Generative AI is moving out of the experimental lab and into the core of healthcare diagnostics and communication. But as the technology matures, a critical challenge remains: How do we balance the speed of AI with the zero-error mandate of healthcare?

We are proud to announce that AVAYL’s Medical Information platform MedPro has been cited as a key solution to this challenge in the new industry whitepaper, "Patient-First AI."

The "Black Box" Problem The report identifies a significant hurdle for the industry: the risk of AI hallucination. While translating technical jargon into plain language for patients is a valuable use case, the report notes that "distinguishing between what’s correct and what’s not will be one of the biggest challenges for AI in healthcare."

Generic LLMs often operate as "black boxes," offering little visibility into how an answer was generated. In a clinical setting, this lack of transparency is unacceptable.

The AVAYL Standard: Scientific Rigor In the report, Dr Miena Amiri, AVAYL Co-founder, emphasizes our core philosophy:

"We cannot bypass scientific principles—we must always be audit-ready."

True value for life science companies only emerges when AI integrates with existing systems to ensure copyright protection, full auditability, and adherence to scientific rigor.

Proven Results: The Recordati Case Study

The whitepaper highlights our work with Recordati Rare Diseases as a prime example of a "white box" approach. By utilizing AVAYL’s MedPro platform, Recordati’s Head of Global Medication Information, Michelle Bridenbaker, notes that they have achieved productivity gains of up to 70%.

But beyond efficiency, the most vital metric remains the human one. As Bridenbaker states in the report, the platform has allowed them to "improve patient outcomes by delivering faster, more accurate responses."

Moving Forward

At AVAYL, we are committed to building AI that enhances human expertise rather than replacing it. We are honored to be recognized in "Patient-First AI" as a company driving the standard for safe, transparent, and effective scientific communication with AI.

The complete report is available here.