Integration Health Monitor
Real-time monitoring of system connections with AI-powered insights
System Status Overview
All Systems OperationalAI Assistant Insights
The DEfRAG system has detected a 12% increase in query response time from the Epic EHR connector. Based on pattern analysis, this appears to be related to scheduled maintenance on their server cluster. I recommend scheduling intensive operations after 2:00 AM EDT when their maintenance window typically closes. Would you like me to create an automated schedule adjustment?
Connection Status
System | Status | Latency | Last Sync | Actions |
---|---|---|---|---|
AGFA PACS
Imaging System
|
Connected |
145 ms
5%
|
Just now | Details |
Epic EHR
Primary EHR
|
Performance Warning |
348 ms
12%
|
35 seconds ago | Details |
SunQuest LIS
Laboratory System
|
Connected |
187 ms
2%
|
1 minute ago | Details |
Cerner PharmNet
Pharmacy System
|
Connected |
203 ms
0%
|
3 minutes ago | Details |
AI Anomaly Detection
Epic EHR Performance Degradation
Detected 35 minutes ago
12% increase in query response time. Correlates with scheduled maintenance window.
Successful Pattern Optimization
Applied 2 hours ago
Predictive caching strategy for AGFA PACS queries reduced latency by 5%.
Optimization Opportunity
Detected 1 day ago
Repeated query patterns from Radiology department could benefit from specialized index.
System Latency Tracking
Interactive performance chart would appear here
Error Rate Analysis
Interactive error analysis chart would appear here
Recent Activity
-
AI Assistant detected performance degradation in Epic EHR connector and suggested schedule adjustment
-
System completed scheduled database optimization for AGFA PACS indexes
-
Warning Epic EHR showing increased latency (348ms > 310ms threshold)
-
Connection SunQuest LIS connector completed scheduled maintenance successfully
-
Error Temporary connection timeout with Cerner PharmNet (auto-resolved)
Troubleshooting Tools
Connection Diagnostics
Test specific connections and analyze results
AI System Analysis
Request comprehensive AI performance review
Performance History
Compare current vs. historical performance
Error Log Analyzer
Deep analysis of system errors and patterns
Indexing Optimizer
Analyze and optimize indexing strategy