A regional hospital network has seen a recent escalation in costs for unknown reasons. In this webcast case study, the hospital network uses visual analysis techniques to explore factors that may be contributing to higher costs. As a result, its analysts are able to quickly identify fraud, waste and abuse, and visually present the results to key decision makers in a compelling way. In the end, the hospital has enough information to make improvements to keep costs down and provide better patient care.
JMP allows you to explore your data dynamically and allows your data to tell you what is interesting. See how you can move through your data quickly and with agility until you find the visualization that best communicates the story in your data.
Participants will learn how to:
- Clean up and categorize the data in a few simple steps.
- Interactively explore variables that may be contributing to the problem.
- Drill down to learn more about the likely root causes.
- Present results graphically in a compelling way.