Data & Intelligence

Predictive Analytics To Reduce Patient Readmissions

Predictive Analytics to Reduce Readmissions
Patient readmissions are a big problem in U.S. hospitals and have become an area of focus for the healthcare industry and the Government. Patients that are readmitted to the hospital within 30 days of Predictive Analytics to Reduce Readmissionsbeing discharged increase healthcare costs approximately $17.5 billion annually. Hospitals are investing in predictive analytics solutions to help reduce patient readmissions and reduce overall medical costs. Predictive analytics can be a powerful tool for healthcare organizations not only to reduce patient readmissions but to help with population health management.
Data Intelligence - The Future of Big Data
The Future of Big Data

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Perficient recently worked with a large healthcare system in Ohio to develop and implement a custom readmissions solution that predicts readmissions across all diseases and conditions. To learn more about this innovative solution, Stephanie Banks, Marketing Manager at Perficient, interviewed Senior Solution Architect, Dale Less. Read the interview here.

About the Author

Kate Tuttle is a senior marketing professional with more than 13 years of marketing experience in both B2B and B2C environments. She has more than 7 years of healthcare industry experience and is passionate about technology and its impact on consumer experience.

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