We test Qu rigorously through a multi-step process that ensures safety and clinical robustness. Our testing ranges from scenario-specific vignettes to real-world applications.
Qu is assessed using clinical scenarios that replicate representative clinical conditions. The AI's capabilities and response accuracy is evaluated in controlled, hypothetical situations, ensuring that the system performs reliably across a large number of diverse clinical contexts.
A diverse cohort of healthcare professionals and clinicians reenact patient consultations to assess Qu’s ability to gather information, ask relevant questions, and provide accurate responses. This is designed to emulate authentic clinical scenarios, providing a robust framework for evaluating Qu's decision-making process and response accuracy.
Quadrivia will recruit a diverse group of volunteers representing specific demographics. Each participant will recall a recent health issue to consult with Qu and a human evaluator. Volunteers will input the same information in both sessions, ensuring consistent details for comparison. Consultations will be recorded and scored based on our Evaluation Scorecard.
Quadrivia’s Global Clinical Advisory Group (GCAG) is composed of senior clinicians and healthcare experts from around the world. They provide essential guidance on clinical safety, robustness, and ethical considerations, ensuring that Qu is built by clinicians, for clinicians, no matter where they practice.
Quadrivia works closely with regulators across the globe to ensure that Qu operates in a compliant manner within each region's healthcare systems. We are committed to meeting local regulations and maintaining the highest standards of patient safety.
Download our whitepaper to learn more about what Qu can do, how it works and how we've built it
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