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Harmonization of Measurement Codes for Concept-Oriented Lab Data Retrieval.
Spotnitz, Matthew; Patterson, Jason; Huser, Vojtech; Weng, Chunhua; Natarajan, Karthik.
Afiliação
  • Spotnitz M; Columbia University Medical Center Department of Biomedical Informatics.
  • Patterson J; Columbia University Medical Center Department of Biomedical Informatics.
  • Huser V; National Library of Medicine, Bethesda, MD, USA.
  • Weng C; Columbia University Medical Center Department of Biomedical Informatics.
  • Natarajan K; Columbia University Medical Center Department of Biomedical Informatics.
Stud Health Technol Inform ; 290: 12-16, 2022 Jun 06.
Article em En | MEDLINE | ID: mdl-35672961
Measurement concepts are essential to observational healthcare research; however, a lack of concept harmonization limits the quality of research that can be done on multisite research networks. We developed five methods that used a combination of automated, semi-automated and manual approaches for generating measurement concept sets. We validated our concept sets by calculating their frequencies in cohorts from the Columbia University Irving Medical Center (CUIMC) database. For heart transplant patients, the preoperative frequencies of basic metabolic panel concept sets, which we generated by a semi-automated approach, were greater than 99%. We also made concept sets for lumbar puncture and coagulation panels, by automated and manual methods respectively.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Armazenamento e Recuperação da Informação / Logical Observation Identifiers Names and Codes Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Armazenamento e Recuperação da Informação / Logical Observation Identifiers Names and Codes Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article