Project Results
Technical Highlights
Clinical Inference Engine
Fuses evidence-based medicine with data-driven AI for explainable assisted diagnosis
Multi-modal Data Lake
Unified management of text, imaging, and waveform data for a patient holographic view
Medication Safety Guard
Real-time audit of prescription compliance, automatically alerting to drug incompatibilities
Whole-course Management
Connects screening, treatment, and follow-up for full-lifecycle patient care
Client Background
This Large Tertiary Hospital handles 20k+ daily outpatients, accumulating massive EMR, lab reports, and imaging data. However, fragmented systems and siloed data made it hard for doctors to retrieve information quickly, leading to heavy reliance on personal experience and risks of misdiagnosis and research data silos.
Technology Stack
From Challenges to Solutions
System Architecture Design
Multi-modal data fusion and standardization of EMR, LIS, and PACS
Diagnostic inference based on Evidence-Based Medicine knowledge base and CDSS
Personalized treatment recommendation and full-cycle health management
Phased Implementation
Data Governance & Integration
Cleaned and ingested 10 years of historical data; established unified patient 360-views and specialized disease databases
CDSS Engine Launch
Built clinical inference models on medical KGs; launched assisted diagnosis in Cardiology and Oncology departments
Whole-course Care Loop
Connected intra- and extra-hospital data; launched follow-up and chronic disease management modules for full-cycle coverage
Data Governance & Integration
Cleaned and ingested 10 years of historical data; established unified patient 360-views and specialized disease databases
CDSS Engine Launch
Built clinical inference models on medical KGs; launched assisted diagnosis in Cardiology and Oncology departments
Whole-course Care Loop
Connected intra- and extra-hospital data; launched follow-up and chronic disease management modules for full-cycle coverage
Client Testimonial
“The CDSS system is like an experienced professor standing behind me. It not only alerts me to potential diagnostic omissions but also recommends medications based on the latest guidelines, providing valuable reference suggestions for young doctors.”