TY - GEN
T1 - Resident Scheduling in Teaching Hospitals
AU - Kraul, Sebastian
PY - 2023
Y1 - 2023
N2 - After graduation, physicians receive further training in a medical domain like anesthesiology. There are 57 medical specialties in Germany in total. The high cost pressures of hospitals and the changing view of the medical profession regarding the work-life balance have led to recruitment problems and low employee satisfaction in many places. A promising approach to counter this problem is objective and structured training planning. This research project mainly deals with medical residents’ strategic and tactical-operative training scheduling. In addition to relieving the medical staff currently responsible for the planning process, this research project increases the predictability of structured training. This allows hospitals to increase the quality of their training and, consequently, their attractiveness to other hospitals. In addition, supervisors from different departments can better assess residents’ knowledge and thus keep the level of service, which is particularly important in hospitals, permanently high even when changing residents. From the residents’ point of view, a well-structured training schedule enables a high degree of information. Therefore, residents are no longer surprised by a short-term change of department and have a direct insight into their training progress. A real-world case study evaluates the mathematical formulations and the solution approaches.
AB - After graduation, physicians receive further training in a medical domain like anesthesiology. There are 57 medical specialties in Germany in total. The high cost pressures of hospitals and the changing view of the medical profession regarding the work-life balance have led to recruitment problems and low employee satisfaction in many places. A promising approach to counter this problem is objective and structured training planning. This research project mainly deals with medical residents’ strategic and tactical-operative training scheduling. In addition to relieving the medical staff currently responsible for the planning process, this research project increases the predictability of structured training. This allows hospitals to increase the quality of their training and, consequently, their attractiveness to other hospitals. In addition, supervisors from different departments can better assess residents’ knowledge and thus keep the level of service, which is particularly important in hospitals, permanently high even when changing residents. From the residents’ point of view, a well-structured training schedule enables a high degree of information. Therefore, residents are no longer surprised by a short-term change of department and have a direct insight into their training progress. A real-world case study evaluates the mathematical formulations and the solution approaches.
KW - OR in health services
KW - Mixed integer programming
KW - Real-world application
KW - Stochastic optimization
U2 - 10.1007/978-3-031-24907-5_5
DO - 10.1007/978-3-031-24907-5_5
M3 - Conference contribution
SN - 9783031249068
T3 - Lecture Notes in Operations Research
SP - 35
EP - 41
BT - Operations Research Proceedings 2022
A2 - Grothe, Oliver
A2 - Nickel, Stefan
A2 - Rebennack, Steffen
A2 - Stein, Oliver
PB - Springer
CY - Cham
ER -