Filtered By:
Management: Electronic Health Records (EHR)

This page shows you your search results in order of relevance. This is page number 7.

Order by Relevance | Date

Total 266 results found since Jan 2013.

Natural Language Processing for Asthma Ascertainment in Different Practice Settings
Conclusions Successful implementation of NLP-PAC for asthma ascertainment in 2 different practice settings demonstrates the feasibility of automated asthma ascertainment leveraging electronic health record data with a potential to enable large-scale, multisite asthma studies to improve asthma care and research.
Source: The Journal of Allergy and Clinical Immunology: In Practice - June 20, 2017 Category: Allergy & Immunology Source Type: research

P003 Drug-induced eosinophilia in a large integrated healthcare system
Although drug-induced peripheral blood eosinophilia is the most common cause of eosinophilia among hospitalized patients in the United States, its epidemiology is incompletely characterized. We aimed to identify isolated eosinophilia cases in a large integrated healthcare system using free-text from patient allergy lists in the electronic health record (EHR).
Source: Annals of Allergy, Asthma and Immunology - October 27, 2017 Category: Allergy & Immunology Authors: Y. Li, A. Wolfson, L. Zhou, K. Blumenthal Source Type: research

SJS/TEN 2017: Building Multidisciplinary Networks to Drive Science and Translation
Publication date: January–February 2018 Source:The Journal of Allergy and Clinical Immunology: In Practice, Volume 6, Issue 1 Author(s): Katie D. White, Riichiro Abe, Michael Ardern-Jones, Thomas Beachkofsky, Charles Bouchard, Bruce Carleton, James Chodosh, Ricardo Cibotti, Robert Davis, Joshua C. Denny, Roni P. Dodiuk-Gad, Elizabeth N. Ergen, Jennifer L. Goldman, James H. Holmes, Shuen-Iu Hung, Mario E. Lacouture, Rannakoe J. Lehloenya, Simon Mallal, Teri A. Manolio, Robert G. Micheletti, Caroline M. Mitchell, Maja Mockenhaupt, David A. Ostrov, Rebecca Pavlos, Munir Pirmohamed, Elena Pope, Alec Redwood, Misha Rosenbach...
Source: The Journal of Allergy and Clinical Immunology: In Practice - January 5, 2018 Category: Allergy & Immunology Source Type: research

A High-Throughput Genetic Analysis of Common Drug Allergy Labels Using Data from a Large Biobank
Adverse drug reactions listed as “drug allergies” have diverse etiologies and mechanisms. DNA biobanks linked with electronic health records (EHRs) and advanced informatics have enabled new genetic discoveries. We used the Vanderbilt DNA biobank paired with the EHR (BioVu) to conduct a high-throughput genetic analysis of “dru g allergy” EHR labels.
Source: Journal of Allergy and Clinical Immunology - February 1, 2018 Category: Allergy & Immunology Authors: Elizabeth J. Phillips, Wei-Qi Wei, Christian Michael Shaffer, QiPing Feng, Cosby A. Stone, C. Michael Stein, Dan M. Roden, Joshua C. Denny Source Type: research

Capturing Drug-Induced Anaphylaxis Through Electronic Health Records: A Step Forward
Publication date: January 2019Source: The Journal of Allergy and Clinical Immunology: In Practice, Volume 7, Issue 1Author(s): Mariana C. Castells
Source: The Journal of Allergy and Clinical Immunology: In Practice - December 29, 2018 Category: Allergy & Immunology Source Type: research

Contrast-Agent Allergies Often Poorly Documented in EHR Contrast-Agent Allergies Often Poorly Documented in EHR
Documentation of contrast-agent allergies in electronic health records (EHRs) often lacks important information, such as the particular agent, according to new research.Reuters Health Information
Source: Medscape Allergy Headlines - April 2, 2019 Category: Allergy & Immunology Tags: Allergy & Clinical Immunology News Source Type: news

Is It Time for a Patient-Centered Quality Measure of Asthma Control?
Publication date: Available online 4 April 2019Source: The Journal of Allergy and Clinical Immunology: In PracticeAuthor(s): Elizabeth Herman, Suzanne Beavers, Ben Hamlin, Kaytna ThakerQuality measures play a prominent role in the US health care system. They are used to monitor and report performance across health plans, providers, and health systems and are a foundational element of value-based payment. Measuring the quality of asthma care has been challenging because of a lack of reliable data to assess clinical processes and track patient-specific outcomes. Existing asthma Healthcare Effectiveness Data and Information S...
Source: The Journal of Allergy and Clinical Immunology: In Practice - April 5, 2019 Category: Allergy & Immunology Source Type: research

Natural Language Processing Combined with ICD-9-CM Codes as a Novel Method to Study the Epidemiology of Allergic Drug Reactions
ConclusionUsing NLP with ICD-9-CM codes improved identification of allergic drug reactions. The resulting decrease in manual chart review effort will facilitate large epidemiology studies of this understudied area.
Source: The Journal of Allergy and Clinical Immunology: In Practice - December 17, 2019 Category: Allergy & Immunology Source Type: research

