Artificial Intelligence | Digital Healthcare Research

ReadMI: an innovative app to support training in motivational interviewing.

Citation

Vasoya MM, Shivakumar A, Pappu S, Murphy CP, Pei Y, Bricker DA, Wilson JF, Castle A, Hershberger PJ. ReadMI: an innovative app to support training in motivational interviewing. J Grad Med Educ. 2019 Jun;11(3):344-346. doi: 10.4300/JGME-D-18-00839.1. PMID: 31210875; PMCID: PMC6570458.

Principal Investigator

Hershberger, Paul J.

Project Name

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

The use of automated machine translation to translate figurative language in a clinical setting: Analysis of a convenience sample of patients drawn from a randomized controlled trial.

Citation

Tougas H, Chan S, Shahrvini T, Gonzalez A, Chun Reyes R, Burke Parish M, Yellowlees P. The use of automated machine translation to translate figurative language in a clinical setting: Analysis of a convenience sample of patients drawn from a randomized controlled trial. JMIR Ment Health. 2022 Sep 6;9(9):e39556. doi: 10.2196/39556. PMID: 36066959; PMCID: PMC9490520.

Principal Investigator

Yellowlees, Peter M.

Project Name

A Clinical Trial to Validate an Automated Online Language Interpreting Tool With Hispanic Patients Who Have Limited English Proficiency

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

Citation

Hershberger P. Real-time Assessment of Dialogue in Motivational Interviewing Training (ReadMI) - Final Report. (Prepared by Wright State University under Grant No. R21 HS026548). Rockville, MD: Agency for Healthcare Research and Quality, 2022.

Principal Investigator

Hershberger, Paul J.

Project Name

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

Expanding the reaction picklist in electronic health records improves allergy documentation.

Citation

Varghese S, Wang L, Blackley SV, Blumenthal KG, Goss FR, Zhou L. Expanding the reaction picklist in electronic health records improves allergy documentation. J Allergy Clin Immunol Pract. 2022 Oct;10(10):2768-2771.e2. doi: 10.1016/j.jaip.2022.06.046. Epub 2022 Jul 11. PMID: 35835388.

Principal Investigator

Zhou, Li

Project Name

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

Drug-induced anaphylaxis documented in electronic health records.

Citation

Dhopeshwarkar N, Sheikh A, Doan R, Topaz M, Bates DW, Blumenthal KG, Zhou L. Drug-induced anaphylaxis documented in electronic health records. J Allergy Clin Immunol Pract. 2019 Jan;7(1):103-111. doi: 10.1016/j.jaip.2018.06.010. Epub 2018 Jun 30. PMID: 29969686; PMCID: PMC6311439.

Principal Investigator

Zhou, Li

Project Name

Encoding and Processing Patient Allergy Information in EHRs

Reconciling allergy information in the electronic health record after a drug challenge using natural language processing.

Citation

Lo YC, Varghese S, Blackley S, Seger DL, Blumenthal KG, Goss FR, Zhou L. Reconciling allergy information in the electronic health record after a drug challenge using natural language processing. Front allergy. 2022 May 10;3:904923. doi: 10.3389/falgy.2022.904923. PMID: 35769562; PMCID: PMC9234873.

Principal Investigator

Zhou, Li

Project Name

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

Heterogeneity of drug allergies and reaction lists in two U.S. health care systems' electronic health records.

Citation

Yerneni S, Shah SN, Blackley SV, Ortega CA, Blumenthal KG, Goss F, Seger DL, Wickner PG, Mancini CM, Bates DW, Zhou L. Heterogeneity of drug allergies and reaction lists in two U.S. health care systems' electronic health records. Appl Clin Inform. 2022 May;13(3):741-751. doi: 10.1055/a-1862-9425. Epub 2022 May 26. PMID: 35617970; PMCID: PMC9352439.

Principal Investigator

Zhou, Li

Project Name

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

Improving Health Data Quality by Assessing and Enhancing Semantic Integrity

Description

This research will develop and validate advanced statistical and machine learning methods to assess and improve representational semantic integrity of terminologies in large clinical databases.

Grant Number

R01 HS028450

Principal Investigator(s)

Zeng, Qing

Nelson, Stuart James

Significant gains in rheumatoid arthritis quality measures among RISE registry practices.

Citation

Izadi Z, Schmajuk G, Gianfrancesco M, Subash M, Evans M, Trupin L, Yazdany J. Significant gains in rheumatoid arthritis quality measures among RISE registry practices. Arthritis Care Res (Hoboken). 2022 Feb;74(2):219-228. doi: 10.1002/acr.24444. Epub 2021 Dec 27. PMID: 32937026; PMCID: PMC7960552.

Principal Investigator

Yazdany, Jinoos

Project Name

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

Development of a natural language processing system for extracting rheumatoid arthritis outcomes from clinical notes using the national RISE registry.

Citation

Humbert-Droz M, Izadi Z, Schmajuk G, Gianfrancesco M, Baker MC, Yazdany J, Tamang S. Development of a natural language processing system for extracting rheumatoid arthritis outcomes from clinical notes using the national RISE registry. Arthritis Care Res (Hoboken). 2022 Feb 14. doi: 10.1002/acr.24869. Epub ahead of print. PMID: 35157365.

Principal Investigator

Yazdany, Jinoos

Project Name

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