Quality Indicators for the Performance Evaluation at a Biochemistry Laboratory

2020 ◽  
Vol 9 (2) ◽  
pp. 18-33
Author(s):  
Zoi S. Athanasiadou ◽  
Antonia Mourtzikou ◽  
Marilena Stamouli ◽  
Petros Karkalousos
Keyword(s):  
Quality Indicators ◽  
Six Sigma ◽  
Risk Evaluation ◽  
Statistical Data ◽  
Statistical Tool ◽  
Iso 15189 ◽  
Biochemical Laboratory ◽  
Pareto Method ◽  
Analytical Phase

The use of quality indicators and risk evaluation are valuable tools for maintaining the quality of laboratory tests. There are both requirements of ISO 15189: 2012 and are usually based on common statistical and empirical data. The purpose of the present study was the quality quantification and risk evaluation through the collection, study, and analysis of quality indicators covering the pre-analytical, analytical, and post-analytical phases of the laboratory testing process. Statistical data was collected for the period from 1/12/2017 to 28/2/2018, using the LIS of Biochemical Laboratory. QIs were evaluated using the Six Sigma method and the Pareto statistical tool. FMEA risk analysis was performed, while the degree of risk priority with the Pareto method. The results show that in the analytical phase the QIs give us satisfactory values, while those in the pre- and post- analytical phases need further preventive/corrective actions in order to overcome the problems raised by the QIs. Thus, the fully automatization and computerization of the laboratory is needed.

The Implementation of Clinical Laboratory Quality Indicators in the Era of the COVID-19 Pandemic

2022 ◽  
pp. 215-229
Author(s):  
Antonia Mourtzikou ◽  
Marilena Stamouli ◽  
Georgia Kalliora ◽  
Ioanna Petraki ◽  
Christina Seitopoulou ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Quality Indicators ◽  
Six Sigma ◽  
Laboratory Testing ◽  
Laboratory Tests ◽  
Clinical Laboratory ◽  
Iso 15189 ◽  
Pareto Method ◽  
Analytical Phase

The use of quality indicators (QIs) and risk assessment are valuable tools for maintaining the quality of laboratory tests. Both are requirements of ISO 15189: 2012 and are usually based on standard statistical and empirical data. In this chapter, the authors focus on evaluating clinical laboratory quality indicators in the era of the COVID-19 pandemic. The goal is to pose and discuss, based on the authors' experience, the quality evaluation and risk assessment through the collection, study, and analysis of quality indicators covering the pre-analytical, analytical, and post-analytical phases of the laboratory testing process. QIs were evaluated using the Six Sigma method. Moreover, FMEA risk analysis was performed, and the degree of risk priority was assessed using the Pareto method. The results show that in the analytical phase, the laboratory's performance is satisfactory, while the pre-and post-analytical phases need further preventive/corrective actions.

Performance criteria and quality indicators for the pre-analytical phase

2015 ◽  
Vol 53 (6) ◽  
Author(s):  
Mario Plebani ◽  
Laura Sciacovelli ◽  
Ada Aita ◽  
Michela Pelloso ◽  
Maria Laura Chiozza
Keyword(s):  
Quality Indicators ◽  
Performance Criteria ◽  
Analytical Quality ◽  
Performance Targets ◽  
Laboratory Services ◽  
Quality Specifications ◽  
Analytical Phase ◽  
Total Testing Process ◽  
The Individual

AbstractThe definition, implementation and monitoring of valuable analytical quality specifications have played a fundamental role in improving the quality of laboratory services and reducing the rates of analytical errors. However, a body of evidence has been accumulated on the relevance of the extra-analytical phases, namely the pre-analytical steps, their vulnerability and impact on the overall quality of the laboratory information. The identification and establishment of valueable quality indicators (QIs) represents a promising strategy for collecting data on quality in the total testing process (TTP) and, particularly, for detecting any mistakes made in the individual steps of the pre-analytical phase, thus providing useful information for quality improvement projects. The consensus achieved on the developed list of harmonized QIs is a premise for the further step: the identification of achievable and realistic performance targets based on the knowledge of the state-of-the-art. Data collected by several clinical laboratories worldwide allow the classification of performances for available QIs into three levels: optimum, desirable and minimum, in agreement with the widely accepted proposal for analytical quality specifications.

