Gentle reminder of INOVA visit next Friday. Details in original email below. -Amarda Amarda Shehu, PhD Professor of Computer Science, College of Engineering and Computing Associate Dean for AI Innovation, College of Engineering and Computing Director of Center of Excellence in Government Cybersecurity Risk Management and Resilience Associate Vice President of Research for the Institute for Digital InnovAtion (IDIA) George Mason University, 4400 University Drive, MS 4A5, Fairfax, VA, 22030 Phone: 703-993-4135 Email: amarda/AT/gmu.edu Research lab: cs.gmu.edu/~ashehu<http://www.cs.gmu.edu/~ashehu> ________________________________ From: Amarda Shehu <[log in to unmask]> Sent: Wednesday, October 18, 2023 3:25 PM To: [log in to unmask] <[log in to unmask]> Subject: Join us for an INOVA AI Partnership Opportunity (November 8th, Deans Conference Room) Dear all, we are hosting a team from INOVA on November 17th in the Deans Conference Room (Engr Building, 5th floor, Dean’s Suite), at 10am. We have the room booked for two hours. In the first hour we will focus on a specific project that the INOVA team is bringing to our attention as important to them. I am copying here a summary of the project: “Surgical patients who need perioperative blood transfusions need to have their blood type tested (i.e., type and screen test) pre-operatively to ensure that the appropriate blood is available. However, due to an abundance of caution, surgeons may order a type and screen even if there is a low probability that the patient will require a transfusion. This presents an opportunity to improve allocation of blood bank/ lab resources. There are many factors which affect the surgical patient’s need for transfusion, and analysis of this risk is difficult on a broad scale. While we have years of retrospective electronic health record (patient-level and surgery-level) data on transfusion practices, it has been challenging to develop a model that allows us to predict the need for type and screen. We are proposing development of a predictive model to guide a personalized risk assessment of the need for transfusion for each operation and consequently a recommendation for preoperative type and screen ordering. The goal would be to integrate this model into the electronic health record at the point of care and to provide a deeper understanding into what is driving each risk assessment.” In the second hour we will explore more broadly INOVA AI partnership opportunities. An alumnus of Mason is now part of this team. The entire time will be engaging, with questions and answers. Please consider coming and engaging with them. To make it more convenient, I have attached a calendar invite to this email. -Amarda Amarda Shehu, PhD Professor of Computer Science, College of Engineering and Computing Associate Dean for AI Innovation, College of Engineering and Computing Director of Center of Excellence in Government Cybersecurity Risk Management and Resilience Associate Vice President of Research for the Institute for Digital InnovAtion (IDIA) George Mason University, 4400 University Drive, MS 4A5, Fairfax, VA, 22030 Phone: 703-993-4135 Email: amarda/AT/gmu.edu Research lab: cs.gmu.edu/~ashehu<http://www.cs.gmu.edu/~ashehu>