Muge Capan

Headshot of Muge Capan

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 System and 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.

Selected Works

Articles

Agor, Joseph, Ozaltin, Osman, Ivy, Julie, Capan, Muge, Arnold, Ryan, and Romero, Santiago, The value of missing information in severity of illness score development. Journal of Biomedical Informatics 97 (Forthcoming)

Prints, Miranda, Fishbein, Daniela, Arnold, Ryan, Stander, Eric, Miller, Kristen, Kim, Tracy, and Capan, Muge, Understanding the perception of workload in the emergency department and its impact on medical decision making. The American Journal of Emergency Medicine (Forthcoming)

Jazayeri, Ali, Capan, Muge, Yang, Christopher C., Khoshnevisan, Farzaneh, Chi, Min, and Arnold, Ryan, Network-Based Modeling of Sepsis: Quantification and Evaluation of Simultaneity of Organ Dysfunctions. 10th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB) (Forthcoming)

Littlejohn, Robin, Schubel, Laura, Romero Barrientos, R, Arnold, Ryan, Capan, Muge, and Miller, Kristen, Everything but the Kitchen Sink: A Mixed Methods Approach to Health IT Usability Testing. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2019 (Forthcoming)

Li, Bin, Zhang, Shengfan, Hoover, Stephen, Arnold, Ryan, and Capan, Muge, Microsimulation Model Using Christiana Care Early Warning System (CEWS) to Evaluate Physiological Deterioration. IEEE Journal of Biomedical and Health Informatics (Forthcoming)

Li, Bin, Zhang, Shengfan, Hoover, Stephen, Arnold, Ryan, and Capan, Muge, Microsimulation Model Using Christiana Care Early Warning System (CEWS) to Evaluate Physiological Deterioration. IEEE Journal of Biomedical and Health Informatics (Forthcoming)

Capan, Muge, Hoover, Stephen, Ivy, Julie, Miller, Kristen, and Arnold, Ryan, Not all organ dysfunctions are created equal &#-775232; prevalence and mortality in sepsis. Journal of Critical Care (Forthcoming)

Capan, Muge, Microsimulation Model Using Christiana Care Early Warning System (CEWS) to Evaluate Physiological Deterioration. IEEE Journal of Biomedical and Health Informatics (Oct 2018):

Microsimulation Model Using Christiana Care Early Warning System (CEWS) to Evaluate Physiological Deterioration. IEEE Journal of Biomedical and Health Informatics (Sep 2018):

Capan, Muge, Microsimulation Model Using Christiana Care Early Warning System (CEWS) to Evaluate Physiological Deterioration. IEEE Journal of Biomedical and Health Informatics (Sep 2018):

Long, Davita, Capan, Muge, Mascioli, Susan, Mosby, Danielle, Arnold, Ryan, and Miller, Kristen, Evaluation of user interface alert displays for sepsis clinical decision support. Critical Care Nursing (Jul 2018):

Miller, Kristen, Capan, Muge, Mosby, Danielle, Noaiseh, Yaman, Kowalski, Rebecca, Schwartz, Sanford, Weintraub, William, and Arnold, Ryan, The design of decisions: matching clinical decision support recommendations to Nielsen&#-775232;s design heuristics. . International Journal of Medical Informatics (Jul 2018):

Capan, Muge, Mosby, Danielle, Miller, Kristen, Tao, Jun, Wu, Pan, Weintraub, William, Kowalski, Rebecca, and Arnold, Ryan, A Framework to Tackle Risk Identification and Presentation Challenges in Sepsis. American Journal of Hospital Medicine (Oct 2017):

Capan, Muge, Pigeon, Jessica, Marco, Deb, Powell, John, and Groner, Kate, We All Make Choices: A Decision Analysis Framework for Disposition Decision in the Emergency Department. The American Journal of Emergency Medicine (Aug 2017):

Capan, Muge, Khojandi, Anahita, Denton, Brian, Williams, Kimberly, Ayer, Turgay, Chhatwal, Jag, Kurt, Murat, Mason Lobo, Jennifer, Roberts, Marc, Zaric, G, Zhang, Shengfan, and Schwartz, Sanford, From Data to Improved Decisions: Operations Research in Healthcare. Medical Decision Making. Medical Decision Making (Feb 2017):

