Hospice News: Hospices Leverage Machine Learning to Improve Care
Updated: Oct 7, 2020
Hospice News recently interviewed our co-founder and CEO, Bryan Mosher, along with one of our super users, Dr. Andrew Mayo at St. Croix Hospice, to discuss machine learning in hospice care. You can find an excerpt below or the full article here.
By Jim Parker | January 14, 2020
Hospice providers are using new machine learning tools to identify patients in need of their services earlier in the course of their illnesses and to ensure that patients receive appropriate levels of home visits in their final days.
While hospice utilization is rising, lengths of stay for many patients remains too short for them to receive the full benefit of hospice care. Hospice utilization among Medicare decedents exceeded 50% for the first time in 2018, according to the National Hospice & Palliative Care Organization (NHPCO). More than 27% of patients in 2017, however, were in hospice for seven days or less, with another 12.7% in hospice for less than 14 days, NHPCO reported.
While not a panacea, machine learning systems have the ability to help hospices engage patients earlier in their illness trajectory. Machine learning, a form of artificial intelligence, uses algorithms and statistical models to detect patterns in data and make predictions based on those patterns.