Guardoc Health uses Amazon Nova to slash documentation errors by 46%
Processing 1M+ documents daily, Guardoc cuts errors and fines with AI.
Guardoc Health addresses the fragmented and error-prone nature of clinical documentation in long-term care by building a pipeline on Amazon Nova models via Amazon Bedrock. Medical records arrive in myriad formats—multi-page PDFs, handwritten annotations, checkbox forms, and embedded tables. To handle this, Guardoc uses Retrieval Augmented Generation (RAG) where Amazon Textract first extracts text and structure from each page. Chunks are then processed by Amazon Nova models to classify medical conditions with high recall, interpret checkboxes across dozens of form types, and accurately extract mixed-format information. This pipeline achieves precision at massive scale: on peak days, over 1 million documents are processed.
The impact is significant: Guardoc reports a 46% reduction in documentation errors, 70% fewer audit fines, and over $400K in annual ROI for a single facility. By automating condition detection and compliance checks, the system reduces cognitive load on nurses and care teams while improving patient safety. The use of Amazon Nova’s multimodal capabilities ensures that even handwritten notes and rubber stamps are reliably interpreted, addressing the $100M+ annually wasted on manual processing in U.S. healthcare.
- 46% reduction in documentation errors, 70% fewer audit fines, and over $400K annual ROI per facility.
- Uses RAG with Amazon Nova models on Bedrock and Amazon Textract for accurate extraction and classification.
- Handles over 1 million documents on peak days across varied formats including handwritten PDFs and checkbox forms.
Why It Matters
Automating clinical documentation reduces errors and saves millions, improving patient safety and compliance.