DEVELOPMENT OF A MATHEMATICAL MODEL FOR OPTIMAL SCHEDULING OF PATIENTS AND RESOURCE MANAGEMENT IN HEALTHCARE IN PALESTINE DURING THE PANDEMIC
جامعة النجاح الوطنية
The resource planning for hospitals has attained a huge attention by researchers in the last few decades, but the effect of human aspects in design and managing it has been ignored. In this research, we integrate physicians’ differences to examine their effect on patient waiting time and so on patient satisfaction. More specifically, a more realistic mixed integer linear programming model is proposed to deal efficiently with determining the maximum number of patients living with different types of clinical complications and is likely to contribute to determining the requirement of physicians and making arrangement for them. Considering different levels of physicians and different types of departments, the model aims to facilitate the health-care organizations in analyzing their physicians for delivering high-quality care services. In addition, it aims to derive an assignment between immunity, skills, and the experience as well as an optimal selection of physicians. A non-dominated sorting genetic algorithm II (NSGS-II) is conducted to confirm the verification of the proposed model and carries out human resource planning in hospitals on the basis of these factors. The results of conducting sensitivity analysis demonstrated that, after considering classification of patients and physicians’ issues cause a significant improvement in the efficiency of hospitals in the future. Moreover, the number of physicians for each department varies with different patient types, so the allocation of medical specialists across the hospital requires information regarding demands, such as the classification of patients, and the rates of morbidity within the health-care sector. The health-care organizations associated with the public domain require efficient allocation of the clinical specialist. Also, the assignments vary with different physicians’ classifications.