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This paper is in the following e-collection/theme issue:

Electronic Health Records (1813) Theoretical Frameworks and Concepts (602) Ontologies, Classifications, and Coding (479) Health Services Research in Oncology (88) Standards and Interoperability (237)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81254, first published .
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Harmonizing Logical Observation Identifiers Names and Codes (LOINC) Codes and Units in Real-World Oncology Data: Method Development and Evaluation

Harmonizing Logical Observation Identifiers Names and Codes (LOINC) Codes and Units in Real-World Oncology Data: Method Development and Evaluation

Authors of this article:

Parvati Naliyatthaliyazchayil1 Author Orcid Image ;   Travis Stenerson1 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics Author Video

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  2. Anghel C, Anghel A, Craciun M, Moldovanu S, Cocu A, Vulpe D, Maier C, Potop V, Dragosloveanu C, Andrei C, Dragosloveanu S, Scheau C. From Medical Records to AI-Ready Datasets: A Practical Guide for Clinical Researchers. Journal of Clinical Medicine 2026;15(16):6297 View
  3. Yuji K, Yuji W. Semantic Governance Stops at the Model: What Laboratory-Aware AI Checklists Leave to Post-Deployment Oversight. Journal of Medical Systems 2026;50(1) View
  4. Boyce D, Premasiri A, Sullivan S, Levine B, Vieira F. Registry Forge: an open-source end-to-end pipeline for patient-directed SMART on FHIR registries. JAMIA Open 2026;9(5) View