Using Web-based Predictive Analytics to Improve Patient Flow

View paper 

View presentation 

Session
Analytics and Systems Engineering Friday PM
 
Authors
David Buckler
Senior Project Manager
CACI

Description
CACI has developed a web-based decision support application that will allow hospitals to utilize simulation to improve patient flow. In addition to more convenient, comfortable care for patients, the application provides hospitals with a proactive analytical approach to managing processes and resources.

Abstract
My presentation will discuss the lessons learned during my experience building a web-based decision support application that allows hospitals to utilize simulation when studying patient flow. The application itself provides a proactive versus reactive capability for managing processes and resources which allows the hospital to continuously improve the way they manage patient flow.

Most simulations are desktop models that need trained professionals to execute them. This web-based tool allows hospital employees to run their own "what-if" scenarios by simply changing key parameters. The actual simulation model runs "behind the scenes" and returns only the information needed by the user, allowing them to get answers quickly and easily.

All of the modeling objects are located in a database so any hospital can piece together their unique business processes, resources, and patient profiles, and then run their own simulations. Hospitals don't need to hire trained simulation professionals to conduct complicated and expensive process studies. This tool helps them get started fast to get the answers they want. In addition, the results of the models can be exported to any type of managerial tool, whether a balanced scorecard, dashboard, or other visual reporting software application.




© 2014 Society for Health Systems. All rights reserved.