scholarly journals Assessing Quality Control Strategies for HbA1c Measurements From a Patient Risk Perspective

2018 ◽  
Vol 12 (4) ◽  
pp. 786-791 ◽  
Author(s):  
Curtis A. Parvin ◽  
Nikola A. Baumann

Background: Current laboratory risk management principles emphasize the importance of assessing laboratory quality control (QC) practices in terms of the risk of patient harm. Limited practical guidance or examples on how to do this are available. Methods: The patient risk model described in a published laboratory risk management guideline was combined with a recently reported approach to computing the predicted probability of patient harm to produce a risk management index (RMI) that compares the predicted probability of patient harm for a QC strategy to the acceptable probability of patient harm based on the expected severity of harm caused by an erroneously reported patient result. Results: Measurement procedure capability and quality control performance for two instruments measuring HbA1c in a laboratory were assessed by computing the RMI for each instrument individually and for the laboratory as a whole. Conclusions: This assessment provides a concrete example of how laboratory QC practices can be directly correlated to the risk of patient harm from erroneously reported patient results.

2020 ◽  
Author(s):  
Daniela Karnutsch ◽  
Francesca Occhipinti ◽  
Daniel Tumiatti ◽  
Thomas Mueller

Abstract Objective The consideration of the principles of risk management in the analytical process is a current trend. The aim of this study was to evaluate whether the risk management index (RMI) for various laboratory parameters can be influenced by interventions that change the internal quality control (IQC) strategy. Methods We selected 10 laboratory parameters associated with cardiovascular disease for the study (myoglobin, N-terminal fragment of the pro B-type natriuretic polypeptide, cardiac troponin T, creatinine kinase, lactate dehydrogenase, glucose, triglycerides, total cholesterol, and low-density lipoprotein and high-density lipoprotein cholesterol). The study-specific interventions included changing the IQC rules and changing the IQC schedule. This was a one-armed intervention study in which changes in the RMI, a measure of patient harm risk, was recorded over time. Results Before the intervention, the mean RMI was 1.022 (95% confidence interval [CI], 0.269–1.776). After the intervention, the mean RMI was 0.934 (95% CI, 0.088–1.956). The RMI values before and after the intervention were not significantly different (P =.89). Conclusion The study-specific interventions did not lead to an improvement of the RMI in the clinical routines of a medical laboratory. There is a great need to further explore this subject area with interventional studies to clarify how the risk of unintended patient harm can be measurably improved.


2019 ◽  
Vol 3 (2) ◽  
pp. 111-122
Author(s):  
Michal Plaček ◽  
Milan Půček ◽  
František Ochrana ◽  
Milan Křápek ◽  
Ondřej H. Matyáš

This paper deals with the analysis of risks which threaten the future sustainability and operations of agricultural museums in the Czech Republic. In the section on methodology, an applicable risk model has been proposed regarding the condition of museums in the Czech Republic. Using this model, the directors of agricultural museums can assess the most significant risks which may jeopardize the sustainability of museum operations over a three-year period. The greatest risks, according to museum directors, are a lack money for investment, the inability to retain high-quality staff, and issues with technical support for exhibitions. Assessing the importance of risk is positively associated with previous experiences of a particular type of risk, whereas the association of the importance of risk with previous managerial practice is rather inconclusive.


2002 ◽  
Vol 21 (2) ◽  
pp. 97-113 ◽  
Author(s):  
Timothy B. Bell ◽  
Jean C. Bedard ◽  
Karla M. Johnstone ◽  
Edward F. Smith

This paper describes the development and implementation of KRisk, an innovative technology-enabled auditor decision aid for making client acceptance and continuance risk assessments. KRisk, developed and designed by KPMG LLP, is part of the firm's audit quality control and risk management processes. In this paper, we discuss the environmental and technological forces that affect auditor business risk management. We also describe important aspects of the development, functionality, and implementation of KRisk. We discuss possible impediments to realizing the full potential of decision aids that have been reported in prior auditing research, and describe how KRisk and related audit quality control procedures implemented at KPMG were designed to overcome such impediments. Also, we present some ideas for scholarly research dealing with auditor business risk management issues, and issues related to the design and use of decision aids in general.


2021 ◽  
Vol 14 (5) ◽  
pp. 211
Author(s):  
Iryna Yanenkova ◽  
Yuliia Nehoda ◽  
Svetlana Drobyazko ◽  
Andrii Zavhorodnii ◽  
Lyudmyla Berezovska

This article deals with the issue of managing bank credit risk using a cost risk model. Modeling of bank credit risk management was proposed based on neural-cell technologies, which expand the possibilities of modeling complex objects and processes and provide high reliability of credit risk determination. The purpose of the article is to improve and develop methodical support and practical recommendations for reducing the level of risk based on the value-at-risk (VaR) methodology and its subsequent combination with methods of fuzzy programming and symbiotic methodical support. The model makes it possible to create decision support subsystems for nonperforming loan management based on the neuro-fuzzy approach. For this paper, economic and mathematical tools (based on the VaR methodology) were used, which made it possible to analyze and forecast the dynamics of overdue payment; assess the quality of the credit portfolio of the bank; determine possible trends in bank development. A scientific and practical approach is taken to assess and forecast the degree of credit problematicity by qualitative criteria using a mathematical model based on a fuzzy technology, which can forecast the increased risk of loan default at an early stage in the process of monitoring the loan portfolio and model forecasting changes in the degree of credit problematicity on change of indicators. A methodology is proposed for the analysis and forecasting of indicators of troubled loan debt, which should be implemented as software and included in the decision support system during the process of monitoring the risk of the bank’s credit portfolio.


Author(s):  
Анатолий Михайлович Лепихин ◽  
Николай Андреевич Махутов ◽  
Юрий Иванович Шокин ◽  
Андрей Васильевич Юрченко

Рассмотрены основные методологические аспекты анализа рисков технических систем с использованием цифровых двойников. Сформулирована концепция рисканализа и предложена базовая модель для ее реализации. Рассмотрены информационные аспекты анализа неопределенностей модели риска. Показано, что технологии цифровых двойников позволяют эффективно сочетать результаты компьютерного моделирования с данными мониторинга реальных объектов, обеспечивая более глубокий анализ объектов, с учетом множества вариантов конструкции, технологий и условий эксплуатации Development of technology and technical systems significantly increases in the volume of information. Traditional methods for designing, manufacturing and operating of technical systems do not allow processing such volumes of information. In this regard, the modern strategy for creating technical systems is based on the use of digital twins. Solving the problems of risk analysis and risk management for technical systems at all stages of the life cycle appears to be one of the promising areas for application of the digital twins technology. Despite of active research, using digital twins in risk analysis currently do not have appropriate methodological justifications and technical solutions in a number of key aspects. In particular, effective reductions of the order of risk models and quantifying uncertainty factors of various types have not been solved. The concept of the risk-informed decision making in product lifecycle management has not been implemented. In fact, there are very few publications on the risk analysis and risk management methodology using digital twins. The article discusses the main methodological aspects of risk analysis of technical systems using digital twins. The concept of risk analysis is formulated and a basic model for its implementation is proposed. The informational aspects of the analysis of uncertainties of the risk model are considered. It is shown that digital twin technologies allow effective combination of the results of computer modelling with the data monitoring of real objects, providing a deeper analysis of objects, taking into account a variety of design options, technologies and operating conditions.


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