Case Study: a Fortune 500 healthcare provider achieves 90% automated patient intake extraction with Ideas2IT Technologies

Fortune 500 Healthcare Provider boosts extraction accuracy to 90% with Ideas2IT Technologies

A Fortune 500 healthcare provider was facing challenges with its manual patient onboarding process. Care coordinators had to slowly review discharge summaries to extract clinical data, a process that was only 70% accurate and delayed critical care decisions. Ideas2IT Technologies was engaged to build a GenAI-powered solution to automate this intake procedure.

Ideas2IT implemented a self-hosted Mistral LLM with a Retrieval-Augmented Generation (RAG) layer within a private, HIPAA-compliant AWS environment. This solution automated the extraction of nine key clinical fields from unstructured text, boosting accuracy to 90% and enabling real-time onboarding. The result eliminated manual data re-entry, accelerated care planning, and ensured all patient health information remained securely within the client's own infrastructure.