Sponsored by: Logi Analytics
Healthcare applications tap into vast amounts of data, from health records and clinical trials to billings and claims. Endless data means endless opportunities to improve patient outcomes, increase regulatory compliance, and protect against fraud—especially with the power of predictive analytics.
Predictive analytics uses historical data and machine learning to answer the question: “What is most likely to happen based on my current data, and how can I change that outcome?” New predictive analytics tools are easy to use, even without expertise in R, Python, or statistical modeling. Application teams are able to predict future trends and improve outcomes across the board.
View the webinar to see:
- Practical strategies for finding and defining predictive problems
- Examples of how predictive analytics solves common challenges in clinical workflows, invoicing and claims, and hospital utilization
- A live demo of how any application team can assemble data, build a predictive model, distribute insights, and empower their users to take action
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