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

  • Nursing and Health Professions

    • Patient
    • Time
    • University Hospital
    • Hospital
    • Outpatient Department
  • Computer Science

    • Models
    • Capacity Planning
    • Service

Organisations

Publications

2024

Optimisation of medication reconciliation using queueing theory: A computer experiment (2024)International Journal of Clinical Pharmacy, 46, 881-888. Kruik-Kollöffel, W. J., Moltman, G. A. W., Wu, M. D., Braaksma, A., Karapinar, F. & Boucherie, R. J.https://doi.org/10.1007/s11096-024-01722-0Constrained Markov decision processes for response-adaptive procedures in clinical trials with binary outcomes (2024)[Working paper › Preprint]. ArXiv.org. Baas, S., Braaksma, A. & Boucherie, R. J.https://doi.org/10.48550/arXiv.2401.15694

2023

Evaluation and implementation of a Just-In-Time bed-assignment strategy to reduce wait times for surgical inpatients (2023)Health care management science, 26(3), 501-515. Braaksma, A., Copenhaver, M. S., Zenteno, A. C., Ugarph, E., Levi, R., Daily, B. J., Orcutt, B., Turcotte, K. M. & Dunn, P. F.https://doi.org/10.1007/s10729-023-09638-3A Sampling-Based Method for Gittins Index Approximation (2023)[Working paper › Working paper]. ArXiv.org. Baas, S., Boucherie, R. J. & Braaksma, A.https://doi.org/10.48550/arXiv.2307.11713Dynamic fair balancing of COVID-19 patients over hospitals based on forecasts of bed occupancy (2023)Omega, 116, 1-21. Article 102801. Dijkstra, S., Baas, S., Braaksma, A. & Boucherie, R. J.https://doi.org/10.1016/j.omega.2022.102801Appointment scheduling for medical diagnostic centers considering time-sensitive pharmaceuticals:: A dynamic robust optimization approach (2023)European journal of operational research, 305(3), 1018-1031. Namakshenas, M., Mahdavi Mazdeh, M., Braaksma, A. & Heydari, M.https://doi.org/10.1016/j.ejor.2022.06.037

2021

Operations Research: Introduction to Models and Methods (2021)[Book/Report › Book]. World Scientific Press. Boucherie, R. J., Braaksma, A. & Tijms, H.https://doi.org/10.1142/12343Making an Impact on Healthcare Logistics (2021)In Handbook of Healthcare Logistics: Bridging the Gap between Theory and Practice (pp. 1-13) (International Series in Operations Research & Management Science; Vol. 302). Springer. Zonderland, M. E., Leeftink, G., Braaksma, A., Boucherie, R., Hans, E. W. & Kortbeek, N.https://doi.org/10.1007/978-3-030-60212-3_1Real-time forecasting of COVID-19 bed occupancy in wards and Intensive Care Units (2021)Health care management science, 24(2), 402-419. Baas, S., Dijkstra, S., Braaksma, A., van Rooij, P., Snijders, F. J., Tiemessen, L. & Boucherie, R.https://doi.org/10.1007/s10729-021-09553-5

Research profiles

Address

University of Twente

Zilverling (building no. 11), room 4013
Hallenweg 19
7522 NH Enschede
Netherlands

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