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dr.ir. A. Braaksma (Aleida)

Assistant Professor

About Me

Aleida Braaksma received her M.Sc. degree in Applied Mathematics from the University of Twente (UT) in 2010. Her master thesis project, for which she received multiple thesis awards, marked the start of her career in healthcare operations research. In 2015, she received the Ph.D. degree for the dissertation ‘Timely and Efficient planning of TReatments through Intelligent Scheduling’. She performed her Ph.D. project at CHOIR (Center for Healthcare Operations Improvement and Research, UT) and the Academic Medical Center (AMC) Amsterdam. Subsequently, Aleida spent two years working as a postdoctoral fellow in healthcare operations research at Massachusetts Institute of Technology (MIT) and Massachusetts General Hospital (MGH) in Boston, United States. Currently, she is an assistant professor at the Stochastic Operations Research group of the UT and within CHOIR. Her research interests are in planning and scheduling in healthcare with a specific focus on decision making under uncertainty.

Expertise

Planning
Nurses
Inpatients
Appointments And Schedules
Nursing
Rehabilitation
Hospital Beds
Patient Rehabilitation

Publications

Recent Articles
Braaksma, A., Kortbeek, N., Smid, K., & Sprengers, M. E. S. (2017). A reusable simulation model to evaluate the effects of walk-in for diagnostic examinations. Simulation Modelling Practice and Theory, 77, 317-337. [10.1016/j.simpat.2017.07.004]. DOI: 10.1016/j.simpat.2017.07.004
Kortbeek, N., Braaksma, A., Burger, C. A. J., Bakker, P. J. M., & Boucherie, R. J. (2015). Flexible nurse staffing based on hourly bed census predictions. International journal of production economics, 161, 167-180. DOI: 10.1016/j.ijpe.2014.12.007
Braaksma, A. (2015). Timely and efficient planning of treatments through intelligent scheduling Enschede: Centre for Telematics and Information Technology (CTIT) DOI: 10.3990/1.9789036539302
van Oostveen, C. J., Braaksma, A., & Vermeulen, H. (2014). Developing and testing a computerized decision support system for nurse-to-patient assignment: A multimethod study. CIN : computers, informatics, nursing, 32(6), 276-285. DOI: 10.1097/CIN.0000000000000056

UT Research Information System

Contact Details

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics & Computer Science
Zilverling (building no. 11), room 4013
Hallenweg 19
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics & Computer Science
Zilverling  4013
P.O. Box 217
7500 AE Enschede
The Netherlands