Artificial intelligence algorithm optimization and application in patient-based real-time quality control (PBRTQC)

IF 2.9 3区医学 Q2 MEDICAL LABORATORY TECHNOLOGY

Clinica Chimica Acta Pub Date : 2026-05-15 Epub Date: 2026-03-05 DOI:10.1016/j.cca.2026.120946

Bowen Su , Yanpeng Zhang , Xiaomin Shi

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引用次数: 0

Abstract

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.

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人工智能算法优化及其在基于患者的实时质量控制中的应用。

基于患者的实时质量控制（PBRTQC）是临床实验室质量管理的重要补充。其核心原则是通过患者的检测数据实时、连续地监控检测过程。随着人工智能技术的快速发展，人工智能为PBRTQC算法的创新提供了新的途径，推动了PBRTQC从传统的统计驱动模式向智能监控模式的转变。本文系统总结了人工智能驱动的PBRTQC算法优化的研究进展。同时详细介绍了AI-PBRTQC监测平台的临床应用。这些应用包括及时的质量控制预警，跨多个设置的均匀监测，复杂临床设置的精确质量控制，异常可追溯性和后续纠正。此外，本文还对AI-PBRTQC在实际实施过程中出现的挑战进行了深入分析。这些问题包括技术限制、专业人才短缺、系统兼容性障碍、标准化和监管滞后。探讨了未来的发展趋势，为PBRTQC的智能化升级提供了有价值的参考。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Clinica Chimica Acta 医学-医学实验技术

CiteScore

10.10

自引率

2.00%

发文量

1268

审稿时长

23 days

期刊介绍： The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells. The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.