Every day new AI tools are announced that claim to make clinicians’ lives faster and easier – it’s overwhelming just trying to keep up with them all. While most of us would prefer a less fragmented healthcare system, tools that make clinical practice easier and more sustainable come in a close second. The challenge is that it has become easy to stand up tools that look like they work well, but that don’t necessarily have the rigor, safety, and integration behind them that are needed for clinical practice.
Built for Healthcare from the Beginning
Many AI tools on the market today were built for general use and later adapted for healthcare. Dyna AI was built specifically for clinical environments. From its inception, physicians and other clinical experts defined its requirements and workflows and worked closely with the technology team to iterate. That intentional design matters because general tools rarely understand the complexity or nuance of medical decision-making.
Evidence-Based at Its Core
At the heart of Dyna AI is a rigorously curated clinical reference database, developed and maintained by a team of medical experts. Every piece of content is appraised for quality, equity, bias, and clinical applicability before it becomes available to Dyna AI, ensuring that the information clinicians receive is not only accurate but also relevant and inclusive. Dyna AI won’t cite blog posts online, large language model training data, or outdated research because that content does not meet the bar for inclusion. This foundation is what makes it a trusted partner in clinical decision-making.
Expert Clinician Oversight
AI in healthcare shouldn’t be a black box. In the case of Dyna AI, our clinical evaluation is carefully governed with an extensive clinician-in-the-loop evaluation. Clinical experts – many of whom use Dyna AI in practice – are involved in both the creation of the reference content and validation of AI-generated responses. This ensures that every answer is not only technically correct but also clinically sound, with continual feedback to our technology teams to improve Dyna AI.
“Every piece of content is appraised for quality, equity, bias, and clinical applicability before it becomes available to Dyna AI, ensuring that the information clinicians receive is not only accurate but also relevant and inclusive”
“Every piece of content is appraised for quality, equity, bias, and clinical applicability before it becomes available to Dyna AI, ensuring that the information clinicians receive is not only accurate but also relevant and inclusive”
Responsible Innovation and AI Governance You Can Trust
We take accountability seriously, with robust governance practices aligned with independent standards. The team that builds Dyna AI are active participants in the Coalition for Health AI, a multi-stakeholder nonprofit working to establish guidelines for trustworthy AI in healthcare. We further benefit from an actively involved Generative AI Advisory Council, made up of healthcare executives, informatics leaders, technologists, attorneys, and patient advocates.
Designed for the Way Clinicians Work
Dyna AI is designed to be accessible within clinical workflows, whether via mobile app, online, or embedded in the EHR. It provides concise, actionable answers in real time for the point of care – or whatever other information needs clinicians might have in their workday. Well-designed summarization cuts through information overload and presents only what’s needed, reducing cognitive burden and supporting fast, confident clinical decision-making.
Safety and Transparency by Design
One of the most critical challenges in clinical AI is the risk of hallucinations: confident-looking but incorrect information. Dyna AI uses a retrieval-augmented generation (RAG) approach that grounds every response in our vetted database, with transparent sourcing so clinicians can see exactly where the information comes from. This not only builds trust but also supports documentation and accountability.
Responsible AI Starts Here
Dyna AI isn’t just another AI tool. It’s a clinically rigorous, expertly governed, and seamlessly integrated solution that puts safety, trust, and usability first. I’m proud of how Dyna AI combines cutting edge technology with clinical expertise, rigorous governance, and respect for the people using it. As the landscape of AI continues to expand, one thing remains clear: integrity, safety and usability are not optional features; they are the foundation. That’s the standard we’ve set for ourselves, and it’s the promise we make to those we serve.
