Patients, families, and caregivers should have the best end-of-life care experience possible. Unfortunately, existing solutions come up short in ensuring the right resources are deployed at the right time.
Powered by breakthrough data science, Muse intelligently analyzes clinical evidence to identify patient needs and risk levels, visit by visit. Diving deep into patient records, Muse considers the full patient picture to bring care teams smart recommendations based on the latest data. This drives care aligned to every patient’s risk and needs for optimized utilization and improved quality outcomes.
Muse helps ensure patients and their families receive optimal care – especially in their time of greatest need. Predictive analytics empower clinicians with the clinical evidence they need to make better, more timely care decisions:
Muse dives deep into both structured and unstructured patient data, comparing clinical evidence against a robust data set to suggest necessary changes and give care teams the insights they need to act.
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.
Consistently up-to-date recommendations that refresh with every visit for insights based on the latest patient data and more informed care planning.
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…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.
…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.
…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.
“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.”
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