UCL School of Management

Mecit Can Emre Simsekler

Honorary Research Associate
Elsewhere
mcesimsekler

Biography

Dr. Mecit Can Emre Simsekler is an Assistant Professor at the Department of Industrial & Systems Engineering at Khalifa University of Science & Technology, Abu Dhabi; and an Honorary Research Associate at the University College London (UCL) School of Management, London. In addition, he is a Visiting Scholar at Boston Children’s Hospital (Teaching Hospital of Harvard Medical School), and Cleveland Clinic Abu Dhabi.

Dr. Simsekler obtained his Ph.D. from the University of Cambridge in 2015. During his PhD, he was a visiting researcher in the Center for Medical Innovation System at the University of Tokyo in Summer 2012, and in the Center for Patient Safety and Quality Research at Boston Children’s Hospital in Summer 2014. After completing his PhD, he worked as a Research Associate at the UCL School of Management between 2015 and 2016.

Research

Dr. Simsekler’s research focuses on healthcare operations and system design for patient safety, quality and efficiency. Leveraging principles from operations management and systems thinking, he explores proactive approaches for managing operational failures and safety risks to drive transformational system innovation and improvement. He has served as investigator or co-investigator on several research grants (total value over $1.6M) to improve healthcare operations and supply chain through various tools and methods, such as lean, blockchain and machine learning.

He is the founder and director of the Healthcare Analytics and Management Initiative (HAMI), which is a platform exploring innovative approaches to enhance the value of healthcare delivery. Dr. Simsekler is also a member of the Institute for Operations Research and Management Science (INFORMS), Manufacturing and Service Operations Management (MSOM), Institute of Industrial and Systems Engineers (IISE) and European Operations Management Association (EUROMA).

Selected publications
Simsekler, M. C. E., Gurses, A. P., Smith, B. E., & Ozonoff, A. (2019). Integration of multiple methods in identifying patient safety risks. Safety Science. doi:10.1016/j.ssci.2019.05.057 [link]
Simsekler, M. C. E., Ward, J. R., & Clarkson, P. J. (2018). Design for patient safety: a systems-based risk identification framework. ERGONOMICS, 61 (8), 1046-1064. doi:10.1080/00140139.2018.1437224 [link]
Simsekler, M. C. E., Ward, J. R., & Clarkson, P. J. (2018). Evaluation of system mapping approaches in identifying patient safety risks. INTERNATIONAL JOURNAL FOR QUALITY IN HEALTH CARE, 30 (3), 227-233. doi:10.1093/intqhc/mzx176 [link]
Simsekler, M. C. E., Card, A. J., Ruggeri, K., Ward, J. R., & Clarkson, P. J. (2015). A comparison of the methods used to support risk identification for patient safety in one UK NHS foundation trust. Clinical Risk. doi:10.1177/1356262215580224 [link]
Yetisen, A. K., Martinez-Hurtado, J. L., Vasconcellos, F. D. C., Simsekler, M. C. E., Akram, M. S., & Lowe, C. R. (2014). The regulation of mobile medical applications. LAB ON A CHIP, 14 (5), 833-840. doi:10.1039/c3lc51235e [link]
Card, A. J., Simsekler, M. C. E., Clark, M., Ward, J. R., & Clarkson, P. J. (2014). Use of the Generating Options for Active Risk Control (GO-ARC) Technique can lead to more robust risk control options. International Journal of Risk & Safety in Medicine, 26, 199-211. doi:10.3233/JRS-140636 [link]