Annual December Networking Event

December 12, 5:00pm, CST - 7:00pm, CST

UT Health Institute for Molecular Medicine
Ground Floor Atrium
1825 Pressler St. 
Houston TX 77030

Parking ($8) is next door at
UT Health University Center Tower
7000 Fannin
Houston TX 77030

Registration

The annual Houston HIMSS December Networking event is at the UT Health Institute for Molecular Medicine! Come join us as we join forces with the UT Health School of Biomedical Informatics. The faculty and students of UT SBMI will bring you their current student projects along with a discussion with Drs. Susan Fenton and Amy Franklin. Light refreshments will be served.

Cost: $5

Susan Fenton, PhD, RHIA, FAHIMA, joined UTHealth School of Biomedical Informatics (SBMI) on June 1, 2013 as an assistant professor of biomedical informatics.  Fenton’s research interests include workforce development, data management, ICD-10 implementation and health care associated infections. Her interest in workforce development was limited to health IT professionals, but she sees a huge need to develop new methods for healthcare professionals to learn how to use information technology effectively. As for health care associated infections, Fenton has a new project working with an industrial engineer who identifies failure points that result in HAIs. After the failure points are identified, they will determine the impact of the failure points on EHRs and documentation.

 Amy Franklin, Ph.D. came to UTHealth School of Biomedical Informatics (SBMI) in 2009 after teaching in the Cognitive Science Department at Rice University. She is interested in how cognition and communication interact and impact each other and how this plays out in a medical context. This has led Franklin to studying decision making in the emergency department, the use of electronic health records and how people and computers interact in the health care field. She also focusses her research in patient safety, usability and communication. Franklin teaches courses in cognitive engineering, computer-supported collaborative work, research methods and information and knowledge representation.