Prof. Mehmet Haberal is presented with The Award of The Spanish Order of The Civil Merit (Cruz de Official) by His Majesty King Felipe VI, King of Spain.
We are honored to announce that Prof. Dr. Seza Özen who is the member of Honorary Advisory Board of JBACHS has already won the Aziz Sancar Science Award of TUSEB.
We are happy to announce that The Journal of Basic and Clinical Health Sciences (JBACHS) is indexed by the Emerging Sources Citation Index since November 2017, and indexed by the Ulakbim-TR since 2017.
Journal of Basic and Clinical Health Sciences 2020 , Vol 4 , Issue 2
Implementation of a Risk Management Model to Identify and Prevent Preanalytical Errors in Medical Laboratories
Buket Erbayraktar1,Nevcivan Güldaş2
1Dokuz Eylul University Institute of Health Sciences, Quality Improvement and Accreditation in Healthcare Services, İzmir, Turkey
2Dokuz Eylul University, Faculty of Medicine, Research Laboratory, İzmir, Turkey
DOI : 10.30621/jbachs.2020.1081 Objective: The aim of the study is to apply a risk management model for the examination and prevention of errors occurring in the preanalytical laboratory phase.

Method: The data used in this study were obtained from the Error Reporting Sheet of Dokuz Eylul University Hospital Central Laboratory for 2013–2015. The Failure Mode and Effects Analysis (FMEA) method was used in the study. The pre-analytical laboratory process was defined and FMEA team was formed. By determining the potential effects of failure modes detected in the pre-analytical process, the severity, probability and detectability of them were calculated and potential causes were identified. An action plan was prepared to eliminate or reduce the highrisk failure modes.

Results: In the pre-analytical laboratory phase, processes are defined as test request, sampling, identification, barcoding and transfer. The errors that occurred in the pre-analytical phase were classified under 9 types of errors. The highest number of errors was observed in the patient identification process and the number and the ratio of total errors in 2013 are 71 (29.58%), in 2014 it is 81 (29.89%) and in 2015 it is 102 (53.97%). It was observed that the failure mode with the highest risk priority number value with 576 points in the pre-analytical phase occurred in the identification process.

Conclusion: With the FMEA procedure that can be included in the laboratory"s quality system, it is expected to minimize the possibility of errors in the pre-analytical phase and improve the quality of laboratory tests. Keywords : Medical laboratory, pre-analytical phase, risk management, failure mode and effects analysis