AHRQ Health IT Projects Publication Database

This database serves as a central repository for publications resulting from AHRQ Health IT funded work that is PubMed or Google Scholar indexed, including: book chapters, journal articles, conference proceedings, and reports from funded contracts.

 

Displaying 1 - 9 of 9

Drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome identified in the electronic health record allergy module.

Citation: 
Wolfson AR, Zhou L, Li Y, et al. Drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome identified in the electronic health record allergy module. J Allergy Clin Immunol Pract 2018 Aug 31. pii: S2213-2198(18)30548-8. doi: 10.1016/j.jaip.2018.08.013. [Epub ahead of print]. PMID: 30176295.
Principal Investigator: 
Zhou, Li
Project Name: 
Encoding and Processing Patient Allergy Information in EHRs

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: 
Zhou, Li
Project Name: 
Encoding and Processing Patient Allergy Information in EHRs

Epidemiology of ACE inhibitor angioedema utilizing a large electronic health record.

Citation: 
Banerji A, Blumenthal KG, Lai KH, et al. Epidemiology of ACE inhibitor angioedema utilizing a large electronic health record. J Allergy Clin Immunol Pract 2017 May - Jun;5(3):744-9. PMID: 28377081.
Principal Investigator: 
Zhou, Li
Project Name: 
Encoding and Processing Patient Allergy Information in EHRs

Adverse and hypersensitivity reactions to prescription nonsteroidal anti-inflammatory agents in a large health care system.

Citation: 
Blumenthal KG, Lai KH, Huang M, et al. Adverse and hypersensitivity reactions to prescription nonsteroidal anti-inflammatory agents in a large health care system. J Allergy Clin Immunol Pract 2017 May -Jun;5(3):737-43. PMID: 28110055.
Principal Investigator: 
Zhou, Li
Project Name: 
Encoding and Processing Patient Allergy Information in EHRs

Prevalence of food allergies and intolerances documented in electronic health records.

Citation: 
Acker WW, Plasek JM, Blumenthal KG, et al. Prevalence of food allergies and intolerances documented in electronic health records. J Allergy Clin Immunol 2017 May 23. pii:S0091-6749(17)30672-3. PMID: 28577971.
Principal Investigator: 
Zhou, Li
Project Name: 
Encoding and Processing Patient Allergy Information in EHRs

A value set for documenting adverse reactions in electronic health records.

Citation: 
Goss FR, Lai KH, Topaz M, Acker WW, et al. A value set for documenting adverse reactions in electronic health records. J Am Med Inform Assoc 2017 Dec 14. doi: 10.1093/jamia/ocx139. [Epub ahead of print]. PMID: 29253169.
Principal Investigator: 
Zhou, Li
Project Name: 
Encoding and Processing Patient Allergy Information in EHRs

Automated misspelling detection and correction in clinical free-text records.

Citation: 
Lai KH, Topaz M, Goss FR, et al. Automated misspelling detection and correction in clinical free-text records. J Biomed Inform 2015 Jun;55:188-95. PMID: 25917057.
Principal Investigator: 
Zhou, Li
Project Name: 
Encoding and Processing Patient Allergy Information in EHRs

An evaluation of a natural language processing tool for identifying and encoding allergy information in emergency department clinical notes.

Citation: 
Goss FR, Plasek JM, Lau JJ, et al. An evaluation of a natural language processing tool for identifying and encoding allergy information in emergency department clinical notes. AMIA Annu Symp Proc 2014 Nov 14;2014:580-8. PMID: 25954363.
Principal Investigator: 
Zhou, Li
Project Name: 
Encoding and Processing Patient Allergy Information in EHRs

Types and origins of diagnostic errors in primary care settings.

Citation: 
Singh H, Giardina TD, Meyer AN, et al. Types and origins of diagnostic errors in primary care settings. JAMA Intern Med 2013 Mar 25;173(6):418-25.
Principal Investigator: 
Thomas, Eric
Project Name: 
Using Electronic Records to Detect and Learn from Ambulatory Diagnostic Errors