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.
1. Cover image - p. i 2. Title page - p. i 3. Table of Contents - p. i 4. Copyright - p. ii 5. Contributors - p. iii 6. Forthcoming Issues - p. xii 7. Preface - p. xiii 8. Measuring Analytical Quality: Total Analytical Error Versus Measurement Uncertainty - p. 1 9. Uncertainty in Measurement and Total Error: Tools for Coping with Diagnostic Uncertainty - p. 15 10. Rhetoric Versus Reality? Laboratory Surveys Show Actual Practice Differs Considerably from Proposed Models and Mandated Calculations - p. 35 11. Biologic Variation Approach to Daily Laboratory - p. 47 12. Understanding the Use of Sigma Metrics in Hemoglobin A1c Analysis - p. 57 13. State-of-the-art Approach to Goal Setting - p. 73 14. Six Sigma Quality Management System and Design of Risk-based Statistical Quality Control - p. 85 15. Sigma Metrics Across the Total Testing Process - p. 97 16. Metrological Traceability of Assays and Comparability of Patient Test Results - p. 119 17. A Total Quality-Control Plan with Right-Sized Statistical Quality-Control - p. 137 18. Accreditation of Individualized Quality Control Plans by the College of American Pathologists - p. 151 19. Sunway Medical Laboratory Quality Control Plans Based on Six Sigma, Risk Management and Uncertainty - p. 163 20. Applying Sigma Metrics to Reduce Outliers - p. 177 21. Quality Indicators for the Total Testing Process - p. 187 22. Using Sigma Quality Control to Verify and Monitor Performance in a Multi-Instrument, Multisite Integrated Health Care Network - p. 207
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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.
1. Cover image - p. i 2. Title page - p. i 3. Table of Contents - p. i 4. Copyright - p. ii 5. Contributors - p. iii 6. Forthcoming Issues - p. xii 7. Preface - p. xiii 8. Measuring Analytical Quality: Total Analytical Error Versus Measurement Uncertainty - p. 1 9. Uncertainty in Measurement and Total Error: Tools for Coping with Diagnostic Uncertainty - p. 15 10. Rhetoric Versus Reality? Laboratory Surveys Show Actual Practice Differs Considerably from Proposed Models and Mandated Calculations - p. 35 11. Biologic Variation Approach to Daily Laboratory - p. 47 12. Understanding the Use of Sigma Metrics in Hemoglobin A1c Analysis - p. 57 13. State-of-the-art Approach to Goal Setting - p. 73 14. Six Sigma Quality Management System and Design of Risk-based Statistical Quality Control - p. 85 15. Sigma Metrics Across the Total Testing Process - p. 97 16. Metrological Traceability of Assays and Comparability of Patient Test Results - p. 119 17. A Total Quality-Control Plan with Right-Sized Statistical Quality-Control - p. 137 18. Accreditation of Individualized Quality Control Plans by the College of American Pathologists - p. 151 19. Sunway Medical Laboratory Quality Control Plans Based on Six Sigma, Risk Management and Uncertainty - p. 163 20. Applying Sigma Metrics to Reduce Outliers - p. 177 21. Quality Indicators for the Total Testing Process - p. 187 22. Using Sigma Quality Control to Verify and Monitor Performance in a Multi-Instrument, Multisite Integrated Health Care Network - p. 207
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