Muse Healthcare
Equipping clinicians with world-class analytics to ensure every hospice patient transitions with unparalleled quality and dignity.
Overview
Muse Healthcare provides a predictive modeling tool that uses a deep learning neural network to analyze EMR data. It identifies hospice patients who are most likely to transition within 7-12 days, allowing agencies to allocate resources more effectively and provide more focused care during the most critical time. The tool integrates with existing EMRs and does not require changes to clinician workflow.
✨ Key Features
- Predictive Analytics for Patient Transition (7-12 days)
- Deep Learning Neural Network Technology
- Risk Stratification of All Hospice Patients
- Integrates with Existing EMRs
- Uses over 800 data points for analysis
- Visual alerts for clinical supervisors
🎯 Key Differentiators
- Uses a true deep learning neural network, unique in the hospice space
- Focuses specifically on predicting the 7-12 day transition window
- Does not require changes to clinician documentation behavior
Unique Value: Provides highly accurate predictions of patient transition, enabling hospices to deliver more compassionate and timely care when it matters most, improving both patient dignity and quality metrics.
🎯 Use Cases (4)
✅ Best For
- Increasing visits in the last 3-7 days of life
- Improving agency quality scores and service intensity revenue
- Accurately predicting patient decline with over 90% precision
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Agencies looking for a full EMR/documentation system
- Organizations without an existing EMR to integrate with
🏆 Alternatives
Its specialized focus on a deep learning neural network for end-of-life transition prediction is more advanced than the broader analytics offered by some all-in-one EMRs.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Phone Support
- ✓ Dedicated Support (All tier)
🔒 Compliance & Security
💰 Pricing
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