Identify advanced illness before the final hospitalization
Prescient identifies patients on a declining clinical trajectory weeks earlier, enabling timely palliative-care engagement and better care alignment.
The Problem
Most palliative care referrals happen too late.
- Triggered after repeated hospitalizations
- Identified only during final admission
- Driven by utilization — not trajectory
Result
Late conversations → misaligned care → unnecessary ICU utilization → poor patient experience
What Prescient Does Differently
Predicts decline before utilization signals appear
Prescient detects advanced illness based on:
- Functional decline patterns
- Recurrent acute episodes
- Treatment-response inefficiency
- Clinical documentation signals
- Longitudinal utilization patterns
How It Works
Longitudinal Patient Modeling Across Settings
The model continuously evaluates
ED visits
Inpatient stays
Home-based care signals
Medication escalation patterns
What Clinicians See
Early Identification — Not Post-Fact Labeling
HIGH · PALLIATIVE RISK
81M · IP Ward 6B
- 3rd hospitalization in 90 days
- ECOG 3 functional status
- Declining response to treatment
Composite Risk Score: 89
Clinical Workflow Impact
Enables
- Earlier palliative consults
- Advance care planning discussions
- Reduced non-beneficial ICU interventions
- Improved patient and family experience
Operational Impact
- Reduced readmissions
- Lower cost of care in final months
- Better alignment with value-based care models
- Improved Medicare Advantage performance
Why This Matters Now
Healthcare systems are increasingly accountable for:
- End-of-life care quality
- Cost of late-stage interventions
- Patient satisfaction and outcomes
Integration
- No EHR workflow disruption
- Delivered via dashboards and priority lists
- Works across inpatient + home-care settings
Pilot Approach
- Retrospective identification vs. known outcomes
- Validation against hospitalization patterns
- Custom thresholds aligned to system goals
Move palliative care upstream
See how early identification changes outcomes, cost, and patient experience.
