Using data to guide end-of-life conversation and planning

Schedule a demo

Medalogix Bridge

Identifying potential hospice patients and coordinating your team

A 2021 study from the Stanford School of Medicine found that although 80% of Americans say they would prefer to die at home, only 20% do. Medalogix Bridge supports patients’ wishes, using machine learning to identify patients earlier who are most likely to benefit from hospice. This leads to dramatic improvements in care quality and efficiency.

Read the Whitepaper

Data science ensures compassionate and timely end-of-life planning

  • Increase care quality and patient satisfaction improving the family‚Äôs experience
  • Decrease hospitalizations and deaths on the home health census
  • Decrease unnecessary home health utilization and frequent rehospitalizations
%
decrease in deaths on home health census
%
decrease in earlier deaths on hospice census

Increases billable hospice days
by up to 180%

Our predictive model leverages EMR data to generate an ordered list of patients to be clinically evaluated for hospice appropriateness

Identifies patients on the home health census who are likely to pass away in the next 90 days

Provides workflow which allows clinicians to move patients through a customized virtual care path

Dashboards and reports that monitor utilization and patient outcomes

Our Expertise

Improving Hospice Care with Data-Driven Insights: A Conversation with Knute Nelson Hospice

Providing compassionate and high-quality support to patients and their f…

The FY 2024 Hospice Payment Rate Update Proposed Rule: Why Quality Matters Even More

By: Cyndi Rizzitello, MSN, RN, BC On March 31, 2023, the Centers …

The Empty Chair at the Head of the Table

Years ago, in a small, cozy house nestled in a quiet neighborhood, the f…

BAYADA uses Muse to transform hospice care

Transforming Hospice Care: The Impact of Medalogix Muse at BAYADA

In a recent interview with Amy Hirsch, Chief Clinical Officer, and Sandr…

Schedule a Demo

"*" indicates required fields

Product Interest