End-of-life care is an essential, but challenging part of healthcare. We want patients, families and caregivers to be able to have the best care experience they can in these circumstances. Muse is the only data-driven technology that uses machine learning to accurately predict patient transitions to enable better end-of-life care.
Muse helps patients transition with dignity
- Informs optimal utilization of care resources including RN, MSW, CH, aide, supplies, medications, and DME
- Enables accurate transition communication to families and physicians
- Manage hospice care utilization and revocations
- Support Service Intensity Add-on (SIA) payment utilization
- Track and trace COVID-19 patients
%
accuracy in predicting transitions in the next 7 days
2.60 >
patient visits than the national average
The more data we add, the better
predictive models become
Deep learning neural network analyzes 900+ data points from every skilled visit
Compares patient to over 60,000 active hospice patients on our platform, as well as hundreds of thousands of records and millions of visits from deceased patients
Extracts key patient information from the EHR and presents this data including patient risk and trajectory in an easy-to-view fashion
Our Expertise
Aveanna Healthcare Launches Homecare Homebase and Medalogix Platforms Across Home Health and Hospice Divisions
May 17, 2022, Dallas, TX – Aveanna Healthcare (the “Company”) (NASDAQ: A…
Hospice Public Reporting of New Claims-Based Quality Measures Begins in May 2022
How to prepare for New Claims-Based Quality Measures with Hospice Public…
Data-Driven Care Decisions at End-of-Life
Let the Data Do the Work: Bridging the Home Health to Hospice Continuum.