[Iefac.list] IISE CIS Webinar: Monitoring Service Quality in Hospital Emergency Departments

[Du, Dongping]

Dear colleagues,

The IISE Computer Information and Systems (CIS) division would like to invite you to attend our Fall webinar. Please see the abstract of the webinar below.

Monitoring Service Quality in Hospital Emergency Departments



Thursday, Nov. 30, 2 p.m. Eastern time | Register now<https://goto.webcasts.com/starthere.jsp?ei=1167275&tp_key=225a5dba95>

Presenter: Devashish Das, Ph.D., assistant professor, University of South Florida

One of the major applications of big data analytics in complex service systems is to quickly identify deterioration in quality of service. To realize this goal, many industries are collecting vast amounts of data related to important performance metrics. For example, hospital emergency departments collect time-stamped data, which can be used to calculate metrics such as patient's length of stay and time patients wait till seen by a doctor. These data are often complex and inferring changes in such complex data is a challenge. Therefore, there is need to develop better statistical modeling and inference tools that effectively detect changes in performance metric data.

This presentation mostly focuses on building a statistical monitoring scheme for service systems that experience time varying arrivals of customers and have time varying service rates. Motivated by the emergency department of the Mayo Clinic, the goal of the proposed method is to build a statistical monitoring framework that generates an alarm when the quality of service has changed. The proposed method is able to identify patterns of inefficiency or delay in service that are hard to detect using traditional statistical monitoring algorithms.

Devashish Das, Ph.D., is an assistant professor in the Industrial and Management Systems Engineering department of University of South Florida. He received his doctorate in industrial engineering from the University of Wisconsin - Madison in 2015 and bachelor's degree in manufacturing science and engineering from the Indian Institute of Technology - Kharagpur in 2010. His research interests lie at the intersection of statistics, operation research and systems engineering to improve complex service systems, with a focus on advancing the science of health care delivery.

If interested, please use the link below to register.
https://goto.webcasts.com/starthere.jsp?ei=1167275&tp_key=225a5dba95

-----------------
Dongping Du, Ph.D.
Assistant Professor
Department of Industrial, Manufacturing, and Systems Engineering
Texas Tech University
PO Box 43061
Lubbock, TX  79409
Tel: 806-834-7388
E-mail: dongping.du at ttu.edu<mailto:dongping.du at ttu.edu>

-------------- next part --------------
An HTML attachment was scrubbed...
URL: https://lists.clemson.edu/pipermail/iefac.list/attachments/20171103/68176a8e/attachment-0001.html