For digital health startups like Mariana.AI, generating accurate and scalable AI clinical notes is mission critical. To push the boundaries of compliance, cost-efficiency, and output quality, Mariana.AI partnered with GoML to explore Claude models via Amazon Bedrock, benchmarking them against their existing OpenAI-based system. This collaboration led to a modular and future-ready architecture for AI in clinical notes, powered by Langchain, Portkey, and Claude Sonnet models, without disrupting existing workflows.
Mariana.AI is a cutting-edge healthcare innovation company focused on automating clinical documentation and patient engagement. To modernize its systems, Mariana.AI partnered with GoML to migrate its clinical note generation and medical coding workflows from OpenAI to Amazon Bedrock. The goal was to enhance performance, improve prompt engineering, and establish a scalable, compliant backend for future expansion into real-time and voice-based clinical support.