Patient flow based allocation of hospital resources.
The current practice of allocating resources within a hospital introduces peaks and troughs in the workloads of departments and leads therefore to loss of capacity. This happens when requirements for capacity coordination are not adequately taken into account in the decision making process of allocating resources to specialties. The first part of this research involved an analysis of the hospital's production system on dependencies between resources, resulting in a number of capacity coordination requirements that need to be fulfilled for optimized resource utilization. The second, modelling, part of the study involved the development of a framework for resource management decision making, of a set of computer models to support hospital managerial decision making on resource allocation issues in various parts of the hospital, and of an implementation strategy for the application of the models to concrete hospital settings. The third part of the study was devoted to a number of case-studies, illustrating the use of the models when applied in various resource management projects, such as a reorganization of an operating theatre timetable, or the development of a master plan for activities of a group of general surgeons serving two locations of a merged hospital system. The paper summarizes the main findings of the study and concludes with a discussion of results obtained with the new allocation procedure and with recommendations for future research.
Vissers
J M
JM
Graduate School of Industrial Engineering and Management Science, Eindhoven University of Technology, The Netherlands.
D001509:Bed Occupancy / Q000706:statistics & numerical data; D019090:Case Management; D003198:Computer Simulation; D003660:Decision Support Systems, Management; D003661:Decision Support Techniques; D017598:Efficiency, Organizational; D015276:Health Care Rationing; D006752:Hospital Planning / Q000191:economics*; D006801:Humans; D008433:Mathematics; D009426:Netherlands; D010343:Patient Admission / Q000706:statistics & numerical data; D010351:Patient Discharge / Q000706:statistics & numerical data; D016526:Workload