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Triage Decision Support
From Guesswork to Precision

Trendlytics uses advanced AI and predictive analytics to support triage teams—ensuring patients are routed appropriately, hospital resources are optimized, and care delivery is Efficient, Timely, and Safe.

Trendlytics uses AI and predictive analytics to support hospital triage teams to make precision decision for patients.

 
50% 

down

Misdirected
ED Visits

 
25% 

down

ED
Wait Times

The Proven Results

down

 
30% 

Assessment

Time

 
40% 

down

Documentation

Burden

 
40% 

High-Risk Patient Identification

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The Triage Challenge Today

Emergency Departments face increasingly complex triage demands.
With rising patient volumes, staffing shortages, and unpredictable acuity, clinicians are often forced to rely on:

  • Manual, time-intensive documentation

  • Subjective judgment

  • Limited or incomplete patient data
     

This can lead to:

  • Misrouted or delayed care

  • Overcrowded EDs and extended wait times

  • Inefficient use of hospital capacity

  • missed early warning signs in high-risk patients
     

Standard triage protocols or rigid decision trees simply can't adapt fast enough to real-world variability.

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How Trendlytics Triage Decision Support Works

Trendlytics uses AI-driven decision support, predictive analytics, and automated clinical scribing to improve the speed, accuracy, and consistency of triage.

Key Capabilities

Forecasts Demand & Capacity

Real-Time Patient Risk Stratification

Instantly analyzes:

  • symptoms

  • vital signs

  • medical history

  • contextual factors

➡️ Generates a real-time risk score to help determine patient severity.

Optimize Existing Staffing Resources

Intelligent Care Routing

Provides evidence-based recommendations for the most appropriate care setting:

  • Emergency Department

  • Urgent Care

  • Fast Track

  • Telehealth or alternative pathways

➡️ Reduces misdirected visits, congestion, and improves patient flow.

Predicts LOS & Ambulance Arrivals

AI-Powered Clinical Scribing (Live Triage Documentation)

While the nurse speaks with the patient, the AI:

  • captures key clinical details

  • structures them into standardized fields

  • highlights abnormalities and red flags

  • minimizes manual typing and documentation burden

NLP and clinical logic organize:

  • grouped vital signs

  • structured symptoms

  • relevant history

  • changes from baseline

  • acuity indicators

➡️ By the end of triage, the note is complete, consistent, and ready for review.

Enables Proactive Discharge Planning ow - proactive dischargte plan

Real-Time Decision Support

Trendlytics provides:

  • clear, evidence-based insights

  • risk alerts and red-flag notifications

  • structured, actionable summaries

➡️ Supports—not replaces—clinical judgment.

Identifies Long-Stay Patients Early

Streamlined Triage Workflow

On the triage dashboard, clinicians see information populate live:

  • vitals update in real time

  • symptoms and history auto-structured

  • red flags automatically highlighted

  • risk scores adjust instantly

➡️ Delivers a complete patient picture as soon as the assessment ends.

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