QuidelOrtho releases Episode 62 of the podcast, exploring how to transform data into actionable insights for laboratories
PR Newswire
1h ago
Ai Focus
QuidelOrtho Corporation released the 62nd episode of its Science Bytes podcast, focusing on AI and best practices in informatics, discussing how to make laboratory operations more efficient. In the episode, QuidelOrtho, the Vice President of Software Engineering for the global informatics platform Rodney Guzman, introduced how to transform scattered laboratory system results into meaningful clinical knowledge through structured informatics.
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San Diego, October 29th / PRNewswire / -- QuidelOrtho Corporation (Nasdaq ticker: QDEL), a leading global provider of diagnostic solutions, released the 62nd episode of its Science Bytes podcast, discussing how to use AI and best practices in informatics to make laboratory operations more efficient.

Laboratories are facing an increasingly complex working environment and a growing demand for testing. In the past, data in laboratories was often scattered across different systems, creating information silos. Laboratories need methods to integrate this data and to accelerate clinical decision-making. Informatics is a key tool for improving efficiency, performance, and data accuracy, which also has a practical impact on patients waiting for test results.

This episode is hosted by Josh Casey, and our guest is Rodney Guzman, the Vice President of Software Engineering at the QuidelOrtho Global Informatics Platform. He discussed how to utilize structured informatics to transform results from different laboratory systems into meaningful clinical knowledge.

Key points:

  • Clinical laboratories face staffing challenges, including a lack of professionals capable of managing complex testing scenarios.
  • AI is expected to optimize detection usage, eliminate duplicate detections, and reduce bottlenecks in the workflow.
  • However, before implementing these, the underlying laboratory data must be standardized, reliable, and traceable; otherwise, the AI system will not be able to provide reliable insights.
  • Informatics can be used to integrate, organize, and present datasets in a consistent manner.
  • Integrating this data is particularly beneficial for applications such as transfusion medicine, as the complex combinations of data in these scenarios can affect clinical decisions.
  • In any laboratory environment, AI serves as a complement to clinical experts; it is still the laboratory professionals who are ultimately responsible for interpreting the results and making final decisions.

Investor contact: Sanjeev Sharma, Vice President of Investor Relations, [ email protected ]

Media contact: Stephanie Kleewein, Senior Corporate Communications and PR Manager, [ email protected ]

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