IIT Faculty Candidate Seminar Sponsored by Department of Integrated Information Technology Martin Stytz Chief Research & Technology Officer Calculated Insight Abstract: Healthcare decision-support is a new, crucial, vibrant area of research motivated by the rapid pace of advances in medical information technology and the vast amount of data that a healthcare provider will have to comprehend and prioritize when technology allows a complete patient medical record to be made available. We believe that the amount of data that the healthcare provider will confront will be overwhelming. In a large-scale medical data environment, preventing data overload and protecting the integrity of the data will be important. Clearly, the healthcare provider requires decision-support tools that will aid in retrieving, identifying, displaying, and analyzing the relevant medical data. Our goal is to develop simulation technologies that can be used to build advanced medical decision-support tools that can exploit the large-scale amounts of medical data that will be available. However, as noted the data must be trustworthy. A cyber-attack upon medical data can disrupt information, sow confusion, thwart situational awareness, increase decision time, and delay reaction to events. Because of the seriousness of the consequences of a cyber-attack, we contend that medical decision-makers must be prepared to operate within environments where information is compromised. A safe method for preparing for the cyber-attacks is to acclimate medical decision-makers to information compromised environments using simulation systems. The cyber-attack simulation environments can cause the information uncertainty and confusion that cyber-attacks produce. These same cyber simulation environments can be used to develop intelligent cyber defense systems that react to preserve the medical information environment. Additionally, the cyber-attack simulation environment can be used to develop and test cyber defense strategies and technologies. In the talk, we will discuss simulation to improve healthcare delivery through the development of better decision-support tools and the use of simulation to improve cyber security, and medical infrastructure cyber resilience. Biography: Dr. Martin Stytz received his PhD form University of Michigan in 1989. His research interests encompass secure systems, secure software development, cybersecurity, high-confidence data analysis, and cyber situational awareness.. Dr. Stytz has published 28 journal articles, over 300 technical articles and holds two patents. Dr. Stytz has conducted $12.8 Million ($8 Million as PI) in research for the US Government.