Natural Language Processing System

Automated extraction of diagnostic criteria from electronic health records for autism spectrum disorders: development, evaluation, and application.

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Natural Language Processing to Identify and Rank Clinically Relevant Information for EHRs in the Emergency Department - Final Report

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Discovery and Visualization of New Information From Clinical Reports in the Electronic Health Record - Final Report

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TREAT ECARDS: Translating Evidence into Action: Electronic Clinical Decision Support in ARDS

Description: 

This project will develop and evaluate an electronic clinical decision support tool for care of patients with Acute Respiratory Distress Syndrome.

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Project Dates: 
September 1, 2018 to June 30, 2021

Identifying health information technology related safety event reports from patient safety event report databases.

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Improving Patient Safety and Clinician Cognitive Support Through eMAR Redesign

Description: 

This study will examine usability and safety hazards of electronic medication administration records, with a focus on communication and information flow between health information technology applications.

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Project Dates: 
July 1, 2018 to April 30, 2023

Rheumatology Informatics System for Effectiveness Patient-Reported Outcome (RISE PRO) Dissemination Project

Description: 

This project will create and evaluate a learning network to expand the use of the Rheumatology Informatics System for Effectiveness (RISE) registry for patient-reported outcomes on rheumatoid arthritis.

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Project Dates: 
July 1, 2018 to April 30, 2021

Improving Allergy Documentation and Clinical Decision Support in the Electronic Health Record

Description: 

This project will redesign approaches for collecting and using allergy information with the goal of improving healthcare quality and safety, including completeness and accuracy of allergy data.

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Project Dates: 
May 7, 2018 to April 30, 2022

Improving the accuracy of a clinical decision support system for cervical cancer screening and surveillance.

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

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