Natural Language Processing System

Impact of patient reminders on papanicolaou test completion for high-risk patients identified by a clinical decision support system.

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Pediatric Emergency Care Applied Research Network. Identification of long bone fractures in radiology reports using natural language processing to support healthcare quality improvement.

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Identification of Patients with Low Life Expectancy

Description: 

This project will use natural language processing and dynamic logic to create a high-fidelity model of risk of death to identify patients with low life expectancy.

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Project Dates: 
August 1, 2015 to May 31, 2019

A value set for documenting adverse reactions in electronic health records.

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Automatically detecting likely edits in clinical notes created using automatic speech recognition.

Principal Investigator: 

Improving electronic inpatient progress notes using voice: results from the VGEENS Project.

Principal Investigator: 

Using voice to create hospital progress notes: description of a mobile application and supporting system integrated with a commercial electronic health record.

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Early identification of patients with acute decompensated heart failure.

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Phenotype Modeling and Outcome Mapping for Pain Management Decision Support - Final Report

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Enabling Large-Scale Research on Autism Spectrum Disorders Through Automated Processing of EHR Using Natural Language Understanding

Description: 

This project will design natural language processing algorithms to extract data from free text notes on autism spectrum disorders in electronic health records, and demonstrate the feasibility and usefulness of this approach.

Principal Investigator: 
Project Dates: 
September 1, 2017 to August 31, 2020