Three Examples of Predictive Analytics in Clinical Practice

I have posted previous notes about predictive analytics, particularly with regard to their use in the clinical labs (see, for example:Successfully Screening for Lung Cancer Based on Predictive Analytics;Diagnostic and Predictive Analytics and Their Possible Link to the Future of the LIS). However, of at least of equal importance, will be the use of predictive analytics in hospitals to improve clinical care and reduce costs. Such projects are even more important in an era of value based case with emphasis on efficiency and effectiveness. I therefore thought that it would be useful to provide some example of projects in this area (see:3 Examples of How Hospitals are Using Predictive Analytics). Below is an excerpt from it:Predictive analytics is increasingly key to powering hospital initiatives that maximize efficiency, realize cost savings, and help deliver superior care....The goal is often to improve operational efficiency or to proactively provide services that prevent greater problems and spending.Many hospitals have started with applications aimed at reducing readmissions and predicting which patients are at risk of developing sepsis. Other common use cases focus on optimizing staffing and resources. Here are three other examples of hospitals successfully putting predictive analytics into action.Operating room bottlenecks: The University of Chicago Medical Center (UCMC) used predictive analytics to tackle the problem of operating room delays.Such delays are aggravat...
Source: Lab Soft News - Category: Laboratory Medicine Authors: Tags: Cost of Healthcare Healthcare Business Healthcare Delivery Healthcare Innovations Medical Research Predictive Analytics Quality of Care Source Type: blogs