Artificial Intelligence

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

Principal Investigator: 

Natural language processing to identify and rank clinically relevant information for EHRs in the emergency department - final report

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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

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

Implementation and Dissemination of 'Gabby,' a Health Information Technology System for Young Women, into Community-Based Clinical Sites

Description: 

This project will develop and disseminate an innovative communication system to identify and mitigate health risks for young African American women before pregnancy as a means of reducing health disparities in birth outcomes.

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Project Dates: 
September 1, 2017 to June 30, 2021

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.

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Project Dates: 
September 1, 2017 to August 31, 2019

Improving Diabetes and Depression Self-management Via Adaptive Mobile Messaging

Description: 

This project will develop and test a personalized motivational text messaging intervention to improve management of diabetes and depression in low-income populations.

Principal Investigator: 
Project Dates: 
September 1, 2017 to June 30, 2022