Quality Control in the age of Risk Management, An Issue of Clinics in Laboratory Medicine, 1st Edition
著者 :
Edited by James O. Westgard, Ph.D., FACB and Sten Westgard, MS
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
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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.
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.
著者情報
Edited by James O. Westgard, Ph.D., FACB, Private Practice and Sten Westgard, MS, Private Practice
https://shop.elsevier.jp/quality-control-in-the-age-of-risk-management-an-issue-of-clinics-in-laboratory-medicine-9781455772315.html319943Quality Control in the age of Risk Management, An Issue of Clinics in Laboratory Medicinehttps://secure-ecsd.elsevier.com/covers/80/Tango2/large/9781455772315.jpg10674.312558JPYInStock/Medicine/Hematology/Medicine/Pathology/Medicine/Clinical/General Medicine/eBooks/Medicine/Hematology/Medicine/Pathology/Medicine/Clinical/General Medicine/Medicine/Hematology/Medicine/Pathology/Medicine/Clinical/General Medicine/eBooks/Product Format/E-Book/Product Format/E-Book/Product Format/E-Book5054622505455650545915054665580357858035675803528525991152598365259874525504059368005936827593683214886536505455357998925803526514512052598335259873593679959368235936828In 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. 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.00add-to-cart97814557723152013専門医Edited by James O. Westgard, Ph.D., FACB and Sten Westgard, MS20131E-BookElsevier02013/03/28IN STOCKEdited by <STRONG>James O. Westgard</STRONG>, Ph.D., FACB, Private Practice and <STRONG>Sten Westgard</STRONG>, MS, Private PracticeE-BookE-BookThe Clinics: Internal Medicine米国いいえYesYesいいえいいえ選択してください選択してくださいいいえいいえ選択してください