1 Introduction With the continuous evolution of medical diagnostic models, medical laboratories have assumed an increasingly prominent role in disease screening, therapeutic monitoring and public health management [1-4]. The growing demand for testing has imposed higher requirements on analytical efficiency and quality. In this context, total laboratory automation (TLA) systems have been widely adopted as key instruments to enhance testing capacity and ensure data accuracy [5-7].
