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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 channelIndustry-specific strategiesDesign rationale
Text channelDrug 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 compressedA dosage error is a medical incident
Image channelLossy 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 SMILESImage precision affects diagnosis
Table ChannelThe laboratory indicator table Schema is fixed (item/result/reference range/unit); dosage/frequency/course in medication plan tables must not be compressedLaboratory data is the basis for diagnosis
Structure ChannelThe complete structure of chief complaint → present illness → past history → physical examination → auxiliary examination → diagnosis → treatment is preserved; references are preserved in fullThe 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

Making medical record data both secure and usable

An AI data foundation that meets medical data compliance requirements

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