By: Jeff Deal, Program Chair, Predictive Analytics World Healthcare

In anticipation of her upcoming conference co-presentation at Predictive Analytics World for Jessica TaylorHealthcare Boston, Sept 27-Oct 1, 2015, we asked Jessica Taylor, Care Manager at St. Joseph Healthcare, a few questions about incorporating predictive analytics into healthcare. Catch a glimpse of her co-presentation, Improving Care Coordination and Reducing Readmissions Using Real Time Predictive Analytics, and see what’s in store for the second annual PAW Healthcare conference in Boston.

Q: In your work with predictive analytics, what area of healthcare are you focused on?

A: I am currently focused on reducing costs, improving quality of care, improving patient experience, and improving transitions of care.

Q: What outcomes do your models predict?

A: The model predicts the risks for Emergency Room Visits, Admissions to the Hospital, readmissions, and decline in health status.

Q: How does predictive analytics deliver value at your organization? What is one specific way in which it actively drives decisions or impacts operations?

A: The ability to be proactive instead of reactive with our patient’s care has been integral to our team. The analytic tool allows my team to focus on the patients at risk, allocate our time and resources more efficiently, and decisively. We are able to create work lists that identify patients who are in the community or currently in patient who may be at risk or need support.  As the tool is predictive we can connect with those at risk before an event or exacerbation occurs. This all translates into higher quality of care for our patients, delivered at the time when they need it most.

Q: Can you describe a successful result, such as the predictive lift of your model or the ROI of an analytics initiative?

A: The ability to have timely accurate information at our finger tips, in tandem with patient lists, allows my team to work more efficiently and increase our productivity. We no longer find ourselves duplicating task, and working to the level of our licensure. This allows us to connect with more patients, provide more support, and improve more outcomes.

Q: What surprising discovery have you unearthed in your data?

A: With the implementation of the predicative tool we have reduced our Emergency Room visits, both initial and returns. This was a direct result of having the ability to see such robust current information, allowing us to identify opportunities for education with our patients.

Q: What areas of healthcare do you think have seen the greatest advances or ROI from the use of predictive analytics?

A: Population management, coordination of care, transitions of care.

Q: Sneak preview: Please tell us a take-away that you will provide during your talk at Predictive Analytics World.

A: How the implementation of predictive analytics can improve coordination of care, improving quality of care, reduce costs, and improve patient satisfaction.


Don’t miss Jessica’s co-presentation, Improving Care Coordination and Reducing Readmissions Using Real Time Predictive Analytics, at PAW Healthcare on Tuesday, September 29, 2015 from 10:05 to 10:50 am. Click here to register for attendance.

By: Jeff Deal, Conference Chair, Predictive Analytics World Healthcare