Evaluating standard terminologies for encoding allergy information

@article{Goss2013EvaluatingST,
  title={Evaluating standard terminologies for encoding allergy information},
  author={Foster R. Goss and Li Zhou and Joseph M. Plasek and Carol A. Broverman and George A. Robinson and Blackford Middleton and Roberto A. Rocha},
  journal={Journal of the American Medical Informatics Association : JAMIA},
  year={2013},
  volume={20 5},
  pages={
          969-79
        }
}
  • F. Goss, Li Zhou, R. Rocha
  • Published 1 September 2013
  • Medicine
  • Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE Allergy documentation and exchange are vital to ensuring patient safety. [] Key MethodRESULTS Our qualitative results show that SNOMED CT fulfilled the greatest number of desirable characteristics, followed by NDF-RT, RxNorm, UNII, and MedDRA. Our quantitative results demonstrate that RxNorm had the highest concept coverage for representing drug allergens, followed by UNII, SNOMED CT, NDF-RT, and MedDRA. For food and environmental allergens, UNII demonstrated the highest concept coverage, followed…

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