The Islamic Banking, Asset Quality: “Does Financing Segmentation Matters” (Indonesia Evidence)

2018 ◽  
Vol 9 (5) ◽  
pp. 221-235 ◽  
Author(s):  
Lucky Nugroho ◽  
Nurul Hidayah ◽  
Ahmad Badawi
Keyword(s):  
Financial Stability ◽  
Quantitative Method ◽  
Statistical Data ◽  
Islamic Banking ◽  
Islamic Banks ◽  
Statistical Tool ◽  
Segmentation Strategy ◽  
Regression Test ◽  
Asset Quality

Abstract Bank stability becomes one of the crucial pillars in maintaining economic growth. Therefore, the segmentation strategy is needed because it aims to improve the financial stability of the bank (decrease Non-Performing Loan-NPL / Non-Performing Financing-NPF). This study aims to determine the effect of segmentation on the quality of Islamic banks proxied with NPF. The method used is a quantitative method with multiple regression test and statistical tool Stata version 13. From the results of statistical data, it is known that the retail segment has a more significant influence than the wholesale segment, which is 92.61% and 56.05%. Therefore, sharia banks should have their business priorities in the retail segment, especially business in the microfinance segment by maintaining the quality of financing through selective financing channeling.

Six Sigma concept for assessment the quality of pre-analytical phase

2020 ◽  
Vol 9 (2) ◽  
pp. 11
Author(s):  
O.A. Klimenkova ◽  
V.P. Pashkova ◽  
T.M. Ivashikina ◽  
V.S. Berestovskaya
Keyword(s):  
Six Sigma ◽  
Analytical Phase

scholarly journals Evaluation of pre-analytical phase performance of emergency laboratory by harmonized quality indicators and six sigma

2021 ◽  
Vol 9 (2) ◽  
pp. 64-70
Author(s):  
Arumalla VK ◽  
Chelliah S ◽  
Madhubala V
Keyword(s):  
Patient Safety ◽  
Quality Indicators ◽  
Six Sigma ◽  
Working Group ◽  
Clinical Chemistry ◽  
International Federation ◽  
Laboratory Errors ◽  
The World ◽  
Analytical Phase ◽  
Analytical Errors

Background: Pre-analytical errors account for up to 70% of all the errors made in laboratory diagnostics which are mostly not directly under laboratory control. Laboratories across the world have been using different Quality indicators (QIs) for identifying and quantification of pre-analytical errors. Objective of the present study is to identify the different pre-analytical errors with their frequency and to assess the pre-analytical phase performance of emergency laboratory by using harmonized Quality Indicators and six sigma metrics. Methods and material: A prospective observational study was conducted from January 2019 to December 2019 to monitor the inappropriateness of samples and test request forms. We have quantified the performance of pre-analytical phase of our emergency laboratory based on the harmonized QIs proposed by The International Federation of Clinical Chemistry Working Group on Laboratory Errors and Patient Safety (IFCC- WGLEPS) and six sigma metrics. Results: Emergency laboratory received a total of 55431 samples during Jan- 2019 to Dec- 2019. Number of pre-analytical errors were 1089 which accounted for 1.96% of total samples received. Haemolysed samples, clotted samples and samples with insufficient volume were contributed to 37%, 26% and 15% of the total pre-analytical errors respectively. Conclusions: Pre-analytical phase performance of our emergency laboratory complies with the quality specifications laid by the International Federation of Clinical Chemistry Working Group on Laboratory Errors and Patient Safety (IFCC-WGLEPS). Implementation of harmonised QIs assures the comparability of laboratory findings with different laboratories across the world.

PRACTICALAPPLICATION OF SIX SIGMA DMAIC METHODOLOGY IN EVALUATION OF PRE-ANALYTICAL QUALITY INDICATORS IN LABORATORY SETTINGS

2021 ◽  
pp. 1-3
Author(s):  
Shailesh Gahukar ◽  
Gitika Gitika ◽  
Ashok Kumar
Keyword(s):  
Quality Indicators ◽  
Six Sigma ◽  
Rejection Rate ◽  
Visual Aids ◽  
Sampling Errors ◽  
Analytical Quality ◽  
Form Errors ◽  
Phase Errors ◽  
Sampling Process ◽  
Analytical Phase

