Administration & Analytics
AI System Insights
Based on your system usage patterns, our AI has identified several optimization opportunities:
- Oncology research queries have increased 43% - consider expanding the knowledge base in this domain
- Model accuracy has improved 12% after last week's training on clinical trial documents
- 3 new taxonomy terms detected in recent publications - review suggested additions
System Performance
User Activity
AI Model Accuracy
System Users
User | Role | Department | Last Activity | AI Usage | Actions |
---|---|---|---|---|---|
Dr. Jennifer Miller
|
Admin | Oncology Research | 10 minutes ago |
|
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Dr. Robert Kim
|
Researcher | Neurology Research | 2 hours ago |
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Dr. Sarah Johnson
|
Data Scientist | Genomics Data | 1 day ago |
|
AI-Recommended Actions
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Optimize NLP Model for Medical Terminology
Model accuracy for specialty fields shows 17% lower performance. AI recommends training on specialty-specific corpus.
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Update Research Database Connections
3 new research database APIs are available. Adding these would increase knowledge base coverage by an estimated 12%.
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Add New Oncology Research Team
Usage patterns suggest adding dedicated resources for the oncology department would optimize workflow.
AI Model Performance
Training Opportunities
Schedule Automated Model Retraining
AI suggests retraining query understanding model with new medical terminology
Research Domain Configuration
Configure specialized research domains and taxonomies
Active Domains
- Oncology Active
- Neurology Active
- Cardiology Active
- Genomics Active
- Immunology Active
- Infectious Disease Updating
Domain Settings: Oncology
AI-Suggested Taxonomy Additions
3 new-
"CAR-T cell therapy resistance mechanisms"
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"Tumor microenvironment immunosuppression"
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"Liquid biopsy circulating tumor DNA markers"