Jorge Díaz-Garzón Marco
Laboratory Medicine Specialist. PhD
La Paz University Hospital
Spain
Jorge Díaz-Garzón is a Specialist in Laboratory Medicine at Hospital Universitario La Paz in Madrid, Spain, where he combines routine clinical responsibilities with research and analytical quality management. His main areas of interest include biological variation, laboraratoy information systems, the clinical interpretation of laboratory results and the appropriate use of laboratory testing . He contributes to European initiatives related to biological variation, including the critical appraisal of biological variation studies through the BIVAC framework. He is currently the principal investigator of an Spnaish-European-funded project investigating the biological variation of biomarkers in chronic kidney disease and osteoporosis, with the aim of improving their interpretation and clinical use. His research also explores biological variation in different populations and clinical settings, as well as the application of personalized reference intervals. Alongside this work, he is involved in projects focused on laboratory data standardization, demand management and the use of data science and artificial intelligence in Laboratory Medicine. A central theme of his work is translating methodological advances into practical tools that can be implemented in routine laboratory practice.
Aiheet
Using Biological Variation in Routine Laboratory Practice: From Analytical Quality Assessment to Result Interpretation
International Programme
Laboratory Medicine in a Changing World
11.2.2027 10:15 - 10:45 | 210
Biological variation data provide valuable tools for analytical quality management and the interpretation of laboratory results, but their implementation in routine practice remains limited. This talk will briefly review current developments and ongoing projects in the field of biological variation. It will then focus on the practical use of analytical performance specifications (APS), reference change values (RCV) and personalized reference intervals. Examples will illustrate how APS can be incorporated into method validation and verification, how indez of individuality can help assess the usefulness of personalized or population-based reference intervals, and how RCV can support the interpretation of serial results. The selection and critical appraisal of biological variation estimates will also be discussed, including the use of the EFLM Biological Variation Database. Particular attention will be given to common limitations and situations in which these tools should be applied cautiously. The overall aim is to propose a realistic framework for integrating biological variation into everyday laboratory processes and clinical reporting.