The Six Sigma is a global management methodology that empowers clinical laboratories by better understanding of the quality in their laboratories and helps in improving quality and subsequently reducing laboratory costs. The objective of this prospective study was to practically apply Six Sigma on pre-analytical quality indicators i.e. pre-analytical phase errors of “Total Testing Process” in laboratory at PGIMER Satellite Centre, Sangrur (Punjab). In this study Six Sigma DMAIC ( Dene, Measure, Analyse, Improvement and Control) methodology was applied on routine Outpatient Department (OPD) samples received in hematology and biochemistry laboratory from May, 2020 to July, 2020 after institutional ethical committee permission. Pre-analytical phase errors were taken as pre-analytical quality indicators and were broadly classied in to requisition form and sampling errors. Sigma values and frequencies were calculated using Westgard formula present online at (www. westgard.com > six sigma calculators) for pre-analytical phase errors. After that Improvement phase of DMAIC methodology was done by training of laboratory technicians or personell involved in pre-analytical phase by audio-visual aids. Six Sigma values were calculated again after improvement phase. A total of 787 requisition forms and 1105 samples were studied before improvement phase and 889 requisition forms and 1400 samples were studied after improvement phase. Before improvement phase, overall requisition form errors were working at 2.9 sigma and sampling process was working at 3.1 sigma but after improvement phase, requisition form errors were working at 3.3 sigma and sampling process was working at 3.5 sigma. Before and after improvement phase the sample rejection rate in laboratory improved from 1.90% to 0.93% highlighting the benecial concept of six sigma in laboratory in pre-analytical phase leading to increased clinicians and patients'satisfaction and prevents unusual delaying of reports.

scholarly journals THE DEVELOPMENT OF SUPPORTING TOOL APPLICATION SOFTWARE FOR PROCESSING STATISTICAL DATA BASED ON VISUAL BASIC APPLICATION (VBA)

EDUTECH ◽  
2015 ◽  
Vol 14 (1) ◽  
pp. 125
Author(s):  
Rita Mariyana
Keyword(s):  
Early Childhood ◽  
Data Processing ◽  
Statistical Data ◽  
Early Childhood Teacher ◽  
Task Completion ◽  
Statistical Tool ◽  
Purposive Sampling ◽  
Statistical Data Processing ◽  
Quality Of Learning

Abstract. This study aims to develop to improve the quality of learning by making statistical data processing tools are easy to understand, easy to use by following the flow and statistical methods so that students can quickly perform data processing in both subjects for task completion and the completion of an essay, a thesis or a dissertation. To describe the results of a study to improve the quality of learning with this statistical tool research uses descriptive method, the purposive sampling technique to students taking statistics courses in early childhood teacher education study program Indonesia University of Education. Data from the study, questionnaires, interviews, observation and documentary studies analyzed by quantitative and qualitative techniques. The final product of this study is to improve the quality of products tools of statistical data processing and statistical are quickly understood and easily used not only for Early Childhood Education students but for students taking a statistics course.Keywords   : Tools, Learning Media, Process, Statistics Abstrak. Penelitian ini bertujuan melakukan pengembangan untuk meningkatkan mutu pembelajaran dengan membuat alat bantu olahdata Statistik yang mudah dipahami, mudah digunakan dengan mengikuti alur dan metode Statistik sehingga mahasiswa dapat dengan cepat dan mudah dalam melakukan pengolahan data baik itu untuk penyelesaian tugas mata kuliah maupun penyelesaian skripsi, tesis, ataupun disertasi. Untuk mendeskripsikan hasil penelitian dari peningkatan mutu pembelajaran dengan alat bantu Statistik ini penelitian menggunakan metode quasi eksperimen, dengan teknik purposive sampling pada mahasiswa yang mengikuti mata kuliah Statistik pada Program Studi Pendidikan Guru Pendidikan Anak Usia Dini Fakultas Ilmu Pendidikan Universitas Pendidikan Indonesia. Produk akhir penelitian peningkatan mutu pembelajaran ini adalah produk aplikasi alat bantu olahdata Statistik untuk mata kuliah statistik yang cepat dipahami dan mudah digunakan untuk semua mahasiswa yang mengambil mata kuliah Statistik serta untuk pengolahan data penelitian. Kata Kunci :  Alat Bantu, Olahdata, Statistik

Criteria for evaluation of the coordinate measurements quality of parts geometric parameters at pilot-experimental production

2019 ◽  
pp. 3-8
Author(s):  
N.Yu. Bobrovskaya ◽  
M.F. Danilov
Keyword(s):  
Quality Indicators ◽  
Quality Management System ◽  
Technical Specification ◽  
Experimental Production ◽  
Technological Heredity ◽  
Coordinate Measurements ◽  
Reasonable Choice ◽  
The Stability ◽  
Geometric Elements

