Identify Patients Who Need Care Transitions Before It's Too Late
Stop missing critical windows for patient care. Surface patients who could benefit from hospice services with AI-powered clinical analysis.
Key Metrics
The Challenge
Healthcare providers struggle to identify patients who may benefit from hospice care in a timely manner. Late referrals mean reduced quality of end-of-life care, missed opportunities for appropriate care transitions, and families left without support during critical moments.
Pain Points We Eliminate
- Patients referred to hospice too late for meaningful benefit
- Clinical teams overwhelmed with manual chart reviews
- Inconsistent identification criteria across staff
- Missed opportunities for timely family counseling
How We Solve It
Our AI analyzes clinical documentation in real-time, identifying patterns that indicate a patient may benefit from hospice evaluation. The model considers diagnosis progression, functional decline, symptom burden, and social factors to provide actionable insights.
Real-time Analysis
Get predictions within seconds as clinical documentation is updated
Explainable Reasoning
Clear clinical rationale behind every prediction—never a black box
Risk Stratification
Patients categorized by urgency to prioritize care team follow-up
Care Team Alerts
Automated notifications when patients meet threshold criteria
How It Works
From integration to insights in four simple steps
Connect Your Data
Secure integration with your EHR or clinical documentation system
AI Analysis
Our model analyzes patient records for hospice eligibility indicators
Actionable Insights
Receive prioritized patient lists with clinical reasoning and next steps
Care Team Action
Clinical staff review AI recommendations and initiate appropriate conversations
Use Cases
Deployed across multiple care settings
Hospital Discharge Planning
Identify patients during acute stays who may benefit from hospice upon discharge
Home Health Transitions
Surface home health patients showing signs of terminal decline
Chronic Disease Management
Monitor patients with life-limiting conditions for appropriate timing
Frequently Asked Questions
Hospice Risk Assessment AI — what care teams ask most
Is there an AI agent for home health to hospice transitions?
Yes. Care Intelligence Engine’s Hospice Risk Assessment is an AI agent that reviews clinical documentation to surface home health and hospital patients who may be appropriate for hospice, so care teams can act before referral windows close.
What is Hospice Risk Assessment AI?
It is an AI model that analyzes clinical documentation — diagnosis progression, functional decline, symptom burden, and social factors — to identify patients who may benefit from a hospice evaluation, helping care teams avoid late referrals.
How accurate is the hospice risk model?
The model delivers approximately 95% prediction accuracy, clinically validated against expert clinician assessments, and can help agencies identify appropriate patients up to 40% earlier.
Is the AI explainable?
Yes. Every prediction includes clear clinical rationale so care teams understand why a patient was surfaced. It is designed to support clinical judgment, not replace it.
Who uses Hospice Risk Assessment AI?
Hospice organizations, home health agencies, hospital discharge planners, and post-acute care providers use it to surface patients during acute stays, home health, and chronic disease management.
Ready to Transform Patient Care?
See how Hospice Risk Assessment can help your organization identify patients earlier and improve care transitions.