As data technology has taken a prominent role in how hospices drive patient outcomes, your hospice requires access to the right data to easily prioritize visits and adjust care plans to drive quality for patients at the end of life.

Optum’s predicted transitions, using revolutionary machine learning technology, transforms data and analytics into a whole new level of reporting for hospice. In addition, your partnership with Optum further enhances personalized care by leveraging Data at the Point of Care (DPC) from the Centers for Medicare & Medicaid Services (CMS).

How it works

Optum receives data on individual patient health records (e.g. past hospitalizations, diagnoses, medications) and other valuable data points to provide predicted transitions. This information can be useful to direct patient care related to Service Intensity Add-on (SIA) visits, plan of care adjustments and assistance in identifying patients with the highest likelihood to transition to hospice in the next six months.

Service Intensity Add-on (SIA) Opportunities
Increase care within the last days of life, while improving Hospice Compare Scores, by harnessing the power of HospiTrac’s machine learning technology to identify hospice patients that are most likely to transition within the next 7-10 days

Clinician Alerts for Patient Transitions
To drive quality improvement and personalized care, HospiTrac identifies patients in the last 1, 3 or 6 months that potentially require care plan adjustments based on disease trajectories and other key analytic data provided to your hospice

See it in action

Imagine how a few simple clicks can provide details about your patients transitioning and other key details. Watch this short video to see how easy it is to access valuable data.  Watch video >

Let’s get started!

As the industry grows, data and technology continues to lead the way in which hospices manage their business. Contact us to receive additional info and talk to a Optum representative.