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Hospice Risk Assessment

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

95%
Prediction Accuracy
Clinically validated against expert assessments
40%
Earlier Referrals
Patients identified sooner in their care journey
2x
Team Efficiency
Reduce time spent on manual chart reviews
85%
Family Satisfaction
Improved end-of-life planning experience

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
The Solution

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

01

Connect Your Data

Secure integration with your EHR or clinical documentation system

02

AI Analysis

Our model analyzes patient records for hospice eligibility indicators

03

Actionable Insights

Receive prioritized patient lists with clinical reasoning and next steps

04

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

Ready to Transform Patient Care?

See how Hospice Risk Assessment can help your organization identify patients earlier and improve care transitions.