Tactical planning of resources in hospitals concerns elective patient admission planning and the intermediate term allocation of resource capacities. Its main objectives are to achieve equitable access for patients, to meet production targets/to serve the strategically agreed number of patients, and to use resources efficiently. This paper proposes a method to develop a tactical resource allocation and elective patient admission plan. These tactical plans allocate available resources to various care pathways and determine the selection of patients to be served that are at a particular stage of their care pathways. Our method is developed in a Mixed Integer Linear Programming framework and copes with multiple resources, multiple time periods and multiple patient groups with various uncertain care pathways, thereby integrating decision making for a chain of hospital resources. Computational results indicate that our method leads to a more equitable distribution of resources and provides control of patient access times, the number of patients served and the faction of allocated resource capacity. Our approach is generic, as the base MIP and the solution approach allow for including various extensions to both the objective criteria and the constraints. Consequently, the proposed method is applicable in various settings of tactical hospital management.
|Place of Publication||Enschede|
|Publisher||University of Twente, Department of Applied Mathematics|
|Number of pages||18|
|Publication status||Published - Jul 2011|
|Name||Memorandum / Department of Applied Mathematics|
|Publisher||Department of Applied Mathematics, University of Twente|
- Tactical planning
- Care pathways
- Resource capacity planning
- Patient admission planning
- Mixed Integer Linear Programming (MIP)
Hulshof, P. J. H., Boucherie, R. J., Hans, E. W., & Hurink, J. L. (2011). Tactical resource allocation and elective patient admission planning in care pathways. (Memorandum / Department of Applied Mathematics; No. 1947). Enschede: University of Twente, Department of Applied Mathematics.