Systematic Error Detection In Laboratory Medicine
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| Author | : Amir Momeni-Boroujeni |
| Publisher | : |
| Total Pages | : |
| Release | : 2018 |
| Genre | : Economics |
| ISBN | : |
Measurements in laboratory medicine have a degree of uncertainty; this uncertainty is often called "error" and refers to imprecisions and inaccuracies in measurement. This measurement error refers to the difference between the true value of the measured sample and the measured value. One of the types of error is systematic error, also called bias, because these errors errors are reproducible and skew the results consistently in the same direction. A common approach to identify systematic error is to use control samples with a method comparison approach. An alternative is use of statistical methods that analyze actual patient values either as an "Average of Normals" or a "Moving Patient Averages." Fundamental questions should be decided before a quality control method is used: how are weights assigned to the results? Is preference given to more recent samples or to the older samples? How sensitive should the model be? In this chapter, we will expand the fundamental notion of systematic error and explain why it is difficult to identify and measure and current statistical methods that are used to detect systematic error or bias.
| Author | : Amitava Dasgupta |
| Publisher | : Elsevier |
| Total Pages | : 510 |
| Release | : 2019-07-20 |
| Genre | : Medical |
| ISBN | : 0128137770 |
Accurate Results in the Clinical Laboratory: A Guide to Error Detection and Correction, Second Edition, provides a comprehensive review of the factors leading to errors in all areas of clinical laboratory testing. This trusted guide addresses interference issues in all laboratory tests, including patient epigenetics, processes of specimen collection, enzymes and biomarkers. Clinicians and laboratory scientists will both benefit from this reference that applies discussions to both accurate specimen analysis and optimal patient care. Hence, this is the perfect reference for clinical laboratorians, from trainees, to experienced pathologists and directors. Provides comprehensive coverage across endocrine, oncology, hematology, immunohistochemistry, immunology, serology, microbiology, and molecular testing Includes new case studies that highlight clinical relevance and errors to avoid Highlights the best titles published within a variety of medical specialties Reviewed by medical librarians and content specialists, with key selections compiled in their annual list
| Author | : Amir Momeni |
| Publisher | : Springer |
| Total Pages | : 322 |
| Release | : 2017-09-07 |
| Genre | : Medical |
| ISBN | : 3319605437 |
This text provides a comprehensive and practical review of the main statistical methods in pathology and laboratory medicine. It introduces statistical concepts used in pathology and laboratory medicine. The information provided is relevant to pathologists both for their day to day clinical practice as well as in their research and scholarly activities. The text will begins by explaining the fundamentals concepts in statistics. In the later sections, these fundamental concepts are expanded and unique applications of statistical methods in pathology and laboratory medicine practice are introduced. Other sections of the text explain research methodology in pathology covering a broad range of topics from study design to analysis of data. Finally, data-heavy novel concepts that are emerging in pathology and pathology research are presented such as molecular pathology and pathology informatics. Introduction to Statistical Methods in Pathology will be of great value for pathologists, pathology residents, basic and translational researchers, laboratory managers and medical students.
| Author | : Gaffar Zaman |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 160 |
| Release | : 2018-08-22 |
| Genre | : Business & Economics |
| ISBN | : 1789234123 |
The book presents a qualitative and quantitative approach to understand, manage and enforce the integration of statistical concepts into quality control and quality assurance methods. Utilizing a sound theoretical and practical foundation and illustrating procedural techniques through scientific examples, this book bridges the gap between statistical quality control, quality assurance and quality management. Detailed procedures have been omitted because of the variety of equipment and commercial kits used in today's clinical laboratories. Instrument manuals and kit package inserts are the most reliable reference for detailed instructions on current analytical procedures.
| Author | : Shubangi Tambwekar |
| Publisher | : Wolters kluwer india Pvt Ltd |
| Total Pages | : |
| Release | : 2015-01-01 |
| Genre | : Medical |
| ISBN | : 9351293319 |
Quality Assurance (QA) is an integral and very important part of laboratory medicine. Pathologists, microbiologists, biochemists and laboratory technicians all need to be proficient in this subject. QA is also mandatory for obtaining accreditation, which ensures a certain level of quality in services being provided. The subject of Quality Assurance (QA), though not new, is a relatively neglected entity and is looked at with some degree of apprehension. This book is addressed to those entrusted with implementing Quality Assurance (QA) in laboratory medicine; generally, these are persons with basic training as pathologists. This handbook is meant as a beginner and handy guide to Quality Assurance; all the basics of Quality Assurance have been incorporated to encourage the beginner to make a start.
| Author | : Liam Donaldson |
| Publisher | : Springer Nature |
| Total Pages | : 496 |
| Release | : 2020-12-14 |
| Genre | : Medical |
| ISBN | : 3030594033 |
Implementing safety practices in healthcare saves lives and improves the quality of care: it is therefore vital to apply good clinical practices, such as the WHO surgical checklist, to adopt the most appropriate measures for the prevention of assistance-related risks, and to identify the potential ones using tools such as reporting & learning systems. The culture of safety in the care environment and of human factors influencing it should be developed from the beginning of medical studies and in the first years of professional practice, in order to have the maximum impact on clinicians' and nurses' behavior. Medical errors tend to vary with the level of proficiency and experience, and this must be taken into account in adverse events prevention. Human factors assume a decisive importance in resilient organizations, and an understanding of risk control and containment is fundamental for all medical and surgical specialties. This open access book offers recommendations and examples of how to improve patient safety by changing practices, introducing organizational and technological innovations, and creating effective, patient-centered, timely, efficient, and equitable care systems, in order to spread the quality and patient safety culture among the new generation of healthcare professionals, and is intended for residents and young professionals in different clinical specialties.
