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Natural Language Processing System
Natural Language Processing System
Detecting clinically relevant new information in clinical notes across specialties and settings.
Citation:
Zhang R, Pakhomov SVS, Arsoniadis EG, Lee JT, Wang Y, Melton GB. Detecting clinically relevant new information in clinical notes across specialties and settings. BMC Med Inform Decis Mak. 2017 Jul 5;17(Suppl 2):68. doi: 10.1186/s12911-017-0464-y. PMID: 28699564.
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Project Name:
Usability evaluation of NLP-PIER: a clinical document search engine for researchers.
Citation:
Hultman G, McEwan R, Pakhomov S, Lindemann E, Skube S, Melton GB. Usability evaluation of NLP-PIER: a clinical document search engine for researchers. Stud Health Technol Inform. 2017;245:1269. PMID: 29295354.
Principal Investigator:
Project Name:
Encoding and Processing Patient Allergy Information in EHRs - Final Report
Citation:
Zhou L. Encoding and Processing Patient Allergy Information in EHRs - Final Report. (Prepared by Brigham and Women's Hospital under Grant No. R01 HS022728). Rockville, MD: Agency for Healthcare Research and Quality, 2018.
Principal Investigator:
Drug hypersensitivity reactions documented in electronic health records within a large health system.
Citation:
Wong A, Seger DL, Lai KH, et al. Drug hypersensitivity reactions documented in electronic health records within a large health system. J Allergy Clin Immunol Pract. 2018 Dec 1. pii:S2213-2198(18)30751-7. doi: 10.1016/j.jaip.2018.11.023. [Epub ahead of print]. PMID: 30513361.
Principal Investigator:
Identifying electronic health record usability and safety challenges in pediatric settings.
Citation:
Ratwani RM, Savage E, Will A, et al. Identifying Electronic Health Record Usability And Safety Challenges In Pediatric Settings. Health Aff (Millwood). 2018 Nov;37(11):1752-1759. PMID: 30395517.
Principal Investigator:
Automated extraction of diagnostic criteria from electronic health records for autism spectrum disorders: development, evaluation, and application.
Citation:
Leroy G, Gu Y, Pettygrove S, et al. Automated extraction of diagnostic criteria from electronic health records for autism spectrum disorders: development, evaluation, and application. J Med Internet Res. 2018 Nov 7;20(11):e10497. PMID: 30404767.
Principal Investigator:
Natural Language Processing to Identify and Rank Clinically Relevant Information for EHRs in the Emergency Department - Final Report
Citation:
Goss F. Natural Language Processing to Identify and Rank Clinically Relevant Information for EHRs in the Emergency Department - Final Report. (Prepared by the University of Colorado under Grant No. R21 HS024541). Rockville, MD: Agency for Healthcare Research and Quality, 2018.
Principal Investigator:
Project Name:
Discovery and Visualization of New Information From Clinical Reports in the Electronic Health Record - Final Report
Citation:
Melton-Meaux, G. Discovery and Visualization of New Information From Clinical Reports in the Electronic Health Record - Final Report. (Prepared by the University of Minnesota under Grant No. R01 HS022085). Rockville, MD: Agency for Healthcare Research and Quality, 2018.
Principal Investigator:
Project Name:
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.
Principal Investigator:
Project Dates:
September 1, 2018 to June 30, 2021
Identifying health information technology related safety event reports from patient safety event report databases.
Citation:
Fong A, Adams KT, Gaunt MJ, et al. Identifying health information technology related safety event reports from patient safety event report databases. J Biomed Inform 2018 Oct;86:135-142. Epub 2018 Sep 10. PMID: 30213556.
Principal Investigator:
