Book Title: Molecular Diagnostics and Genomic Medicine: Transforming Healthcare with AI
Editors: Dr. Alok Kumar Srivastav, Dr. Priyanka Das, Dr. Babasaheb Ghodke, and Dr. Nikita Pathak
Chapter: 9
DOI: https://doi.org/10.59646/978-81-69297-97-4_9
Authors: Nikita Pathak, Alok Kumar Srivastav, Priyanka Das, Babasaheb Ghodke
Abstract
Quality assurance and quality control in molecular diagnostics are essential for ensuring accuracy, reliability, and clinical validity of test results across all stages of laboratory workflows. The chapter highlights the integration of QA (proactive, system-based processes) and QC (reactive performance monitoring) within a comprehensive quality management system covering pre-analytical, analytical, and post-analytical phases. Regulatory frameworks such as CLIA, CAP, and ISO 15189 are discussed as critical standards for laboratory accreditation, compliance, and global harmonization. The importance of rigorous validation and verification processes is emphasized to establish analytical and clinical performance of molecular tests. Internal and external quality control measures, including proficiency testing, ensure consistent performance and inter-laboratory comparability. Additionally, robust documentation practices, standard operating procedures, and error management strategies such as root cause analysis and corrective actions support continuous quality improvement. Collectively, these systems enhance patient safety, diagnostic accuracy, and overall laboratory excellence.
Keywords: Quality assurance, Quality control, Molecular diagnostics, Validation, Proficiency testing, Laboratory standards.
References
- Jennings, L., Van Deerlin, V. M., Gulley, M. L., et al. (2009). Recommended principles for validation of clinical molecular pathology tests. Archives of Pathology & Laboratory Medicine, 133(5), 743–755. https://doi.org/10.5858/133.5.743
- Srivastav, A. K., Das, P., & Srivastava, A. K. (2024). Biotech and IoT: An Introduction Using Cloud-Driven Labs. Apress, Berkeley, CA.
https://doi.org/10.1007/979-8-8688-0527-1 - Srivastav, D.A.K., Das, D.P. (2024). AI and IoT in Healthcare Operations Management. In Emerging Technologies in Healthcare 4.0: AI and IoT Solutions (pp. 269-291). Apress, Berkeley, CA. https://doi.org/10.1007/979-8-8688-1014-5_8
- Plebani, M. (2010). Errors in clinical laboratories or errors in laboratory medicine? Clinical Chemistry and Laboratory Medicine, 48(5), 617–622. https://doi.org/10.1515/CCLM.2010.123
- Srivastav, D.A.K., Das, D.P. (2024). Emerging Technologies in Healthcare 4.0: AI and IoT Solutions. Apress, Berkeley, CA. https://doi.org/10.1007/979-8-8688-1014-5
- Srivastav, A.K., & Das, P. (2025). Artificial Intelligence in the Production of Biotherapeutics: Principles, Practices and Standards (1st ed.). CRC Press. https://doi.org/10.1201/9781003624592
- Westgard, J. O. (2003). Internal quality control: Planning and implementation strategies. Annals of Clinical Biochemistry, 40(6), 593–611.
https://doi.org/10.1258/000456303770367199 - Srivastav, D.A.K., Das, D.P. (2025). Nanobiotechnology: AI and IoT Applications and Emerging Implications. Apress, Berkeley, CA.
https://doi.org/10.1007/979-8-8688-1775-5 - Srivastav, A.K., & Das, P. (2025). Production, Sanitation, and Sterile Packaging. In: Artificial Intelligence in the Production of Biotherapeutics: Principles, Practices and Standards (1st ed.) (pp 239-260). CRC Press. https://doi.org/10.1201/9781003624592 -9
- Srivastav, D.A.K., Das, D.P. (2024). Future Perspectives and Challenges. In Emerging Technologies in Healthcare 4.0: AI and IoT Solutions (pp. 307-318). Apress, Berkeley, CA. https://doi.org/10.1007/979-8-8688-1014-5_10
- Greiner, M., & Gardner, I. A. (2000). Epidemiologic issues in the validation of diagnostic tests. Preventive Veterinary Medicine, 45(1–2), 3–22. https://doi.org/10.1016/S0167-5877(00)00114-8
- Srivastav, D.A.K., Das, D.P. (2024). Internet of Things in Healthcare. In Emerging Technologies in Healthcare 4.0: AI and IoT Solutions (pp. 59-113). Apress, Berkeley, CA. https://doi.org/10.1007/979-8-8688-1014-5_3
- Srivastav, D.A.K., Das, D.P. (2024). AI and IoT in Disease Diagnosis and Management. In Emerging Technologies in Healthcare 4.0: AI and IoT Solutions (pp. 253-267). Apress, Berkeley, CA. https://doi.org/10.1007/979-8-8688-1014-5_7
- Srivastav, D.A.K., Das, D.P. (2024). Introduction to Healthcare 4.0. In Emerging Technologies in Healthcare 4.0: AI and IoT Solutions (pp. 1-22). Apress, Berkeley, CA. https://doi.org/10.1007/979-8-8688-1014-5_1
- Sciacovelli, L., & Plebani, M. (2009). The IFCC working group on laboratory errors. Clinical Chemistry and Laboratory Medicine, 47(2), 141–145. https://doi.org/10.1515/CCLM.2009.041
- Srivastav, D.A.K., Das, D.P. (2025). Nanotechnology in Medicine. In: Nanobiotechnology: AI and IoT Applications and Emerging Implications (pp 303-311). Apress, Berkeley, CA. https://doi.org/10.1007/979-8-8688-1775-5_14