ICON Seminar in IoT: Professor. Xiang Zhong (UF)

Time: 3:00-5:00 pm Eastern Time, December 1 (Friday), 2023

Location: MSEE 112

Zoom Link: https://purdue-edu.zoom.us/j/98798335169?pwd=ZFNMdmZXendoQ1RCRDczM2dTR1RIdz09

Free coffee and snacks will be provided.

From Discovery to Design:

A Digital Twin Initiative in Acute Care Medicine

Abstract:

The advent of electronic medical records, wearable devices, and the Internet of Medical Things has led to an explosion of data related to disease, biology, and healthcare delivery systems. In this new era, simulation and digital twin technologies have gained unprecedented importance, which has the potential to augment human capacity to improve efficiency, quality, and safety of care. In this talk, we will give an overview of simulation and digital twin applications in acute care medicine and will introduce our ongoing effort to develop a digital platform that will support acute care delivery in the intensive care unit (ICU). On the one hand, we model the clinical pathway of critically ill patients based on the causal and associative relationships between organ system clinical markers, medical conditions, and interventions. These relationships (expert rules), modeled as directed acyclic graphs, are subsequently utilized to simulate the state trajectory of critically ill patients to test the impact of different interventions on patient outcomes. A proof-of-concept iOS application has been developed and internally tested as an educational tool in Mayo Clinic Rochester. On the other hand, we propose a qualitative and quantitative coupling approach to modeling ICU care delivery systems. A hybrid simulation model was developed to 1) characterize major care delivery processes as discrete-time events, 2) feature patients, clinicians, and other artifacts as autonomous agents, and integrate them in the same simulation environment to capture their interactions under a variety of ICU production conditions. The long-term goal is to validate these models and integrate them into the hospital’s existing digital infrastructure (Epic, AMP- Acute Care Multi-Patient Viewer, DataMart) to support clinical operations in real time.             

Speaker:

Dr. Xiang Zhong received her B.S. from the Department of Automation, Tsinghua University, Beijing, China, in 2011, and her M.S. in Statistics and Ph.D. in Industrial Engineering from the University of Wisconsin-Madison in 2014 and 2016. Currently, she is an Associate Professor at the Department of Industrial and Systems Engineering and the co-director of the Health-Engine Lab at the University of Florida. Her research interests include stochastic modeling and control, simulation, and data analytics with applications in healthcare, service, and production systems. She is a member of IEEE, IISE, and INFORMS.

Recording:

https://www.youtube.com/watch?v=wNOQZkEgq68&ab_channel=ICONPurdue

Organizers: Ziran Wang (ziran@purdue.edu), Patrick Hyun (nhyun@purdue.edu), & Tho Le (thovle@purdue.edu)