Platform / Early Warning & Sepsis
Early Warning & Sepsis Prediction
See deterioration hours before it's charted.
Prescient continuously scores every inpatient for sepsis and clinical deterioration risk, surfacing a Low-to-Critical band change the moment the underlying data shifts — not at the next scheduled vitals check.
The Problem
Why this matters
Sepsis is coded after the fact. By the time SIRS or qSOFA criteria are formally documented, the physiological signal has often existed in vitals and labs for hours. That gap is where preventable mortality lives.
See It In Action
A Risk Score Crossing Into High
Illustrative example: one patient's continuous risk score crossing from Moderate into High before clinical intervention.
Inputs
What the model scores
- Continuous vitals (heart rate, respiratory rate, temperature, blood pressure, SpO2)
- Lab trends (lactate, WBC, creatinine, procalcitonin where available)
- Nursing and physician notes via NLP-derived signal
- Prior encounter and comorbidity history from the EHR
Workflow
Where it shows up
- Risk band changes surface directly in the clinician's existing EHR workflow
- Escalation alerts route to the assigned nurse and rapid response team, not a generic inbox
- Every alert shows the contributing factors, so clinicians see why the score moved
A Typical Scenario
How This Plays Out
- 06:42Subtle vitals shift
Respiratory rate and heart rate begin trending upward on routine monitoring. Nothing yet meets formal SIRS criteria, and no manual alert has fired.
- 06:44Risk band moves to Moderate
Continuous scoring picks up the trend across vitals and recent labs — two minutes after the first data point, not at the next scheduled check.
- 07:15Risk band moves to High
A rising lactate trend combines with the continued vital signs change. The assigned nurse and rapid response team are notified inside the EHR, with the contributing factors attached.
- 07:20Clinical team intervenes
Rapid response evaluates the patient and initiates the sepsis protocol — ahead of when a scheduled screening would typically have caught the change.
Data Flow
How Data Becomes a Risk Score
Continuous vitals, lab trends, and notes stream in over HL7 FHIR.
Every new data point updates the patient's deterioration risk band.
Band changes route to the assigned nurse and rapid response team.
Response is documented; outcome feeds back into the model.
The Difference
Without vs. With Early Warning & Sepsis
| Without Prescient | With Prescient | |
|---|---|---|
| Detection timing | Relies on scheduled vitals checks and manual SIRS/qSOFA screening | Continuous scoring flags a rising trend as soon as the data shifts |
| Alert routing | Manual escalation once criteria are formally documented | Automatic routing to the assigned nurse and rapid response team |
| Context for clinicians | A single vitals reading, viewed in isolation | The full trend and the specific factors driving the score |
| Where it lives | A separate report or chart review | Surfaces inside the EHR workflow already in use |
Evidence & Validation
Deployment-specific validation is run against each health system's own mortality, time-to-antibiotics, and length-of-stay baselines before go-live.
Earlier rapid-response activation
A health system deployment tracked the elapsed time between the first physiological signal and rapid-response activation, comparing pre- and post-deployment periods.
Frequently Asked
Questions about Early Warning & Sepsis
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