RootCauseAnalytics/medical-25-doc-preview

RCA Medical Library - 25-Document Review Pack

Public sample from the RCA Medical Library. 25 synthetic Australian medical documents across 18 document types with ground truth and bounding boxes.

Fully synthetic. No real patient, clinician, hospital, Medicare, MRN, provider or customer data. NSW conventions applied throughout: AU postcodes, valid Medicare number format, AU clinician postnominals (FRACGP, FRACP, FRCPA, FRANZCR, FACEM, FRACS), TRN-PROV provider numbers. SYNTHETIC TRAINING DOCUMENT disclaimer on every page.

What is in the preview

• 25 PDFs across 18 document types: discharge summaries, ED assessments, ECG 12-lead, ECG reports, referral letters, medical certificates, home care plan, admission checklist, prescription, physiotherapy assessment and treatment plan, internal correspondence, bone density report, ophthalmology assessment, imaging request, medication chart, haemodialysis flow, progress note
• Clean and scanned variants for each (rotation + JPEG noise)
• Ground truth CSV and JSONL with labelled fields
• Per-document bounding boxes for all labelled fields

What is in the full library

200 documents across 41 document types covering discharge summaries, ED assessments, pathology, imaging (CT, MRI, X-ray, ultrasound, mammogram), referrals, medication charts, MAR forms, prescriptions, scoring sheets (Barthel, MMSE, Glasgow), care plans, specialist correspondence, theatre notes, anaesthetic charts, observation charts, fluid balance charts, and more.

What it is for

• OCR evaluation
• Medical document AI QA
• Layout extraction testing
• Clinical and administrative document extraction testing
• Demo data without PHI risk
• Regression testing

What it is not for

Clinical decisions, billing, identity verification, real Medicare claims, or any real clinical workflow.

License

Creative Commons Attribution-NonCommercial 4.0. For commercial use, custom medical libraries, or the full library, see rootcauseanalytics.com.au.

Citation

@misc{rca-medical-25doc-preview,
  author = {Webb, Jack},
  title = {RCA Medical Library - 25-Document Review Pack},
  year = {2026},
  publisher = {Root Cause Analytics},
  url = {https://rootcauseanalytics.com.au/libraries/medical}
}