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A forecasting model of multidisciplinary rehabilitation therapy demand

Mulder, A.L. (2016) A forecasting model of multidisciplinary rehabilitation therapy demand.

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Abstract:During the context analysis performed at the SIR care unit in the SMK, it became clear that therapist capacity is determined long before execution of the care process while it is not clear what the demand for care is for the coming period. As a result, it is difficult to balance the deployment of therapists with the demand for care, which is essential for providing patients with the treatments that they need and for using resources efficiently. Before deciding about the number of therapists to deploy or the number of patients to admit, a demand forecast is needed. Therefore, a model to forecast the demand for care from inpatients is developed based on the working of a forecasting model of Vanberkel et al. (2011). The demand for care is forecasted based on the care pathways of patients currently in treatment and based on a forecast of the care pathways of yet to arrive patients. This results in a forecast of the probability distribution of the inpatient demand for care in hours per week per discipline. A quantitative validation of the forecasting model can be performed when data registration of the care pathways and treatment plans is improved.
Item Type:Essay (Master)
Clients:
Sint Maartenskliniek, Ubbergen, Netherlands
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:85 business administration, organizational science
Programme:Industrial Engineering and Management MSc (60029)
Link to this item:https://purl.utwente.nl/essays/70839
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