How OpenEvidence built a healthcare AI that physicians actually trust

OpenEvidence, the fastest-growing clinical decision support platform in the U.S., recently experienced a viral moment on TikTok that tested its ability to handle massive user traffic without compromising reliability. Despite reaching over two million views in a week, the platform maintained fast response times and low error rates, thanks to its hybrid architecture that leverages Python on Google Cloud Platform for backend processes and Next.js on Vercel for frontend operations. This infrastructure allows for seamless scaling and quick deployments, essential for supporting over 20 million clinical consultations monthly and aiding in medical decisions for over 100 million Americans annually. The introduction of Vercel's Fluid compute further reduced serverless costs by 90%, enhancing performance and efficiency as OpenEvidence scaled to 1000x growth. With a small team, the platform continues to meet the high standards of speed and reliability expected in healthcare, proving capable of modernizing medical software while maintaining the stability of traditional systems. OpenEvidence serves over 40% of U.S. physicians, providing a crucial tool for making life-saving clinical decisions grounded in peer-reviewed medical literature.

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