Muse is a revolutionary resource management solution
…specifically designed for hospice providers, that uses machine learning to inform individualized patient care during the end-of-life trajectory.
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.
View Case StudyUsing machine learning to inform the right care at the right time.
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
Easy-to-view format presents patient risk, trajectory, and key information extracted from the EMR
Muse provides immediate visibility into the processes that impact the Hospice Care Index.
See How…specifically designed for hospice providers, that uses machine learning to inform individualized patient care during the end-of-life trajectory.
…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 detect.
…by enabling better visibility on resourcing, staffing, decision making, and care planning for end-of-lifecare.
“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.”
Contact Us Today for a Personalized Product Demo
View Case StudyProviding compassionate and high-quality support to patients and their f…
By: Cyndi Rizzitello, MSN, RN, BC On March 31, 2023, the Centers …
Years ago, in a small, cozy house nestled in a quiet neighborhood, the f…
In a recent interview with Amy Hirsch, Chief Clinical Officer, and Sandr…
"*" indicates required fields
"*" indicates required fields