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Lessons in diagnostic virology: expected and unexpected sources of error
Gert van Zyl1,2, Jean Maritz1,3, Howard Newman1,2
1Division of Medical Virology, Department Pathology, Stellenbosch University, Faculty of Medicine and Health Sciences, Parow, South Africa.
Innovations in viral diagnostics, including serological and molecular assays, have improved sensitivity. However, new automated platforms and global use introduce unexpected diagnostic errors, necessitating strategies for error identification and mitigation in patient care.
Area of Science:
- Clinical diagnostics
- Virology
- Medical laboratory science
Background:
- Viral diagnostic assays, including serological and molecular methods, have advanced significantly in sensitivity.
- Automated platforms and global market expansion increase the application of commercial assays in diverse settings.
- Novel diagnostic developments introduce new and often unexpected sources of error.
Purpose of the Study:
- To review case studies highlighting underappreciated diagnostic errors in viral testing.
- To examine errors across pre-analytical, analytical, and post-analytic phases of diagnostic processes.
- To propose methods for identifying and reducing the impact of diagnostic errors on patient management.
Main Methods:
- Review of case studies focusing on diagnostic errors in viral testing.
- Analysis of errors spanning pre-analytical, analytical, and post-analytic stages.
- Discussion of strategies for error detection and mitigation.
Main Results:
- Case studies reveal underappreciated and unexpected sources of diagnostic error in viral testing.
- Errors can occur at any stage of the diagnostic process: pre-analytical, analytical, and post-analytic.
- The globalization of diagnostics and use of automated platforms contribute to error emergence.
Conclusions:
- Despite advancements, diagnostic errors in viral testing remain a significant concern.
- Systematic approaches are needed to identify and address errors in viral diagnostics.
- Implementing strategies to reduce diagnostic errors is crucial for improving patient management and outcomes.
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