Muge Capan

Selected Works

Articles

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

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