AUTHOR=Engstrom Collin J. , Adelaine Sabrina , Liao Frank , Jacobsohn Gwen Costa , Patterson Brian W. 

TITLE=Operationalizing a real-time scoring model to predict fall risk among older adults in the emergency department

JOURNAL=Frontiers in Digital Health

VOLUME=4

YEAR=2022

URL=https://www.frontiersin.org/journals/digital-health/articles/10.3389/fdgth.2022.958663

DOI=10.3389/fdgth.2022.958663

ISSN=2673-253X

ABSTRACT=<p>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 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. Based on our experience, we provide general principles for translating an EHR-based predictive model from research and reporting environments into real-time operation.</p>