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AI for Good-Innovate for Impact
2. Determine staffing: Identify the number and skill sets of medical professionals and IT
personnel needed based on the AI Hospital's requirements.
3. Artificial Intelligence Deployment: Based on the construction of the AI Medical
Supercomputing Center, integrate the AI system with multiple clinical and administrative
departments, deploying corresponding AI modules. 17-InferVision
4. Data collection and analysis: Collect high-quality data, clean and organize the data so that
the artificial intelligence system can learn from it and improve its performance.
5. Continuous improvement: Constantly pay attention to new technologies and trends in
the direction of artificial intelligence, and timely update and adjust strategies and plans.
17�3� Use case requirements
• REQ-001: Must facilitate seamless integration of patient data across various medical
services, such as appointment scheduling, triage, diagnosis, and surgery assistance.
• REQ-002: Management systems must support digital management capabilities.
• REQ-003: AI should efficiently organize training/test data and analysis of research data.
• REQ-004: Automation features of AI should streamline basic tasks to reduce labor cost
and operational efficiency of hospital(s).
17�4� Sequence diagram
17�5� References
[1] Link of database
[2] Link of GLOBAL DRUG FACILITY (GDF) page 39.
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