The effect of predictive analytics-driven interventions on healthcare utilization Research brief (Leonard Davis Institute of Health Economics) David, Guy, author. Smith-McLallen, Aaron, author. Ukert, Benjamin, author. Algorithms Data Science Facilities and Services Utilization -- statistics & numerical data Heart Failure -- therapy Risk Assessment Among high-risk Medicare Advantage members with congestive heart failure, a proactive outreach program driven by a claims-based predictive algorithm reduced the likelihood of an emergency department (ED) or specialist visit in one year by 20% and 21%, respectively. The average number of visits dropped as well, with a 40% reduction in the volume of ED visits and a 27% reduction in the volume of cardiology visits after the first year. Philadelphia, PA : Leonard Davis Institute of Health Economics, 2019 Leonard Davis Institute of Health Economics, issuing body. Technical Report Text Illustrations Portraits 1 online resource (1 PDF file (2 unnumbered pages)) nlm:nlmuid-101750238-pdf 101750238 http://resource.nlm.nih.gov/101750238 English United States Reproduced with permission of the copyright holder. Further use of the material is subject to CC BY license. http://creativecommons.org/licenses/by/4.0