V.K.Manupati, G.Mourya Teja, Zakir Hussain S K, Y.Sandeep and A.Akhil Varma

In this paper we have considered a Patient Admission scheduling problem for reducing the patients waiting time by improving the resources effectively. Recently, appointment scheduling systems in health care services are at most important to respond to an ever increasing demand for care.its utilization is focused on enhancing the usage of human resources, medical equipment and reducing the patient waiting time. We have carried out a case on patient admission scheduling problem in radiology department. A mathematical model has been developed as a linear programming model to optimally solve this problem. The proposed model is hard to solve with traditional methods due to its computational complexity, to achieve the optimal solutions in a reasonable time an evolutionary algorithm based multi-objective Non dominated sorting genetic algorithm is adopted. With the data collected from the daily observations the experimentation has been conducted the obtained results showed average reductions of 7% of the total completion and 34% on the patients total waiting time .

Patient admission scheduling, appointment scheduling systems, Non dominated sorting genetic algorithm,patient waiting time.