Michael Booker MD, MBA, Presenter: Nothing to Disclose

Ryan O'Connell, Abstract Co-Author: Nothing to Disclose

Bhushan Desai MBBS, MS, Abstract Co-Author: Nothing to Disclose

Vinay Anant Duddalwar MD, FRCR, Abstract Co-Author: Research Grant, General Electric Company

- To understand systems engineering and Discrete Event Simulation (DES) - To know how DES can inform and answer common QI questions in radiology - To learn how to introduce DES software into their own radiology practice

Systems engineering with discrete event simulation (DES) We will describe the utility of simulation to test complex radiology workflows and how DES is particularly useful in radiology to analyze a number of variables including resource scheduling, wait times, turnaround times, and equipment expenditures. Radiology examples of DES We will introduce a large-scale simulated imaging department and analyze specific systems questions that come up frequently in radiology decision-making. These include: • Wait times and resource capacity • Extending operational hours vs. purchasing additional equipment • Dedicating equipment to sequences vs. pooling resources • Scheduling in peak-demand situations • POC testing for contrast administration Quick-start guide to DES software We will walk through the basics of setting up a classic radiology workflow in a DES software package called Simul8 (Simul8 Corp.) that was chosen for its user-friendly graphic interface. This will allow the learner to begin analyzing their own radiology workflows with minimal formal training.

http://abstract.rsna.org/uploads/2014/14008253/14008253_e6ui.pdf

Booker, M, O'Connell, R, Desai, B, Duddalwar, V, Quality Improvement with Discrete Event Simulation (DES): A Primer for Radiologists.  Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL. http://archive.rsna.org/2014/14008253.html