| Author | : National Academies of Sciences, Engineering, and Medicine |
| Publisher | : National Academies Press |
| Total Pages | : 473 |
| Release | : 2015-12-29 |
| Genre | : Medical |
| ISBN | : 0309377722 |
Getting the right diagnosis is a key aspect of health care - it provides an explanation of a patient's health problem and informs subsequent health care decisions. The diagnostic process is a complex, collaborative activity that involves clinical reasoning and information gathering to determine a patient's health problem. According to Improving Diagnosis in Health Care, diagnostic errors-inaccurate or delayed diagnoses-persist throughout all settings of care and continue to harm an unacceptable number of patients. It is likely that most people will experience at least one diagnostic error in their lifetime, sometimes with devastating consequences. Diagnostic errors may cause harm to patients by preventing or delaying appropriate treatment, providing unnecessary or harmful treatment, or resulting in psychological or financial repercussions. The committee concluded that improving the diagnostic process is not only possible, but also represents a moral, professional, and public health imperative. Improving Diagnosis in Health Care, a continuation of the landmark Institute of Medicine reports To Err Is Human (2000) and Crossing the Quality Chasm (2001), finds that diagnosis-and, in particular, the occurrence of diagnostic errorsâ€"has been largely unappreciated in efforts to improve the quality and safety of health care. Without a dedicated focus on improving diagnosis, diagnostic errors will likely worsen as the delivery of health care and the diagnostic process continue to increase in complexity. Just as the diagnostic process is a collaborative activity, improving diagnosis will require collaboration and a widespread commitment to change among health care professionals, health care organizations, patients and their families, researchers, and policy makers. The recommendations of Improving Diagnosis in Health Care contribute to the growing momentum for change in this crucial area of health care quality and safety.
| Author | : James O. Westgard |
| Publisher | : Elsevier Health Sciences |
| Total Pages | : 314 |
| Release | : 2017-02-06 |
| Genre | : Medical |
| ISBN | : 032347764X |
This issue of Clinics in Laboratory Medicine entitled “Risk, Error and Uncertainty: Laboratory Quality Management in the Age of Metrology will be guest edited by Sten Westgard, James Westgard, and David Armbruster. The issue will cover a broad range of topics related to management in the laboratory including but not limited to: Metrology Perspectives; Biologic Variation Approach to Daily Laboratory; Clinical Outcome Approach to Goal Setting; Six Sigma Quality Management System; Traceability and Comparability; MU, Risk, and Sigma-metrics at Sunway; and Quality Indicators for the Total Testing Process, among others.
| Author | : James O. Westgard |
| Publisher | : Elsevier Health Sciences |
| Total Pages | : 220 |
| Release | : 2013-03-28 |
| Genre | : Medical |
| ISBN | : 1455772313 |
In October of 2011, CLSI published a new guideline EP23A on “Laboratory Quality Control Based on Risk Management. In March, 2012, CMS announced its intention to incorporate key concepts from EP23A into its Interpretative Guidelines and QC policy for “Individualized Quality Control Plans. Thus begins a new era of Quality Control in the Age of Risk Management. This issue is intended to help laboratories with the transition between traditional QC practices and the new risk management approach. Laboratories face a steep learning curve to apply risk analysis for identifying and prioritizing failure-modes, developing and implementing control mechanisms to detect those failure-modes, and assessing the acceptability of the residual risks that exist after implementation of a QC Plan. One of the main benefits of the new risk analysis based QC Plans should be an integration of all the control mechanisms that are needed to monitor the total testing process, including pre-analytic, analytic, and post-analytic controls. One of the main risks of the new approach is an expectation that Statistical QC is no longer important, even though SQC still remains the most useful and flexible approach for monitoring the quality of the analytic process. The key to the future is the successful integration of all these control mechanisms to provide a cost-effective quality system that monitors all phases of the total testing process. This issue should help laboratories understand the evolution of QC practices to include risk management, but also to recognize the need to maintain traditional techniques such as Statistical QC, especially during the transition to well-designed and carefully-validated QC Plans. Risk analysis may be risky business unless laboratories proceed carefully and cautiously.
| Author | : Jeremie M. Gras |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 105 |
| Release | : 2017-03-06 |
| Genre | : Medical |
| ISBN | : 3110384531 |
Every clinical laboratory devotes considerable resources to Quality Control. Recently, the advent of concepts such as Analytical Goals, Biological Variation, Six Sigma and Risk Management has generated a renewed interest in the way to perform QC. However, laboratory QC practices remain highly non-standardized and a lot of QC questions are left unanswered. The objective of this book is to propose a roadmap for the application of an integrated QC protocol that ensures the safety of patient results in the everyday lab routine.
