Transforming Data Into Actionable Insights in the Lab
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Laboratories are facing increasing complexity and growing testing demand. Historically, data across the lab has existed in silos. Labs need ways to integrate this data and accelerate clinical decision-making. Informatics serves as a critical means to drive efficiency, performance and data accuracy – having a real impact on patients awaiting test results.
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Key Insights:
- Clinical laboratories face workforce challenges, including shortages of specialists to manage complex testing scenarios
- AI has the potential to optimize test utilization, eliminate redundant testing and reduce workflow bottlenecks
- However, before this happens, the underlying lab data must be standardized, reliable and traceable; otherwise, the AI system can't deliver reliable insights
- Informatics serves as a means to consolidate, organize and present data sets consistently
- Integrating this data is particularly beneficial for supporting applications like transfusion medicine where a complex array of data influences clinical decisions
- In any lab setting, AI augments clinical experts, and lab professionals are ultimately responsible for interpreting results and making final decisions
Listen to the latest episode of the QuidelOrtho Science Bytes podcast on major streaming platforms or at https://www.quidelortho.com/global/en/resources/podcasts/Episode-62-Turning-results-into-answers.
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SOURCE QuidelOrtho Corporation
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