Artificial intelligence approaches using natural language processing to advance EHR-based clinical research
The wide adoption of electronic health record systems in health care generates big real-world data that open new venues to conduct clinical research. As a large amount of valuable clinical information is locked in clinical narratives, natural language processing techniques as an artificial intelligence approach have been leveraged to extract information from clinical narratives in electronic health records. This capability of natural language processing potentially enables automated chart review for identifying patients with distinctive clinical characteristics in clinical care and reduces methodological heterogeneity in d...
Source: Journal of Allergy and Clinical Immunology - December 25, 2019 Category: Allergy & Immunology Authors: Young Juhn, Hongfang Liu Tags: Reviews and feature article Source Type: research

The Association Between Patient-Reported Asthma Morbidity and Electronic Health Record (EHR)-Identified Data Among Pediatric Asthma Patients Njeze O, Lee A, Singh A, Cosar E, Hsia B, Lin I, Jariwala SP. Division of Allergy/Immunology, Albert Einstein College of Medicine, Bronx, NY.
This study aims to evaluate the link between self-reported and EHR-identified data among pediatric asthma patients.
Source: Journal of Allergy and Clinical Immunology - January 31, 2020 Category: Allergy & Immunology Authors: Obumneme Njeze, Audrey Lee, Anjani Singh, Emine Cosar, Brian Hsia, Iris Lin, Sunit Jariwala Source Type: research

Genome-wide Study Identifies Association between HLA-B ∗55:01 and Self-Reported Penicillin Allergy
Hypersensitivity reactions to drugs are often unpredictable and can be life threatening, underscoring a need for understanding their underlying mechanisms and risk factors. The extent to which germline genetic variation influences the risk of commonly reported drug allergies such as penicillin allergy remains largely unknown. We extracted data from the electronic health records of more than 600,000 participants from the UK, Estonian, and Vanderbilt University Medical Center ’s BioVU biobanks to study the role of genetic variation in the occurrence of self-reported penicillin hypersensitivity reactions.
Source: The American Journal of Human Genetics - September 2, 2020 Category: Genetics & Stem Cells Authors: Kristi Krebs, Jonas Bovijn, Neil Zheng, Maarja Lepamets, Jenny C. Censin, Tuuli J ürgenson, Dage Särg, Erik Abner, Triin Laisk, Yang Luo, Line Skotte, Frank Geller, Bjarke Feenstra, Wei Wang, Adam Auton, 23andMe Research Team, Soumya Raychaudhuri, Tõnu Tags: Article Source Type: research

Vancomycin Hypersensitivity Reactions Documented in Electronic Health Records
Publication date: Available online 1 October 2020Source: The Journal of Allergy and Clinical Immunology: In PracticeAuthor(s): Santiago Alvarez-Arango, Sharmitha Yerneni, Olive Tang, Li Zhou, Christian M. Mancini, Suzanne V. Blackley, Corinne Allison Keet, Kimberly G. Blumenthal
Source: The Journal of Allergy and Clinical Immunology: In Practice - October 2, 2020 Category: Allergy & Immunology Source Type: research

P007 review of adverse drug reaction reporting and drug allergy documentation
Medical staff are encouraged to report and document adverse drug reactions (ADRs) and allergies; however, discrepancies may occur during this process. There is limited data in the pediatric population regarding ADR reporting systems and electronic health record (EHR) labeling. We aim to evaluate this process at our institution.
Source: Annals of Allergy, Asthma and Immunology - November 1, 2020 Category: Allergy & Immunology Authors: P. Mehta, P. Anley, S. Hwang Source Type: research

Vancomycin "allergy ” labels in the EHR: Defining Epidemiology, Outcomes and Genetic risk
Vancomycin is recognized to be associated with “allergy labels” (VAL) in the electronic health record; however, clinical distribution and knowledge of host predisposition across distinct clinical phenotypes are lacking.
Source: Journal of Allergy and Clinical Immunology - February 1, 2021 Category: Allergy & Immunology Authors: Sara Bluestein, Roger Yu, Cosby Stone, Elizabeth Phillips Source Type: research

Evaluating the impact of COVID-19 on asthma morbidity: a comprehensive analysis of potential influencing factors
CONCLUSION: Our data confirm reduced healthcare utilization and suggest better asthma control during COVID-19, except for African Americans. This was associated with a significant increase in telehealth visits and reductions in PM2.5 and influenza infections, but not better asthma controller adherence.PMID:33775900 | DOI:10.1016/j.anai.2021.03.018
Source: Annals of Allergy, Asthma and Immunology - March 29, 2021 Category: Allergy & Immunology Authors: Olga L Guijon Tricia Morphew Morphew Consulting Louis Ehwerhemuepha Stanley P Galant Source Type: research