Capan, Muge, Hoover, Stephen, Jackson, Eric, Paul, David, and Locke, Robert, Time Series Analysis for Forecasting Hospital Census: Application to the Neonatal Intensive Care Unit. Applied Clinical Informatics (Sep 2016):

Capan, Muge, Wu, Pan, Campbell, Michele, Mascioli, Susan, and Jackson, Eric, Using Electronic Health Records and Nursing Assessment to Redesign Clinical Early Recognition Systems. Health Systems (Nov 2015):

Capan, Muge, Ivy, Julie, Wilson, James, and Huddleston, Jeanne, A stochastic model of acute-care decisions based on patient and provider heterogeneity. Health Care Management Science (Sep 2015):

Chapters

Capan, Muge, “Optimal Patient-centered Response to Acute Physiological Deterioration of Hospitalized Patients.” Women in Industrial and Systems Engineering: Key Advances and Perspectives on Emerging Topics, Switzerland: Springer International Publishing AG, (Forthcoming)

Grants

SEPSIS: Sepsis Early Prediction Support Implementation System (NSF Smart and Connected Health) $111,054 May 2018.

Visual Sepsis Risk Profiling Model (ACCEL Clinical and Translational Research (CTR) Pilot Grant Program) $80,000 Dec 2015.

Signaling Sepsis: Developing a Framework to Optimize Alert Design (NIH National Library of Medicine) $1,000,000 Sep 2016.

SEPTIC: Sepsis Evidence-based Presentation to Inform Clinical Decisions (ACCEL Clinical Translational Research (CTR) Shovel Ready Pilot Grant) $40,000 Jan 2017.

Presented Research

Ramzy, Mark, Capan, Muge, Sajadi-Ernazarova, K, Arnold, Ryan, and Ramoska, E, A Predictive Analytics Approach to Identify Indicators of Deterioration in Admitted Emergency Department Patients,

Capan, Muge, Jazayeri, Ali, Ivy, Julie, Miller, Kristen, and Arnold, Ryan, earning from Data Application of Healthcare Analytics to Predict & Prevent Sepsis, (Sep 2018):

Capan, Muge, Ivy, Julie, Huddleston, Jeanne, and Arnold, Ryan, Translating Prediction to Decision: A Framework to Tackle Risk Identification and Presentation Challenges in Sepsis, (Oct 2017):

Capan, Muge, Hoover, Stephen, Ivy, Julie, Huddleston, Jeanne, and Arnold, Ryan, Sepsis And Organ Failures: A Single Center Study of Prevalence And Mortality, (Oct 2017):

Capan, Muge, Kowalski, Rebecca, Miller, Kristen, Mosby, Danielle, and Arnold, Ryan, FUTURE: Forecasting the Unexpected Transfer to Upgraded REsources in Sepsis, 2017 INFORMS Annual Meeting: Houston, TX, (Oct 2017):

Capan, Muge, Natural, Nisha, Ivy, Julie, Wilson, James, Arnold, Ryan, and Huddleston, Jeanne, Personalizing Intervention Strategies for Multimorbid Patients with Sepsis, (May 2017):

Capan, Muge, 2017 IIE Annual Conference and Expo. Integrating Nurse Preferences and Organizational Priorities into Nurse Schedules &#-775232; Application to the Neonatal Intensive Care Unit. Capan M, Hoover S, Jackson EV, Paul D, Locke R. Pittsburgh, PA, May 2017., (May 2017):

Capan, Muge, Ivy, Julie, Huddleston, Jeanne, Chi, Min, Hoover, Stephen, and Arnold, Ryan, Sepsis Early Prediction Support Implementation System, (Apr 2017):

Capan, Muge, Ivy, Julie, Amor, Joseph, Goordarzi, Shadi, Miller, Kristen, Huddleston, Jeanne, and Arnold, Ryan, Using Advanced Analytics In Healthcare To Predict Sepsis Risk & Patient Outcome, (Apr 2017):

Proceedings

Nataraj, Nisha, Ivy, Julie, Huddleston, Jeanne, Arnold, Ryan, and Capan, Muge, What’s in a Definition? A Simulation Framework for Modeling Sepsis Interventions Using Electronic Health Records, Winter Simulation Conference 2018 Jun 2018. Proceedings of the Winter Simulation Conference 2018