Detect sepsis before it becomes irreversible
Prescient’s Sepsis Early Warning identifies patients on a deterioration trajectory before lactate rises, before MEWS triggers, and well before Epic’s native model fires — enabling intervention when outcomes are still modifiable.
Why This Matters
Sepsis is not a sudden event. It is a trajectory failure.
- Most systems detect sepsis too late in the curve
- Alerting is driven by threshold breaches, not trajectory shifts
- By the time alerts fire, clinical options are already constrained
Result
Delayed intervention → higher mortality → higher cost → avoidable ICU utilization
What Prescient Does Differently
Trajectory-Based Detection — Not Threshold-Based Alerting
Instead of waiting for abnormal values, Prescient models how a patient is trending toward sepsis.
Key signals include:
- Subclinical vitals drift
- Lab progression patterns
- Clinical note signals (NLP-derived)
- Treatment-response deviation
- Prior utilization context
How It Works
Continuous Risk Scoring Across the Care Continuum
Every 15 minutes, the system
Ingests real-time clinical + historical data
Computes trajectory-based risk scores
Updates patient ranking across ED and inpatient settings
Pushes prioritized alerts to clinicians
What Clinicians See
Not another alert. A prioritized decision signal.
Example output:
CRITICAL · SEPSIS RISK
74F · ED Bay 3
- Lactate: 3.2
- Temp: 38.9°C
- Trajectory indicates sepsis onset in 48–72h
Composite Risk Score: 97
Daily Priority Patient List
Instead of scanning charts, teams receive:
- Ranked list of highest-risk patients
- Clear clinical rationale
- Time-to-deterioration estimate
Clinical Impact
Earlier antibiotic initiation
Reduced septic shock progression
Lower ICU admissions
Improved SEP-1 compliance performance
Why It Outperforms Epic Esm
Capability
- Detection logic
- Timing
- Miss rate
- Workflow
Epic ESM
- Threshold-based
- Late-stage
- High
- Reactive alerts
Prescient
- Trajectory-based
- 48–72h earlier
- Reduced via multi-signal modeling
- Proactive prioritization
Integration
- Read-only HL7/FHIR integration with Epic
- No workflow disruption
- Alerts delivered within existing clinical workflows
Pilot Approach
- 90–180 day pilot using historical Epic data
- Back-tested detection vs. actual outcomes
- Clear success metrics defined upfront
See sepsis detection before the curve turns
Request a clinical demo and evaluate performance against your own data.
