Documentation
中文

Challenges

Poor Readability of Handwritten Medical Records
Sloppy and unintelligible handwriting
Complex inpatient records consume 40–50% of a doctor’s time.
Low Efficiency in Printing Medical Records
Slow input, easily interruptible consultation, and poor experience
10–30 minutes per diagnosis, inefficient
Poor Output Quality of Medical Records
Error-prone, flawed manual records with inconsistent quality

Solutions

Solution Highlights

EMR Generation & Quality Control
30% More Outpatient Visits
Reduced outpatient consultation time from 19 to 14.5 minutes, boosting hourly patient capacity by 30%.
Higher Patient Satisfaction
Doctors focus on diagnosis, with 20% higher efficiency. Patient waiting time reduces, while satisfaction increases.
Improved EMR Quality
AI-generated medical records reduce paperwork burden, with improved efficiency and accuracy of clinical note writing.

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Application Scenarios

EMR Generation
Doctors spend minutes on outpatient records and hours on inpatient charts. The large model assistance cuts documentation time by 50%.
EMR Quality Control
Accurate and well-formatted medical records are essential to avoid disputes. AI can improve records with quality deficiencies.

Use Cases

RJ Hospital
Digital and intelligent pathology enhances healthcare resource utilization and improves accuracy of early diagnostics and treatment.
ZS Hospital
AI enables intelligent treatment of major diseases, improving clinical diagnostics and treatment efficiency by 20% in core scenarios.
HX Hospital
AI-powered generative documentation boosts medical records writing efficiency by 50%, enhancing both doctor productivity and patient experience.