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This article explores how OpenEvidence, the most widely used clinical decision support platform among U.S. clinicians, built a scalable and reliable healthcare AI product using Vercel and Next.js.
•OpenEvidence supports over 20 million clinical consultations monthly and is used by over 40% of U.S. physicians across 10,000+ hospitals
•The frontend team is minimal (one dedicated frontend engineer), with the rest focused on Python and ML, making low-maintenance infrastructure critical
•They use a hybrid architecture: Python backend on Google Cloud Platform for data and ML, Next.js frontend deployed on Vercel for automatic scaling and instant deployments
•Enabling Vercel Fluid compute reduced their serverless spend by 90% while maintaining performance, with Vercel accounting for less than 5% of total infra costs
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When the platform went viral on TikTok (2M+ views in a week), the infrastructure scaled automatically with zero manual intervention
This summary was automatically generated by AI based on the original article and may not be fully accurate.
Vercel
Google Cloud
AWS