Natural Language Processing System

Patient-reported outcomes in a large community-based pain medicine practice: evaluation for use in phenotype modeling.

Principal Investigator: 

Association of HbA1c with hospitalization and mortality among patients with heart failure and diabetes.

Principal Investigator: 

Automating Assessment of Obesity Care Quality - Final Report

Principal Investigator: 

Improving Outpatient Medication Lists Using Temporal Reasoning and Clinical Texts - Final Report

Principal Investigator: 

NLP-enabled Decision Support for Cervical Cancer Screening and Surveillance

Description: 

This project created a natural language processing-enabled clinical decision support system to pull patient information and determine recommendations for cervical cancer screening, and demonstrated improvement in overall screening and surveillance rates.

Principal Investigator: 
Project Dates: 
September 30, 2014 to November 29, 2016

Encoding and Processing Patient Allergy Information in EHRs

Description: 

The research team developed and evaluated a natural language processing allergy module that was used to study different types of allergies in an electronic health record.

Principal Investigator: 
Project Dates: 
September 30, 2013 to September 29, 2018

Optimal Methods for Notifying Clinicians About Epilepsy Surgery Patients

Description: 

This research prospectively evaluated a machine learning algorithm that identifies candidates for neurologic surgery to control epilepsy.

Principal Investigator: 
Project Dates: 
September 30, 2016 to September 29, 2018

Natural Language Processing To Identify and Rank Clinically Relevant Information for EHRs in the Emergency Department

Description: 

This project developed a natural language processing electronic health record search tool that automatically identifies and ranks relevant clinical information based on a patient’s presenting complaint within the emergency department setting.

Principal Investigator: 
Project Dates: 
September 1, 2016 to August 31, 2018

Health Information Technology in Heart Failure Care

Description: 

This research evaluated the implementation and effectiveness of a clinical decision support tool designed to support the delivery of recommended care to hospitalized patients with heart failure, regardless of the reason for hospitalization.

Principal Investigator: 
Project Dates: 
September 30, 2014 to September 29, 2018

NLP to Improve Accuracy and Quality of Dictated Medical Documents

Description: 

This project will study the impact of errors in medical documents on quality of care and develop innovative natural language processing methods to automatically detect errors so that physicians can correct the documents before finalizing them in the electronic health record.

Principal Investigator: 
Project Dates: 
September 30, 2015 to September 29, 2019