The effect of predictive analytics-driven interventions on healthcare utilization

The effect of predictive analytics-driven interventions on healthcare utilization

Collection:
Health Policy and Services Research
Series Title(s):
Research brief (Leonard Davis Institute of Health Economics)
Author(s):
David, Guy, author
Smith-McLallen, Aaron, author
Ukert, Benjamin, author
Contributor(s):
Leonard Davis Institute of Health Economics, issuing body.
Publication:
Philadelphia, PA : Leonard Davis Institute of Health Economics, 2019
Language(s):
English
Format:
Text
Subject(s):
Algorithms
Data Science
Facilities and Services Utilization -- statistics & numerical data
Heart Failure -- therapy
Risk Assessment
United States
Genre(s):
Technical Report
Abstract:
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.
Copyright:
Reproduced with permission of the copyright holder. Further use of the material is subject to CC BY license. (More information)
Extent:
1 online resource (1 PDF file (2 unnumbered pages))
Illustrations:
Illustrations and Portraits
NLM Unique ID:
101750238 (See catalog record)
Permanent Link:
http://resource.nlm.nih.gov/101750238