> Elsevier > Data Rich, Analytics Poor: Predicting and Avoiding Preventable 30-Day Re-hospitalizations
 

Data Rich, Analytics Poor: Predicting and Avoiding Preventable 30-Day Re-hospitalizations

White Paper Published By: Elsevier
Elsevier
Published:  Jul 27, 2012
Type:  White Paper
Length:  10 pages

The era of intensified scrutiny of 30-day readmissions for same or related DRG has
arrived. Based on data collected in 2012, hospitals can no longer depend on all admissions as a
source of revenue, especially readmissions deemed preventable. Analytic tools that provide an
accurate prediction of a patient’s readmission risk are in active development and are guiding
health systems in reducing these avoidable occurrences. The best predictive tools use regression
analyses of large-scale databases that generate weighted drivers of risk that can predict
likelihood of readmission for individual patients. Risk scores guide providers to revise and
enhance inpatient care and post-discharge plans for at-risk patients.



Tags : 
information technology

Already a subscriber? Log in here
Please note you must now log in with your email address and password.