|M.Sc Student||Natalia Kot|
|Subject||Examination of Parameters for Facility Management of Clinics|
|Department||Department of Civil and Environmental Engineering||Supervisor||Mr. Shohet Igal|
The facilities available to the community healthcare system create the capability to provide medical services and have a significant effect on the quality of service provided. The investment in the development of the existing portfolio of clinics facilities, as well as in their maintenance and operation, constitutes 3-4% of the annual budgets of the various sick funds.
The hypotheses of the study were defined as follows:
1. Using Key Performance Indicators (KPI's) based on performance and Life Cycle Costs (LCC) principles, the maintenance and performance of clinics can be systematically monitored with a high degree of accuracy and reliability;
2. Implementation by clinics of the above-mentioned principles can contribute to a savings in their maintenance and to improved performance.
Pursuant to the above hypotheses the following research objectives were formulated: To develop KPI's for the maintenance, performance, and resource allocation of clinics based on a database of LCC, to implement the performance indicators developed in the execution of a preventive and repair maintenance policy for clinics; and to measure the maintenance and performance of clinics following the implementation of the method in order to validate the research hypotheses. The research method used LCC analysis of clinics, development of KPI's for clinics field survey, and analysis of KPI's. The field survey encompassed 47 clinics with a wide geographical dispersion. The KPI's developed in this research include: Building Performance Indicator (BPI) (adapted for clinics), Annual Maintenance Expenditure (AME), Normalized Annual Maintenance Expenditure (NAME), Occupancy Coefficient (OC), Age Coefficient (ACy), Maintenance Efficiency Indicator (MEI), Maintenance Sources Diagram (MSD), and Managerial Span of Control (MSC).
The research findings depict that the physical-functional state of the clinics facilities in this survey is at good and higher performance level. Nevertheless, comparison of the performance of the facilities in the seven different districts included in the survey figured out large variance among the districts. The efficiency of maintenance activities was analyzed using the MEI, figured out redundancy of 30% in the amount of resources. The findings of the clinics occupancy coefficient depict that the majority of clinics surveyed are exposed to intensive deterioration regime that affects the performance of the interior finishes, and the electro-mechanical systems. The effect of the size of the clinics on the Annual Maintenance Expenditure (AME) was studied; it was found that the AME increases as the size of the facility decreases.