilepsy surgery.

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Investigation of bias in an epilepsy machine learning algorithm trained on physician notes.

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How often do prescribers include indications in drug orders? Analysis of 4 million outpatient prescriptions.

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Exploration and initial development of text classification models to identify health information technology usability-related patient safety event reports.

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Detecting clinically relevant new information in clinical notes across specialties and settings.

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Usability evaluation of NLP-PIER: a clinical document search engine for researchers.

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Health Information Technology in Heart Failure Care - Final Report

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Encoding and Processing Patient Allergy Information in EHRs - Final Report

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Drug hypersensitivity reactions documented in electronic health records within a large health system.

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Identifying electronic health record usability and safety challenges in pediatric settings.

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