Aiida Healthcare
Turn scanned medical journals into structured patient data
Aiida Healthcare's medical AI classifies, interprets, and validates scanned patient journals at regional scale. In minutes, it turns paper records and unstructured documents into structured, validated data ready for your e-archive and downstream care workflows — with on-prem deployment and full EU data sovereignty.
How Aiida Healthcare works
Ingest your scanned records
Stream millions of pages a year from your scanning operation straight into Aiida Healthcare's pipeline.
Classify with ML, OCR, and rules
Combine machine learning, OCR, and configurable rules to categorize journals across hundreds of parameters.
Review and validate edge cases
Operators handle exceptions in a fast, keyboard-driven workstation, then archive validated records in one click.
Train, monitor, and improve
Retrain models on your own data, monitor classifiers and rules, and tighten accuracy over time — from the admin view.
Ingest your scanned records
Stream millions of pages a year from your scanning operation straight into Aiida Healthcare's pipeline.
Classify with ML, OCR, and rules
Combine machine learning, OCR, and configurable rules to categorize journals across hundreds of parameters.
Review and validate edge cases
Operators handle exceptions in a fast, keyboard-driven workstation, then archive validated records in one click.
Train, monitor, and improve
Retrain models on your own data, monitor classifiers and rules, and tighten accuracy over time — from the admin view.
Classify and extract medical journal data and documents fast and safe
Scanning ingestion
Process millions of scanned pages a year, ingested directly from your central scanning operation, with production-proven throughput.
ML and OCR classification
Combine an ML classifier and an OCR classifier with a configurable rules engine to interpret medical journals across hundreds of parameters.
Ensemble categorization
A stack of specialized model architectures — for language, document layout, and structured features — combine to interpret each journal, so accuracy holds across handwritten notes, forms, and varying record formats.
Manual review workstation
Handle exceptions in a high-throughput, keyboard-driven workstation with live reclassification and one-click archiving.
E-archive integration
Hand off validated, structured data directly to your e-archive, including out-of-the-box integration with e-archives for long-term records management.
Built-in model training
Retrain models on your own data without leaving the admin console, and follow classifier and rules-engine performance through a live monitoring view.
On-prem and EU sovereignty
Deploy on your own infrastructure with full user management and detailed audit logging. All processing and storage stays within EU when supplied via cloud. Aiida Healthcare ensures full compliance with GDPR and public-sector data governance standards.
See Aiida Healthcare in action
Let us show you how Aiida Healthcare classifies, validates, and archives medical journals at regional scale, with full EU data sovereignty and on-prem control built in.