Late Acceptance Hill Climbing Algorithm For Solving Patient Facing Problems In Hospitals

The current study is to evaluate the patient facing problems by applying Late Acceptance Hill Climbing Algorithm (LAHC) in hospital settings. The recent proposed procedure of LAHC is based on metaheuristic algorithm which is linked with one-point clarification method. Patient's satisfaction regarding the performance of the hospital is a composite mechanism. The optimization procedure is connected with NP-hard problems which is practically related to the problems faced by patients. These problems are concerned with assigning the group of patients visiting the hospital for receiving healthcare services. The common issues faced by patients include communication gap, response time to attend patients, early symptomatic relief, getting proper advice for dosage and usage of medicines, clean hospital environment. Moreover, patient education and guidance before discharge from hospital is also the missing element. The suggested algorithm of LAHC to PFP is developed and it has two phases: the first phase includes providing the initial feasible solution using communication-oriented methodology. The second phase uses three neighborhood framework which are implanted inside the segment of PFP based on LAHC to additionally upgrade the underlying feasible solution of the introductory phase.