Natural Language Retrieval Across 5 Years of Scanned PDF Medical Charts
Scanned hospital discharge PDFs and external lab printouts trap critical medical context. Natural language EMR search surfaces answers with verifiable source document citations.
The Scanned PDF Graveyard in Modern Healthcare
When patients switch doctors or visit a new specialist, their prior medical history is typically faxed or uploaded as a 100-page flattened PDF. In a busy 15-minute consultation, no clinician has time to scroll through 100 scanned pages to find a specific echocardiogram ejection fraction or kidney function test from three years ago.
As a result, doctors either repeat expensive diagnostic tests or proceed without crucial historical context.
Direct Citation Retrieval Engine
DrGodly ingests external records through an optical character recognition (OCR) and clinical knowledge graph pipeline. Clinicians can ask: 'Compare HbA1c values over the last 2 years' or 'What blood pressure medications has this patient previously discontinued?'
Every response includes an excerpt and clickable link to the exact source PDF page, allowing doctors to instantly verify the finding with their own eyes before making clinical decisions.