Developer

1. Project Background & Challenges

"17 branch hospitals were using 8 different HIS systems from various vendors. Medical records were stored in silos, resulting in an average 4-hour delay for cross-hospital record retrieval. There was also a high risk of patient data breaches."
— Information Department, Kangtai Medical Group

1. Data interoperability across heterogeneous systems (SQL Server/MySQL/Oracle mix)

2. Medical data privacy protection (compliant with HIPAA/GDPR)

3. Synchronization consistency between offline records and real-time data

   
   

2. Technical Solution & Innovation

1. System Architecture

┌─────────────────┐     ┌─────────────────┐     ┌─────────────────┐ │  Hospital Portal │────►│  Unified Auth    │────►│  Blockchain      │ │  (Vue + Element) │     │  (OAuth2 + JWT)  │     │  (Hyperledger)   │ └─────────────────┘     └─────────────────┘     └─────────────────┘                             │                          │                             ▼                          ▼ ┌─────────────────┐     ┌─────────────────┐     ┌─────────────────┐ │  Data Integration│     │  Medical Record  │     │  Privacy Computing│ │  (ETL + Kafka)   │     │  Middleware      │     │  (Federated Learning)│ └─────────────────┘     └─────────────────┘     └─────────────────┘

2. Key Technical Implementations

Blockchain Proof-of-Existence:

Hyperledger Fabric-based consortium blockchain for medical record modification tracking.

Multi-source Data Fusion:
Unified medical record metadata model with real-time synchronization via Kafka.

3. Project Outcomes & Value

1. Key Metrics Comparison

• Emergency transfer improvement: Reduced record synchronization time from 2 hours to 5 minutes, saving 3 MI patients in one tertiary hospital.

• Compliance audit efficiency: Annual compliance audit time reduced from 45 days to 7 days, cutting audit costs by 60%.

• Research data value: The anonymized unified record database has supported 3 national medical research projects.

4. Technical Innovations

• Dual-layer privacy protection:
  Federated learning for anonymized data computation + blockchain immutability (Patent No.: ZL2024XXXXXX).

• Intelligent conflict detection:
  Rule-based engine identifies data discrepancies (e.g., inconsistent units) with 96% accuracy.

• Offline caching strategy:
  Edge computing nodes cache data during network outages, ensuring continuous record-keeping in rural hospitals.

5. Implementation Details

1. Phased Rollout:

• Phase 1 (1-2 months): Data integration and model validation for 3 pilot hospitals.

• Phase 2 (3-5 months): Expansion to 10 hospitals with blockchain-enabled features.

• Phase 3 (6-8 months): Full integration across 20 hospitals, launch of research data platform.

2. Training Program:

• Tiered training courses for 300+ medical staff (basic operation/administrator/technical maintenance).

• Online help center with 120+ video tutorials.

3. Operation & Maintenance:

• 7×24 monitoring platform (CPU/memory/blockchain node status visualization).

• Quarterly disaster recovery drills (simulating blockchain node failures).

6. Related Resources

• Demo Video: [5-minute system walkthrough](video link)

• Technical Whitepaper: [《Blockchain-based Medical Data Management》](download link)