Literature DB >> 19428833

Detecting possible vaccine adverse events in clinical notes of the electronic medical record.

Brian Hazlehurst1, Allison Naleway, John Mullooly.   

Abstract

The Vaccine Safety Datalink (VSD) is a collaboration between the CDC and eight large HMOs to investigate adverse events following immunization through analyses of clinical data. We modified an existing system, called MediClass, that uses natural language processing to identify clinical events recorded in electronic medical records (EMRs). We customized MediClass so it could detect possible vaccine adverse events (VAEs) generally, and gastrointestinal-related VAEs in particular, in the text clinical notes of encounters recorded in the EMR of a large HMO. Compared to methods that use diagnosis and utilization codes assigned to encounters by clinicians and administrators, the MediClass system can both find more adverse events and improve the positive predictive value for detecting possible VAEs.

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Year:  2009        PMID: 19428833     DOI: 10.1016/j.vaccine.2009.01.105

Source DB:  PubMed          Journal:  Vaccine        ISSN: 0264-410X            Impact factor:   3.641


  18 in total

1.  Automating quality measurement: a system for scalable, comprehensive, and routine care quality assessment.

Authors:  Brian Hazlehurst; Maryann McBurnie; Richard Mularski; Jon Puro; Susan Chauvie
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

2.  Text mining for the Vaccine Adverse Event Reporting System: medical text classification using informative feature selection.

Authors:  Taxiarchis Botsis; Michael D Nguyen; Emily Jane Woo; Marianthi Markatou; Robert Ball
Journal:  J Am Med Inform Assoc       Date:  2011-06-27       Impact factor: 4.497

3.  The National Vaccine Advisory Committee: reducing patient and provider barriers to maternal immunizations: approved by the National Vaccine Advisory Committee on June 11, 2014.

Authors: 
Journal:  Public Health Rep       Date:  2015 Jan-Feb       Impact factor: 2.792

Review 4.  Natural Language Processing for EHR-Based Pharmacovigilance: A Structured Review.

Authors:  Yuan Luo; William K Thompson; Timothy M Herr; Zexian Zeng; Mark A Berendsen; Siddhartha R Jonnalagadda; Matthew B Carson; Justin Starren
Journal:  Drug Saf       Date:  2017-11       Impact factor: 5.606

5.  The use of natural language processing to identify Tdap-related local reactions at five health care systems in the Vaccine Safety Datalink.

Authors:  Chengyi Zheng; Wei Yu; Fagen Xie; Wansu Chen; Cheryl Mercado; Lina S Sy; Lei Qian; Sungching Glenn; Gina Lee; Hung Fu Tseng; Jonathan Duffy; Lisa A Jackson; Matthew F Daley; Brad Crane; Huong Q McLean; Steven J Jacobsen
Journal:  Int J Med Inform       Date:  2019-04-13       Impact factor: 4.046

6.  Challenges of Using Text Classifiers for Causal Inference.

Authors:  Zach Wood-Doughty; Ilya Shpitser; Mark Dredze
Journal:  Proc Conf Empir Methods Nat Lang Process       Date:  2018 Oct-Nov

Review 7.  Using text-mining techniques in electronic patient records to identify ADRs from medicine use.

Authors:  Pernille Warrer; Ebba Holme Hansen; Lars Juhl-Jensen; Lise Aagaard
Journal:  Br J Clin Pharmacol       Date:  2012-05       Impact factor: 4.335

8.  Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review.

Authors:  Theresa A Koleck; Caitlin Dreisbach; Philip E Bourne; Suzanne Bakken
Journal:  J Am Med Inform Assoc       Date:  2019-04-01       Impact factor: 4.497

Review 9.  Clinical information extraction applications: A literature review.

Authors:  Yanshan Wang; Liwei Wang; Majid Rastegar-Mojarad; Sungrim Moon; Feichen Shen; Naveed Afzal; Sijia Liu; Yuqun Zeng; Saeed Mehrabi; Sunghwan Sohn; Hongfang Liu
Journal:  J Biomed Inform       Date:  2017-11-21       Impact factor: 6.317

10.  The use of natural language processing to identify vaccine-related anaphylaxis at five health care systems in the Vaccine Safety Datalink.

Authors:  Wei Yu; Chengyi Zheng; Fagen Xie; Wansu Chen; Cheryl Mercado; Lina S Sy; Lei Qian; Sungching Glenn; Hung F Tseng; Gina Lee; Jonathan Duffy; Michael M McNeil; Matthew F Daley; Brad Crane; Huong Q McLean; Lisa A Jackson; Steven J Jacobsen
Journal:  Pharmacoepidemiol Drug Saf       Date:  2019-12-03       Impact factor: 2.732

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