Muge Capan, Ph.D

Muge Capan, Ph.D., is an Associate Clinical Professor of Decision Sciences and Management Information Systems at LeBow College of Business at Drexel University. She has received her Ph.D. in Industrial and Systems Engineering with a minor in Operations Research from North Carolina State University. She has expertise in data science, industrial engineering, and predictive analytics applied in health care systems to support better informed decision making.

Dr. Capan’s current research projects include development and implementation of analytical models for clinical risk stratification, smart and connected clinical decision support systems, algorithms for phenotyping and personalization of diagnosis and treatment, and network models in care delivery. Her areas of expertise include decision analytical modeling with applications to decision making under uncertainty, business analytics, decision support systems and stochastic models in health care.

Dr. Capan has served as a Primary Investigator (PI) on several federal grants. She is currently the PI on a multi-institutional National Science Foundation grant entitled SEPSIS: Sepsis Early Prediction Support Implementation Systemand serves as a Co-Investigator on an RO1 NIH National Library of Medicine grant entitled Signaling Sepsis: Developing a Framework to Optimize Alert Design. Both grants are focusing on sepsis identification and management by integrating industrial engineering and computer science in patient care and advancing the scientific knowledge to predict and prevent sepsis-induced health deterioration.

She is a member of INFORMS and Society of Medical Decision Making (SMDM), and serves as a reviewer for top journals, such as IIE Transactions on Health Systems Engineering and Applied Clinical Informatics. She published over 25 peer-reviewed studies in leading journals, one book chapter, over 40 conference proceedings, oral and poster presentations. In addition, she is passionate about mentoring undergraduate and graduate students in academic research. Since 2015, she has mentored 34 students and is currently leading her applied health care analytics and decision sciences research group including a multi-disciplinary group of faculty and students at Drexel University.

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Events Featuring the Speaker
Emerging technologies are making it possible to continuously monitor patients’ mental wellness, but doing so can bring more questions than answers. In this session, executives at growing tech startups, established health insurers, and healthcare researchers will share lessons learned in...