AllergyMap: An Open Source Corpus of Allergy Mention Normalizations

Amy Y. Wang, John D. Osborne, Maria I. Danila, Andrew M. Naidech, David M. Liebovitz

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish (US)
Pages (from-to)1249-1257
Number of pages9
JournalAMIA ... Annual Symposium proceedings. AMIA Symposium
StatePublished - 2020

ASJC Scopus subject areas

  • Medicine(all)


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