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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

Hospital Beds
Census
Planning
Prediction
Nursing
Inpatients
Nurses
Simulation Model
Staffing
Rehabilitation
Nurses
Resources
Schedule
Diagnostics
Theaters
Capacity Planning
Integral
Walk
Evaluate
Therapeutics

Publications

Recent
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. 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
Kortbeek, N., Braaksma, A., Smeenk, F. H. F., Bakker, P. J. M., & Boucherie, R. J. (2015). Integral resource capacity planning for inpatient care services based on bed census predictions by hour. Journal of the Operational Research Society, 66(7), 1061-1076. DOI: 10.1057/jors.2014.67
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