HealthIT Answers November 19, 2024
Industry Expert

By Zac Amos, Features Editor, ReHack

Preventing unnecessary hospital readmissions is critical for improving patient outcomes and controlling healthcare costs. Each readmission adds to healthcare costs and disrupts a patient’s recovery, impacting quality of life and increasing risk.

Here are some ways predictive analytics can help reduce hospital readmissions, as well as practical ways healthcare professionals and providers can harness its potential.

Understanding Predictive Analytics in Healthcare

Predictive analytics uses historical and real-time data to anticipate future events or outcomes. In healthcare, it allows professionals to analyze patient data and determine the likelihood of certain conditions or events, such as readmissions.

By leveraging advanced machine learning models, predictive analytics can uncover patterns that indicate which patients may be at higher...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: Analytics, Health System / Hospital, Provider, Technology
M&A: Health Catalyst Acquires Upfront Healthcare Services
Health Catalyst Buys Upfront, Announces Partnership With Databricks
What to expect in US healthcare in 2025 and beyond
Intermountain Sells Behavioral Health Analytics Model to NeuroFlow
MultiPlan refinances to extend debt capital structure

Share This Article