Natural Language Processing System | Digital Healthcare Research

Vancomycin hypersensitivity reactions documented in electronic health records.

Citation

Alvarez-Arango S, Yerneni S, Tang O, Zhou L, Mancini CM, Blackley SV, Keet CA, Blumenthal KG. Vancomycin hypersensitivity reactions documented in electronic health records. J Allergy Clin Immunol Pract. 2021 Feb;9(2):906-912. doi: 10.1016/j.jaip.2020.09.027. Epub 2020 Oct 1. PMID: 33011300; PMCID: PMC7870516.

Principal Investigator

Zhou, Li

Project Name

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

Developing Evidence-Based, User-Centered Design and Implementation Guidelines to Improve Health Information Technology Usability - Final Report

Citation

Ratwani R. Developing Evidence-Based, User-Centered Design and Implementation Guidelines to Improve Health Information Technology Usability - Final Report. (Prepared by MedStar Health Research Institute under Grant No. R01 HS023701). Rockville, MD: Agency for Healthcare Research and Quality, 2021.

Principal Investigator

Ratwani, Raj M.

Project Name

Developing Evidence-Based, User-Centered Design and Implementation Guidelines to Improve Health Information Technology Usability

An Electronic Health Record-Based Screening Tool to Support Safe Discharges of COVID-19 Patients in the Emergency Department

Description

This research will develop and validate a COVID-19 emergency department (ED) return screening tool that will provide ED clinicians a risk assessment to guide admissions and discharges to reduce morbidity and mortality associated with acute respiratory syndrome coronavirus 2 infection.

Grant Number

R21 HS028563

Principal Investigator(s)

Galarraga, Jessica E.

A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention Among Hospitalized Patients

Description

This research will develop, train, test, and evaluate a machine learning classifier to identify risk for HIV acquisition or transmission among hospitalized patients with substance misuse.

Grant Number

R21 HS028511

Principal Investigator(s)

Thompson, Hale M.

Optimizing corpus creation for training word embedding in low resource domains: a case study in Autism Spectrum Disorder (ASD).

Citation

Gu Y, Leroy G, Pettygrove S, Galindo MK, Kurzius-Spencer M. Optimizing corpus creation for training word embedding in low resource domains: a case study in Autism Spectrum Disorder (ASD). AMIA Annu Symp Proc. 2018 Dec 5;2018:508-517. PMID: 30815091.

Principal Investigator

Leroy, Gondy

Project Name

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

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

Citation

Leroy G. Enabling Large-Scale Research on Autism Spectrum Disorders Through Automated Processing of EHR Using Natural Language Understanding - Final Report. (Prepared by the University Of Arizona under Grant No. R21 HS024988). Rockville, MD: Agency for Healthcare Research and Quality, 2020.

Principal Investigator

Leroy, Gondy

Project Name

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

Semi-Automated Identification of Biomedical Literature - Final Report

Citation

Trikalinos T. Semi-Automated Identification of Biomedical Literature - Final Report. (Prepared by Brown University under Grant No. R03 HS027247). Rockville, MD: Agency for Healthcare Research and Quality, 2020.

Principal Investigator

Trikalinos, Thomas

Project Name

Semi-Automated Identification of Biomedical Literature

Identification of Patients with Low Life Expectancy - Final Report

Citation

Turchin A. Identification of Patients with Low Life Expectancy - Final Report. (Prepared by Cincinnati Children's Hospital Medical Center under Grant No. R21 HS024977). Rockville, MD: Agency for Healthcare Research and Quality, 2019.

Principal Investigator

Turchin, Alexander

Project Name

Identification of Patients with Low Life Expectancy

Real-time Assessment of Dialogue in Motivational Interviewing Training (ReadMI)

Description

This research will enhance and test a tool which uses natural language processing to provide a real-time assessment of dialog during motivational interviewing training.

Grant Number

R21 HS026548

Principal Investigator(s)

Hershberger, Paul J.

Semi-Automated Identification of Biomedical Literature

Description

This research developed and evaluated a semi-automatic approach for conducting literature searches for systematic reviews.

Grant Number

R03 HS027247

Principal Investigator(s)

Trikalinos, Thomas