![](https://hip.wisc.edu/wp-content/uploads/2023/03/Elderly-man-falls-at-home-1024x683.jpeg)
Predictive models are increasingly being developed and implemented to improve patient care across a variety of clinical scenarios. While a body of literature exists on the development of models using existing data, less focus has been placed on practical operationalization of these models for deployment in real-time production environments.
This case-study by HIP Investigator Dr. Brian Patterson describes challenges and barriers identified and overcome in such an operationalization for a model aimed at predicting risk of outpatient falls after Emergency Department (ED) visits among older adults. The study provides general principles for translating an EHR-based predictive model from research and reporting environments into real-time operation.
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