Scaling medical content review at Flo Health with Amazon Bedrock – Part 2
AWS Machine Learning Konstantin Lekh
Flo Health deployed an AI-powered medical content review and generation system on Amazon Bedrock that reduced review time by 60 percent and tripled content throughput. The system uses specialized AI Judges for different review dimensions (medical accuracy, legal compliance, brand style) and implements Retrieval Augmented Generation to ground content in trusted medical sources, with medical experts maintaining final control through a streamlined interface. The production implementation follows a three-layer validation approach checking against internal guidelines, external medical sources, and human expert review, while a separate content generation pipeline uses chain-of-thought prompting with different Claude models for different tasks.
Why it matters
In this post, we share how Flo Health’s engineering team turned a proof of concept (PoC) from the AWS Generative AI Innovation Center into a production-grade, AI-powered medical content review and generation system built on Amazon Bedrock. T
