TY - GEN
T1 - Application of Unified Medical Language System (UMLS) to Standardize Pediatric Drug Data
AU - Shamimul Hasan, S. M.
AU - Agasthya, Greeshma
AU - Santel, Daniel
AU - Bhatnagar, Surbhi
AU - Goethert, Ian
AU - Glauser, Tracy
AU - Pestian, John
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Pediatric Electronic Health Records (EHRs) contain drug/medication data. Despite the importance of standardizing drug data to identify drug class information and enable interoperability between computer systems, sometimes no biomedical vocabulary is used, and therefore the data is not standardized. This paper employed UMLS vocabularies to standardize Cincinnati Children's Hospital Medical Center (CCHMC) EHR drug data to use it build models for pediatric mental health trajectories. We present an approach that identifies a UMLS Concept Unique Identifier (CUI) for a drug for the scenarios when the RxNorm code is available, and also for when it is not available. We employed an offline UMLS database to identify UMLS CUI for a drug when the RxNorm code was available. We used UMLS API and a fuzzy string matching approach to determine UMLS CUI for a drug when the RxNorm code was not available. Our early results demonstrate that drug data can be standardized using the UMLS vocabulary and this approach is helpful for anomaly detection.
AB - Pediatric Electronic Health Records (EHRs) contain drug/medication data. Despite the importance of standardizing drug data to identify drug class information and enable interoperability between computer systems, sometimes no biomedical vocabulary is used, and therefore the data is not standardized. This paper employed UMLS vocabularies to standardize Cincinnati Children's Hospital Medical Center (CCHMC) EHR drug data to use it build models for pediatric mental health trajectories. We present an approach that identifies a UMLS Concept Unique Identifier (CUI) for a drug for the scenarios when the RxNorm code is available, and also for when it is not available. We employed an offline UMLS database to identify UMLS CUI for a drug when the RxNorm code was available. We used UMLS API and a fuzzy string matching approach to determine UMLS CUI for a drug when the RxNorm code was not available. Our early results demonstrate that drug data can be standardized using the UMLS vocabulary and this approach is helpful for anomaly detection.
KW - Pediatric Drug Data
KW - RxNorm
KW - UMLS
UR - http://www.scopus.com/inward/record.url?scp=85181569941&partnerID=8YFLogxK
U2 - 10.1109/ICHI57859.2023.00138
DO - 10.1109/ICHI57859.2023.00138
M3 - Conference contribution
AN - SCOPUS:85181569941
T3 - Proceedings - 2023 IEEE 11th International Conference on Healthcare Informatics, ICHI 2023
SP - 753
EP - 755
BT - Proceedings - 2023 IEEE 11th International Conference on Healthcare Informatics, ICHI 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE International Conference on Healthcare Informatics, ICHI 2023
Y2 - 26 June 2023 through 29 June 2023
ER -