Optimal Logistic Design of Multidisciplinary Care Pathways
In this project, we investigate how the capacity planning and control in a multidisciplinary care pathway should be organized, such that timely treatment for all patients can be ensured while an efficient care pathway is maintained. In order to do this, we address and integrate decision-making on the strategic, tactical and operational levels, using queueing theory, scheduling methods, Markov decision theory and computer simulation. Projects will be carried out in a.o. radiotherapy care (case study in Academic Medical Center Amsterdam) and rehabilitation care (case study in Sint Maartenskliniek Nijmegen).
Optimization of acute health care processes
This research focuses on the modelling and optimization of (acute) healthcare processes. Herein mathematical and simulation models are used to develop both planning and control approaches, and ensure timely and appropriate care for both elective and urgent patients. Examples include the optimization of an integrated emergency post using computer simulation, and the (tactical) appointment scheduling of diagnostics, incorporating both scheduled and unscheduled arrivals.
Sem van Brummelen
Waiting time and personnel capacity optimization at Sanquin
This research focuses on planning and scheduling of a given demand of elective patients within a fixed period of time taking into account the uncertainty of the durations of the individual treatments, the dependency of consecutive treatments of a single patient, the limitations given by scare resources, and the uncertainty around emergency patients arriving in the future.
Rapid diagnostics for cancer
Access time to diagnosis and treatment varies strongly between different types of cancer. Rapid diagnostics is only realized for large patient groups like breast-cancer patients, typically by dedicating capacity to these patients, at the expense of access for other cancer patients. This study aims to develop new planning and control approaches to optimize the organization of multiple shared resources involved, so that access to diagnostics and treatment is equally divided and optimized over all patient types. We analyze and validate these through mathematical modelling and simulation.
Joost van Sambeeck
BloodMatch Supply: Optimizing inventory of red blood cells by development of a comprehensive blood supply management model
Alloimmunizion, the formation of antibodies against minor RBC blood groups antigen, is the most frequent adverse event after red blood cell transfusion. While completely matched donor blood would prevent alloimmunization, this is practically impossible. The aim of this research is to develop a blood supply management model that enables calculation of the subset and number of typed donors needed to guarantee a sufficient and most cost-effective supply of typed red blood cells for patients groups that are at risk for developing blood group antibodies.
Logistical Optimization of the Radiotherapy Treatment Chain
The logistics of radiotherapy treatments is complex for two main reasons: 1) many steps occur between first arrival of the patient at the hospital and the actual treatment of the patient, including CT-imaging, tumor delineation and treatment planning and 2) both fluctuations in the inflow of new patients and large variability in the care content occur. In radiotherapy, delays in the start of treatment can negatively affect the patient’s outcome. Therefore, efficiently managing patient flows and resources in radiotherapy is both important and challenging. This project aims to apply operations research methods to optimize and control these processes.
Maartje van de Vrugt
Appointment scheduling in health care
This research focuses on the optimization of healthcare processes with mathematical methods. The output consists of decision support tools, (mathematical) models and techniques that capture the inherent complexity of healthcare processes, and aid users to analyze the relation between system configurations, optimized and robust system planning and control, and system performance.
Optimization of home healthcare services
The effective utilization of resources is vital to home care services. The objective of this research is to come up with decision making approaches in order to optimize the home healthcare services. This research focuses on designing optimization models to solve the home healthcare problems like: staffing and shift scheduling, emergency service efficiency. Special example includes the routing and scheduling problem of home healthcare services with stochastic emergency demand.