Big data and reference intervals: Rationale, current practices, harmonization and standardization prerequisites and future perspectives of indirect determination of reference intervals using routine data

Martinez-Sanchez, LuisaMarques-Garcia, FernandoBlanco, AlbertBrouwer, NannetteCanalias, FrancescaCobbaert, ChristaThelen, Marcden Elzen, Wendy2024-10-142024-10-142021-03-10https://doi.org/10.1515/almed-2020-0034https://hdl.handle.net/11452/46373Reference intervals are commonly used as a decision-making tool. In this review, we provide an overview on "big data " and reference intervals, describing the rationale, current practices including statistical methods, essential prerequisites concerning data quality, including harmonization and standardization, and future perspectives of the indirect determination of reference intervals using routine laboratory data.eninfo:eu-repo/semantics/closedAccessLaboratory reference limitsReference valuesPatient dataRecommendationBhattacharyaBloodPleaBig dataIndirect methodsReference intervalsScience & technologyLife sciences & biomedicineMedical laboratory technologyBig data and reference intervals: Rationale, current practices, harmonization and standardization prerequisites and future perspectives of indirect determination of reference intervals using routine dataReview0009207709000029162110.1515/almed-2020-0034