The presentation will provide an overview of the key areas being addressed, accompanied by a case study and its outcomes for each area. The presentation will outline common challenges in sample collection, handling, transportation, and processing, and offers practical strategies to mitigate these issues. Key recommendations include standardizing collection protocols, implementing temperature monitoring, leveraging automation and digitization, optimizing processing times, establishing quality assurance programs, and conducting validation studies for sample stability. The presentation will present real-world case studies demonstrating the successful application of these strategies, highlighting the benefits of adopting best practices.
Learning Objectives:
Understand the significance of pre-analytical variables and their impact on data accuracy and reproducibility.
Identify common challenges in sample collection, handling, transport, and processing.
Learn practical strategies for controlling and minimizing pre-analytical variability, including the use of technology and automation.
