Decision support system for medical equipment failura analysis / Amira Mahmoud Mohamed Osman ; Supervised Ayman Mohamed Eldeib , Walid Ibrahim Alatabany

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering

Medical equipment management raises a range of complex problems including those associated with maintenance process. In developing countries, hospitals rarely implement a coherent management plan in medical equipment management. One of the most significant challenges is to distinguish medical equipment that requires repair from those require replacement. A multi-criteria decision-making model, Analytic Hierarchy Process (AHP), is presented to select an optimum maintenance strategy. A set of criteria is employed to calculate a criticality score for each piece of equipment.Therefore, a list of equipment is ranked based on their scores and an optimum threshold is selected to differentiate between maintenance and replacement requirement. Fifty different types of medical equipment located in multiple public hospitals have been used in the validation of the proposed model. Results show that the proposed model can efficiently differentiate the equipment that requires repair and the others that needs to be scrapped

Issued also as CD