Guest editor:

Michael Cornes, BSc, MSc, PhD, FRCPath, EuSpLm(left)
Department of Clinical Biochemistry, Worcestershire Acute Hospitals NHS Trust, Worcestershire, UK.

Jennifer Atherton, PhD(right)
Liverpool Clinical Laboratories, Blood Sciences Department, Aintree University Hospital, Liverpool, UK.

Preface

Reducing errors in the pre-analytical phase

Michael Cornes, Jennifer Atherton

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Original Article

Using machine learning techniques to generate laboratory diagnostic pathways—a case study

Georg Hoffmann, Andreas Bietenbeck, Ralf Lichtinghagen, Frank Klawonn

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Preanalytical phase management: identification and control of nonconformities in the sampling room of a clinical laboratory in Tunisia

Kahena Bouzid, Sabrine Zrelli, Arfaoui Rebeh, Ahlem Bartkiz, Arbia Khlifi, Yamna El Jerbi, Karim Fourati, Yacine Rakik, Khalil Jmal

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Review Article

Are we getting better at the preanalytical phase or just better at measuring it?

Giuseppe Lippi, Camilla Mattiuzzi, Chiara Bovo

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Laboratory test inappropriateness: lessons revisited and clarified in seven questions

Maria Salinas, Emilio Flores, Maite López-Garrigós, Carlos Leiva-Salina

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How do we use the data from pre-analytical quality indicators and how should we?

Janne Cadamuro, Martin Gaksch, Cornelia Mrazek, Elisabeth Haschke-Becher, Mario Plebani

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Variations in the system influencing venous blood specimen collection practices: sources of pre-analytical errors

Karin Bölenius, Karin Nilsson

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Mechanisms of measuring key performance indicators in the pre-analytical phase

Michael P. Cornes, Chandrashekar Shetty

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Disclosure:
The series “Reducing errors in the pre-analytical phase” was commissioned by the editorial office, Journal of Laboratory and Precision Medicine without any sponsorship or funding. Michael Cornes and Jennifer Atherton served as the unpaid Guest Editors for the series.