Who's Running QC on Artificial Intelligence?

Overview

Revise to specify the lack of rigorous standards in AI governance compared to clinical labs.

Background

As AI technologies increasingly influence clinical decision-making, the absence of a coherent governance framework raises significant concerns about patient safety and care quality. Current practices often misclassify AI tools as mere information technology solutions, neglecting their diagnostic implications. Establishing robust oversight mechanisms is essential to ensure these tools perform reliably across diverse healthcare settings.

Data Highlights

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Key Findings

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Clinical Implications

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Conclusion

The integration of AI in healthcare necessitates a paradigm shift in governance, aligning it more closely with established clinical laboratory standards to safeguard patient outcomes.

References

About the Author(s)

Caitlin Raymond

Caitlin Raymond is an Assistant Professor of Pathology and Laboratory Medicine at the University of Wisconsin – Madison.

Who's Running QC on Artificial Intelligence?

Why we should stop treating AI as an information technology problem and start governing it like our other laboratory instruments