Research Appraisals
Evidence-based critical appraisals of the latest medical research, systematically evaluated using Oxford CEBM methodology.
Showing 2 appraisals
Clinica chimica acta; international journal of clinical chemistry
Artificial intelligence algorithm optimization and application in patient-based real-time quality control (PBRTQC)
Patient-based real-time quality control (PBRTQC) serves as a vital supplement to quality management in clinical laboratories. Its core principle is to monitor the testing process in real time and continuously through patient test data. As artificial intelligence (AI) technology develops rapidly, AI has provided novel pathways for the innovation of PBRTQC algorithms and drives its transition from a traditional statistics-driven model to intelligent monitoring. This review systematically summarizes the progress of AI-driven PBRTQC algorithm optimization. Meanwhile, it provides a detailed account of the clinical applications of the AI-PBRTQC monitoring platform. These applications encompass timely quality control early warning, homogeneous monitoring across multiple settings, precise quality control in complex clinical settings, anomaly traceability and subsequent correction. In addition, this review offers an in-depth analysis of the challenges that arise during the practical implementation of AI-PBRTQC. These include technical limitations, shortage of professional talents, system compatibility barriers, and lagging standardization and regulation. It also explores future development trends and provides valuable references for the intelligent upgrade of PBRTQC.
16 May 2026
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Integration of the ISO 15189 quality management system in the undergraduate internship teaching of medical laboratory technology
BACKGROUND: The International Organization for Standardization (ISO) 15189 standard is essential for quality management in clinical laboratories, yet its integration into undergraduate medical laboratory technology education remains limited. This study aimed to evaluate the impact of a simulated laboratory teaching model based on the ISO 15189 standard on the quality management competencies of undergraduate interns and to compare it with traditional teaching methods. METHODS: A parallel-group, randomized controlled trial was conducted in the Department of Clinical Laboratory at the Second People's Hospital of Hunan Province (Brain Hospital of Hunan Province). A total of 60 undergraduate medical laboratory technology students scheduled to commence their clinical clerkship between July 2023 and May 2025 were enrolled and randomly allocated to an intervention group (n = 30) or a control group (n = 30). The intervention group received simulated laboratory teaching based on the ISO 15189 standard, including the construction of a quality management system and full-process simulated accreditation practice. The control group received traditional clinical clerkship teaching. Primary outcome measures were comprehensive assessment scores at the end of the internship (covering pre-examination, intra-examination, and post-examination quality control knowledge) and problem-solving ability scores in quality management roles. Secondary outcome measures included understanding of the quality management system, quality improvement awareness, and teaching satisfaction. RESULTS: Compared with the control group, the intervention group showed significantly higher scores in pre-examination quality control, intra-examination quality control, post-examination quality control, understanding of the quality management system, quality improvement awareness, and problem-solving ability in quality management roles (P < .01). Teaching feedback questionnaires also indicated higher satisfaction with the teaching model in the intervention group. CONCLUSION: For undergraduate medical laboratory technology interns, the simulated laboratory teaching model based on the ISO 15189 standard is significantly more effective than traditional teaching methods in enhancing their knowledge, skills, and competency in quality management.
19 Apr 2026
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