The criteria of the coordinate measurements quality at pilot-experimental production based on contemporary methods of quality management system and traditional methods of the measurements quality in Metrology are considered. As an additional criterion for quality of measurements, their duration is proposed. Analyzing the problem of assessing the quality of measurements, the authors pay particular attention to the role of technological heredity in the analysis of the sources of uncertainty of coordinate measurements, including not only the process of manufacturing the part, but all stages of the development of design and technological documentation. Along with such criteria as the degree of confidence in the results of measurements; the accuracy, convergence, reproducibility and speed of the results must take into account the correctness of technical specification, and such characteristics of the shape of the geometric elements to be controlled, such as flatness, roundness, cylindrical. It is noted that one of the main methods to reduce the uncertainty of coordinate measurements is to reduce the uncertainty in the initial data and measurement conditions, as well as to increase the stability of the tasks due to the reasonable choice of the basic geometric elements (measuring bases) of the part. A prerequisite for obtaining reliable quality indicators is a quantitative assessment of the conditions and organization of the measurement process. To plan and normalize the time of measurements, the authors propose to use analytical formulas, on the basis of which it is possible to perform quantitative analysis and optimization of quality indicators, including the speed of measurements.

Using the alveograph in developing requirements for the quality of flour for wafer sheet production

2020 ◽  
Vol 29 (12) ◽  
pp. 52-58
Author(s):  
E.P. Meleshkina ◽  
◽  
S.N. Kolomiets ◽  
A.S. Cheskidova ◽  
◽  
...  
Keyword(s):  
Rheological Properties ◽  
Quality Indicators ◽  
Wheat Flour ◽  
Mathematical Statistics ◽  
Intended Purpose ◽  
The Future ◽  
Relationship Of ◽  
The Relationship

Objectively and reliably determined indicators of rheological properties of the dough were identified using the alveograph device to create a system of classifications of wheat and flour from it for the intended purpose in the future. The analysis of the relationship of standardized quality indicators, as well as newly developed indicators for identifying them, differentiating the quality of wheat flour for the intended purpose, i.e. for finished products. To do this, we use mathematical statistics methods.

The impact of sex, gender and healthcare system on quality of care among young adults with acute myocardial infarction

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
V Raparelli ◽  
L Pilote ◽  
H Behlouli ◽  
J Dziura ◽  
H Bueno ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Young Adults ◽  
Quality Of Care ◽  
Healthcare System ◽  
Quality Indicators ◽  
Funding Source ◽  
Post Discharge ◽  
Single Payer

Abstract Background The quality of care among young adults with acute myocardial infarction (AMI) may be related to biological sex, psycho-socio-cultural (gender) determinants or healthcare system-level factors. Purpose To examine whether sex, gender, and the type of healthcare system influence the quality of AMI care among young adults. Methods A total of 4,564 AMI young adults (<55 years) (59% women, 47 years, 66% US) were analyzed from the VIRGO and GENESIS-PRAXY studies consisting of single-payer (Canada, Spain) versus multipayer (US) systems. For each patient treated in each system we calculated a quality of care score (QCS) for pre-AMI (1-year pre admission), in-hospital, and post-AMI (1-year post discharge) phases of care (number of quality indicators received divided by the total number [range=0–100%], with higher scores indicating better quality). Ordinal logistic or linear regression models, and 2-way interactions between sex, gender and healthcare system were tested. Results Women in the multipayer system had the highest risk factor burden. Across the phases of care for AMI, 20% of quality indicators were missed in both sexes. High stress, earner status, and social support were associated with a higher QCS in the pre-AMI phase, whereas only employment and earner status were associated with QCS in all other phases. In the pre-AMI phase, women had higher QCS than men, mainly in the single-payer system (adjusted-OR=1.85, 95% CI 1.46,2.35 vs. 1.07, 95% CI 0.84,1.36, P-interaction= 0.002). Regardless of sex, only employment status had a greater effect in the multipayer system (adjusted-OR=0.59, 95% CI 0.44,0.78 vs 1.13, 95% CI 0.89,1.44, P-interaction <0.001). In the in-hospital phase, women had a lower QCS than men, especially in the multipayer system (adjusted-mean-difference: −2.48, 95% CI-3.87, −1.08). Employment was associated with a higher QCS (2.0, 95% CI 0.9–3.17, P-interaction >0.05). Finally, in the post-AMI phase, men and women had a lower QCS, predominantly in the multipayer system. However, primary earners had higher QCS regardless of system. Conclusion Sex, gender, and healthcare system affected the quality of care after AMI. Women had a poorer in-hospital than men and both women and men had suboptimal post-discharge care. Being unemployed lowered the quality of care, more so in the multipayer system. Funding Acknowledgement Type of funding source: Public grant(s) – National budget only. Main funding source(s): Canadian Institutes of Health and Research (CIHR)

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