Achieve risk-aligned, right-sized hospice care

At Medalogix, we believe patients, families, and caregivers should have the best end-of-life care experience possible. The biggest challenge is ensuring the right resources are deployed at just the right time.

Medalogix Muse is the only data-driven technology that uses machine learning to accurately predict patient transitions to enable better end-of-life care, aligned to patients’ real-time needs.

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Muse: a revolutionary hospice visit-by-visit resource management solution

Using machine learning to inform the right care at the right time for optimal utilization and improved quality outcomes

  • Gives care teams clear action items to drive acuity- and risk-aligned utilization – including RN, MSW, CH, aide, supplies, medications, and DME
  • Enables accurate transition communication to families and physicians
  • Drives hospice care utilization and quality performance improvements
  • Supports Service Intensity Add-on (SIA) payment utilization

More Data = Stronger

Predictive Models

Muse dives deep into both structured and unstructured patient data to power smart insights and actionable recommendations

Deep learning neural network analyzes 749 million words and 1.1 billion attributes from every skilled visit

Compares individual patient data to more than 60,000 active hospice patients on the Muse platform, as well as millions of records and visits from deceased patients

At-a-glance, actionable user interface presents key insights to drive right-sized care, rooted in clinical evidence from the EMR like patient risk, trajectory, and other key data

Simplify Compliance with the Hospice Quality Reporting Program (HQRP)

Muse provides immediate visibility into the processes that impact the Hospice Care Index and Hospice Visits in the Last Days of Life (HVLDL), providing clear recommendations and the ability to quickly take action to drive improvements.

See How
Streamline Clinician Workflow and Reduce Training Burdens

The Muse homepage was designed to streamline clinician workflow and reduce training burdens through quick insights and curated patient lists.

  • Visualize the percentage of your population in each risk category.
  • Confirm patients in higher risk categories have a higher concentration of scheduled visits in the next 7 days.
  • Quickly navigate to patients with a significant decline in condition.
  • Quickly navigate to patients with a gap in skilled nursing.
  • Identify patients to consider adding to program or removing from program.
  • Identify patients to consider making a plan of care change.

Muse is a revolutionary resource management solution

…specifically designed for hospice providers, applying machine learning to inform individualized patient care on a visit-by-visit basis during the end-of-life trajectory.

Hear from our Clients

Muse capitalizes on comprehensive patient data

…captured by clinicians to objectively surface patient risk, identify patterns, and surface subtle trends or signs of significant decline, employing a power that clinician eyes alone cannot.

Hear from our Clients

Muse effectively enables patient-centered care

…by providing better visibility into resourcing, staffing, decision making, and care planning for end-of-life care. Customizable visit goals ensure care aligned to patient acuity and an agency’s census composition.

Hear from our Clients

Avow Success Story with Muse

“First thing each morning, Avow staff logs into Muse to see a risk- stratified list of their patients, and adjusts their day based on the patient specific needs.”

– Rebecca Gatian, Chief Clinical Officer, Avow
%
more HVLDL visits than the national benchmark
%
Patients identified as critical risk receive 125% more care
%
NPS Score
>
Visits in the
last 7 days*
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See How Amedisys Improves End of Life Care with Medalogix Muse

Contact Us Today for a Personalized Product Demo

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Muse

Prioritize patients most in need of end-of-life care.

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Amedisys uses Muse

to Improve Quality
Medalogix client, Dr. Moss of Amedisys, highlights how Muse empowers clinicians with predictive and operational insights to support the timely delivery of high-quality care.


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