Wise Practitioner – Predictive Analytics Interview Series: Linda Miner, Ph.D., Southern Nazerene University
By: Jeff Deal, Program Chair, Predictive Analytics World Healthcare
In anticipation of her upcoming conference presentation at Predictive Analytics World Healthcare in Boston, “Developing a Mortality Prediction Model for Disseminated Intravascular Coagulation (DIC),” we asked Linda Miner, Ph.D., Professor at Southern Nazerene University, a few questions about her work in predictive analytics.
Q: What clinical outcomes do your models predict?
A: We would like to be able to predict that someone is at risk of dying from DIC symptoms, based on admission variables.
Q: How does predictive analytics deliver value at your organization? What is one specific way in which it actively drives decisions?
A: If death can be predicted before symptoms of DIC then extra care can be exerted in treatment. We might even be able to figure out which of the patient entry conditions might be most predictive for an individual and more tailored counter measures taken.
Q: Can you describe a successful result, such as the predictive lift of your model or the ROI of an analytics initiative?
A: It is possible that even given the obvious benefit of having people live, hospital stays might be shortened and resources might not be wasted on ineffective treatments with the more targeted treatments.