Predictive Analytics guide proactive support to patients undergoing chemo, resulting in lowered admissions
Since the launch of this model, early results indicate success, as observed by a 13% reduction in avoidable inpatient admissions.1
Our oncology partners have recognized the value of this predictive modeling capability and routinely supplement their own information to proactively outreach to patients who may benefit from additional support during treatment.
Mary Scott, RN, from City of Hope says this data enables them make better decisions about patient care, “…best part [of this model] is having some data and some information and some specifics about patients that are deemed to be at risk and keeping them out of the hospital, which is a pretty critical part of our work. I think with the [Empire] information we've been able to tackle that in a much better and more organized fashion because they provide us with a list of patients that are high risk, medium risk, and low risk for admission, people who are on chemotherapy, and these regimens can be pretty complicated, pretty toxic, and it helps us to make those better decisions for their care.”
Watch this video, using Google Chrome, to hear more about how our collaborative partnerships with oncology practices is leading to improved outcomes.
For more information on Empire’s Cancer Care Solutions, email email@example.com or contact your Empire Oncology Provider Clinical Liaison.
September 2020 Empire Provider News