An appointment scheduliing in phsiotheraphy center and decision support system
2022
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Advisor: Prof. Dr. Berna Dengiz
Abstract (EN)
Rapid population growth and accompanying health problems, and the increase in demands for health institutions and organizations cause too much patient density. For this reason, creating safe environments in health institutions and providing the best service can be achieved with good planning and sustainability of the implementation of this planning. In recent years, organizations that provide health care services (health care providers) have been working to provide better service to more patients by using a lean health care approach, similar to their production systems. Lean health approach means eliminating activities that do not add value. Therefore, improvements in management and operation are needed to identify and reduce non-value adding activities. In our country, where the working population and the elderly population are increasing, diseases that require physical therapy are also increasing naturally. BecauseThe demand for physiotherapy units is increasing, and problems arise in management and functioning in such enterprises where industrial engineering approaches are not used. In this thesis, a Decision Support System (DDS) was developed, which will work with a lean understanding in health, where the patient and cost losses due to the appointment scheduling problem in the system are minimized (eliminated) by considering a physical therapy center serving in Istanbul. A mathematical model has been established and a data infrastructure has been established, taking into account the current capacity, strategic and special constraints of the enterprise, and the regulations of the Health Security System (SGK) according to the patient movement that solves the problem (newly applying to the physiotherapy center and leaving (the treatment is finished or the treatment is discontinued)) . Thus, in order to provide lean health services, the most appropriate appointment and treatment plans with the highest daily patient rate will be created.
Author
Dr. Elif Altınbaş
Institution
How to Cite
Elif Altınbaş (Master Thesis). An appointment scheduliing in phsiotheraphy center and decision support system, 2022, Başkent University.
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