Literature DB >> 33936501

AllergyMap: An Open Source Corpus of Allergy Mention Normalizations.

Amy Y Wang1, John D Osborne1, Maria I Danila1, Andrew M Naidech2, David M Liebovitz2.   

Abstract

Allergy mention normalization is challenging because of the wide range of possible allergens including medications, foods, plants, animals, and consumer products. This paper describes the process of mapping free-text allergy information from an electronic health record (EHR) system in a university hospital to standard terminologies and migration of those data into an enterprise EHR system. The review, mapping, and migration revealed interesting issues and challenges with the free-text allergy information and the mapping in preparation for implementation in the new EHR system. These findings provide insights that can form the basis of guidelines for future mapping and migration efforts involving free-text allergy data. As part of this process, we generate and make freely available AllergyMap, a mapping between free-text entered allergy medication to standard non-proprietary ontologies. To our knowledge, this is the first such mapping available and could serve as a public resource for allergy mention normalization and system evaluation. ©2020 AMIA - All rights reserved.

Entities:  

Year:  2021        PMID: 33936501      PMCID: PMC8075505     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  34 in total

1.  Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program.

Authors:  A R Aronson
Journal:  Proc AMIA Symp       Date:  2001

2.  Using Medical Text Extraction, Reasoning and Mapping System (MTERMS) to process medication information in outpatient clinical notes.

Authors:  Li Zhou; Joseph M Plasek; Lisa M Mahoney; Neelima Karipineni; Frank Chang; Xuemin Yan; Fenny Chang; Dana Dimaggio; Debora S Goldman; Roberto A Rocha
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

3.  Assessment of commercial NLP engines for medication information extraction from dictated clinical notes.

Authors:  V Jagannathan; Charles J Mullett; James G Arbogast; Kevin A Halbritter; Deepthi Yellapragada; Sushmitha Regulapati; Pavani Bandaru
Journal:  Int J Med Inform       Date:  2008-10-05       Impact factor: 4.046

4.  Need versus cost: understanding EHR data migration options.

Authors:  Sean West
Journal:  J Med Pract Manage       Date:  2013 Nov-Dec

Review 5.  Medication-related clinical decision support in computerized provider order entry systems: a review.

Authors:  Gilad J Kuperman; Anne Bobb; Thomas H Payne; Anthony J Avery; Tejal K Gandhi; Gerard Burns; David C Classen; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2006-10-26       Impact factor: 4.497

Review 6.  Reducing medical errors through better documentation.

Authors:  Marie Edwards; Jackie Moczygemba
Journal:  Health Care Manag (Frederick)       Date:  2004 Oct-Dec

7.  Comparison of documentation of patient reported adverse drug reactions on both paper-based medication charts and electronic medication charts at a New Zealand hospital.

Authors:  Wilson Shen; Bernice Wong; Jessica Yi Ping Chin; Michael Lee; Carolyn Coulter; Rhiannon Braund
Journal:  N Z Med J       Date:  2016-10-28

8.  Food entries in a large allergy data repository.

Authors:  Joseph M Plasek; Foster R Goss; Kenneth H Lai; Jason J Lau; Diane L Seger; Kimberly G Blumenthal; Paige G Wickner; Sarah P Slight; Frank Y Chang; Maxim Topaz; David W Bates; Li Zhou
Journal:  J Am Med Inform Assoc       Date:  2015-09-17       Impact factor: 4.497

9.  Evaluating standard terminologies for encoding allergy information.

Authors:  Foster R Goss; Li Zhou; Joseph M Plasek; Carol Broverman; George Robinson; Blackford Middleton; Roberto A Rocha
Journal:  J Am Med Inform Assoc       Date:  2013-02-09       Impact factor: 4.497

10.  β-lactam allergy: clinical implications and costs.

Authors:  Giovanni Satta; Victoria Hill; Marisa Lanzman; Indran Balakrishnan
Journal:  Clin Mol Allergy       Date:  2013-11-27
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