Urgent Samples in Clinical Laboratories: Stochastic Batching to Minimize Patient Turnaround Time
Antonin Novak; Andrzej Gnatowski; Premysl Sucha · 2025 · arXiv
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The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
This paper addresses the problem of batching laboratory samples in hospital laboratories where samples of different priorities are received continuously with uncertain transportation times. The focus is on optimizing the control strategy for loading a centrifuge to minimize patient turnaround time (TAT). While focusing on samples of patients in life-threatening situations (i.e., vital samples), we propose several online and offline methods, including a stochastic mixed-integer quadratic programming model integrated within a discrete-event system simulation. This paper aims to enhance patient c
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Metadata source: arXiv