AI-detected patterns requiring clinical attention based on your patient population
AI has detected early sepsis indicators in multiple patients based on vital sign trends, lab values, and medication responses. Immediate evaluation recommended.
AI analysis of post-discharge communications, medication adherence, and vital signs suggests elevated risk of surgical site infections and other complications requiring readmission.
AI analysis indicates potential drug-drug interactions in patients on multiple medications. Recommended medication adjustments could reduce adverse effects while maintaining therapeutic benefits.
Detailed analysis of individual patient risks with supporting evidence
MRN: 435721 • 68M • Last Visit: Yesterday
Weight gain of 4.2 lbs in last 5 days (detected from home monitoring device)
Pharmacy records indicate only 60% refill rate for furosemide over past 3 months
Last BNP value increased from 450 pg/mL to 840 pg/mL (86% increase)
Natural language analysis of recent clinic notes indicates increased shortness of breath with activity
Based on the detected risk factors and historical patient data, the AI recommends the following interventions:
Cardiology Notes Yesterday at 14:30
"Patient reports increased dyspnea with minimal exertion over past week. Also notes difficulty sleeping flat and having to use 3 pillows at night..."
Laboratory Results 3 days ago
BNP: 840 pg/mL (Reference Range: 0-100 pg/mL)
Previous Result: 450 pg/mL (30 days ago)
Remote Monitoring Data Last 7 days
Weight: Increasing trend (+4.2 lbs over 5 days)
Blood Pressure: Increasing trend (Average: 158/92 mmHg)
Emerging patterns identified across your patient population requiring attention
Detected across 14 patients in last 30 days
AI analysis of microbiology reports shows increasing resistance of E. coli isolates to fluoroquinolones in UTI cases. Recommend adjustment to empiric therapy guidelines.
Affecting 23 patients across multiple departments
AI detected an unusual increase in reported dizziness among patients started on a new generic version of amlodipine. Correlation with timing of medication switch suggests potential quality issue.