Healthcare Solution
AI processing of medical records, laboratory reports and medical literature · 100% accurate dosage data · visually lossless medical images · automatic redaction of medical record privacy
Healthcare documents have their own requirements
Industry-specific strategies that give healthcare documents exactly the right amount of processing
Healthcare documents have their own requirements
Healthcare documents are a matter of life and death:A single wrong digit in a dosage is a medical incident. At the same time, medical records contain a large amount of patient privacy, and feeding them directly into a knowledge base is a compliance disaster. Our solution delivers both precision and security.
Why generic solutions fall short
The critical points of healthcare documents, where general-purpose tools take a one-size-fits-all approach
Dosage/Concentration Errors
The difference between 0.5mg and 5mg — if AI cites it wrong, it is an incident
Medical Image Distortion
Lossy compression affects diagnostic reference, and radiology is the first to object
Patient Privacy Leakage
Names, ID numbers and faces in medical records entering the knowledge base without processing violates personal information protection requirements
Loss of Professional Terminology
ICD codes and the mapping between generic and brand drug names get broken
Four-channel specialized strategy
Text / image / table / structure, with each channel tailored to the characteristics of the healthcare industry
| Processing channel | Industry-specific strategies | Design rationale |
|---|---|---|
| Text channel | Drug names preserved bilingually (generic name + brand name); dosage/concentration/weight data preserved at 100% precision; ICD-10/11 codes preserved as-is; medical history description sections can be lightly compressed | A dosage error is a medical incident |
| Image channel | Lossy compression is prohibited for medical images; only lossless encoding optimization is applied; pathology slides retain their annotation layers; anatomical diagrams can be converted to vector; molecular structural formulas are converted to SMILES | Image precision affects diagnosis |
| Table Channel | The laboratory indicator table Schema is fixed (item/result/reference range/unit); dosage/frequency/course in medication plan tables must not be compressed | Laboratory data is the basis for diagnosis |
| Structure Channel | The complete structure of chief complaint → present illness → past history → physical examination → auxiliary examination → diagnosis → treatment is preserved; references are preserved in full | The medical record structure is the diagnostic logic |
Performance commitment (SLA)
Let the data speak, not empty promises
100%
Dosage/concentration data retention rate
100%
ICD code retention rate
≥50dB
Medical image PSNR (visually lossless)
<0.5%
Clinical entity recognition F1 drop
Typical application scenarios
The most practical steps for adopting AI in healthcare
Electronic Medical Record Knowledge Base
Historical medical records are structured and ingested, supporting clinical decision-making and research retrieval
Drug Knowledge Platform
Drug labels and guideline literature build a pharmaceutical knowledge base
Research Data Redaction
Medical record images are redacted in bulk before being made available for research and training
Other industry solutions
Every industry has its own specific requirements
Making medical record data both secure and usable
An AI data foundation that meets medical data compliance requirements