Italian 
English Armonizzazione del referto ematologico con l’impiego di unità di misura conformi al Sistema Internazionale
AUTORI
1Medicina di Laboratorio, Fondazione G. Monasterio CNR Regione Toscana, Pisa
2Laboratorio di Analisi Chimico Cliniche, A.O. Papa Giovanni XXIII, Bergamo
3Laboratorio Analisi ASL 12, Viareggio (LU)
4Laboratorio Analisi, Istituto Fiorentino di Cura e Assistenza (IFCA), Firenze
5Laboratorio Generale, Azienda Ospedaliero Universitaria Careggi, Firenze
6Medicina di Laboratorio ASL 3, Bassano del Grappa (TV)
7UOC Patologia Clinica, Ospedale Civile di Avezzano (AQ)
8Laboratorio Analisi, ASL NO, Borgomanero (NO)
9Dipartimento di Patologia Clinica A.O. “V. Cervello”, Palermo
10UO Diagnostica Ematochimica, Azienda Ospedaliero-Universitaria di Parma, Parma
11Laboratorio Analisi, ASL 4 Chiavarese, Lavagna (GE)
12UO Patologia Clinica, Ospedale "F. Lotti", Azienda USL 5, Pontedera (PI)
13Dipartimento di Patologia Clinica, A.O. Rummo, Benevento
14Dipartimento di Medicina Clinica e Sperimentale, Università di Pisa
ABSTRACT
Harmonization of the hematology test report by using units according to the International System (SI)
The need for harmonizing hematology reporting units remains an important challenge for the clinical laboratory community. In 2014, the SIBioC Diagnostic Hematology Study Group (GdS-DE) carried out a survey to assess the state-of-the-art of the Italian hematology laboratories. The survey showed that the majority of laboratories report results using units of measurement that do not conform to SI. In some European countries, initiatives to harmonize hematology reporting units were taken some years ago. In particular, in the UK for the reporting of laboratory hematology results the SI units have been used since April 2013 (this includes hemoglobin and mean corpuscular hemoglobin concentrations in g/L). The aim of this GdS-DE proposal is to advocate a national initiative for promoting the adoption of SI units for hematology reporting. This will optimise the comparability of results among different laboratories and prevent the misinterpretation of data, which may worsen the patient’s outcome.