Using Data Trends to Improve Microbial Risk Detection in Food Safety Systems

May 28, 2026 (1:00 PM -2:00 PM Eastern Time)

Webinar Description

Food safety professionals routinely collect large volumes of data from environmental monitoring, process controls, and routine testing programs. However, these data are often used primarily for compliance rather than proactive risk detection. This webinar will demonstrate how trend-based analysis of routine monitoring data can help identify early signals of microbial risk before contamination events occur. Practical examples will illustrate how environmental testing results, temperature monitoring, and process control records can be used to detect emerging hazards and guide preventive actions. The session will also highlight risk-based approaches for prioritizing interventions and allocating resources to high-risk areas. By shifting from reactive to proactive data use, food safety teams can strengthen contamination prevention strategies and improve decision-making within food manufacturing and supply chain environments.

Learning Objectives:

1.Describe common challenges in detecting microbial risks in food processing environments.

2.Explain how trend analysis of routine monitoring data can identify emerging contamination risks.

3.Apply risk-based thinking to prioritize corrective actions in food safety systems.

4.Identify practical strategies for using environmental and process data to improve contamination prevention