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Showing 2 results for Clinical Laboratory

Dargahi H, Rezaian M,
Volume 65, Issue 1 (3-2008)
Abstract

Background: Quality assurance is a prevention-oriented system that can be used to improve the quality of care, increase productivity and monitor the performance management in clinical laboratories. ISO 9001: 2000 requirements are a collection of management and technical systems designed to implement quality assurance and monitor performance management in organizations.
Methods: A checklist was prepared to monitor the preanalytical, analytical and postanalytical stages of laboratory performance management in 16 areas and all laboratory activities in 14 of the clinical laboratories of the Tehran University of Medical Sciences (TUMS) hospitals. Collected data were stored and statistically analyzed using SPSS software.
Results: The best performance, in which 77.73% of quality assurance indicators were observed, was found in Sina Hospital. However, only 57.56% of these indicators were fulfilled at Farabi Hospital, with the lowest-level performance among the clinical laboratories of TUMS hospitals. The highest level of compliance with quality assurance indicators was in the hematology departments and for facility demands in management areas. Overall, quality assurance indicators were appropriately followed in only 7% of the clinical laboratories.
Conclusion: The average quality assurance observation rate in the clinical laboratories studied was 67.22%, which is insufficient and must be remedied with stricter enforcement of the ISO 9001: 2000 regulations.
Mohammad Hossein Kalami , Zeinab Borjian Boroujeni , Peghah Ardi, Ahmad Abolfathi, Mohsen Babaei, Ali Asadi, Mahdi Zareei,
Volume 81, Issue 1 (4-2023)
Abstract

Background: Medical Laboratories have a great impact on patient safety and 80-90% of medical diagnoses are based on the results of laboratory tests. Medical procedures from the initial diagnostic steps such as a test or a simple injection to specialized treatment steps may be erroneous. The aim of this study was to determine the type and rate of human error, equipment, materials and procedures in all stages including before analysis, during analysis and after analysis to analyze the causes and find logical solutions to reduce of them.
Methods: This cross-sectional descriptive study was performed in a medical center in Tehran, Iran during the years 1400-1401. Data collection was considered in accordance with the instructions of the Laboratory Affairs Department of the Ministry of Health and Medical Education regarding the type of errors in the field of job description in each of the technical and non-technical sections. Data was analyzed by IBM SPSS software, version 22 (SPSS Inc., Chicago, IL, USA) software.
Results: During the period of study, the number of  referred patients was about 45,000 and the number of tests 594,000. The total number of errors was 837. The ratio of errors to the patients was 1.9% and to the tests 0.15%. The 37 types of errors were identified and reported in this study. Of these, 11 types of errors were in the pre-analysis, 14 types during the analysis and 12 types of errors in the post-analysis stage. The frequency of errors in the three stages was 180(21.5%), 312(37.3%) and 345(41.2%), respectively that the errors rate did not have a normal distribution and a significant difference was observed (P<0.05, df=2).
Conclusion: Due to the variety of reported errors and the importance of their role in other stages of diagnosis and treatment, it is necessary that all human, equipment and process errors in all stages of laboratory analysis be carefully recorded and corrective and preventive measures be taken to minimize them.


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