An Automated Staff Roster Planning System (SRPS) For Healthcare Industry

This paper proposed an automated staff roster planning system (SRPS) for the healthcare sector with the objective to revolutionize the existing approach of manual staff roster planning by significantly reducing the number of man-hours used in the process of planning and minimizing the possibility of human error involved in the process. SRPS leverages on its subsystems, the staff training record management system (TRMS) and the leave projection system (LPS) to retrieve and process the competency and availability of staff that are recorded earlier. It generates the feasible staff roster based on the existing available staff, their skillsets and the required skillsets of the workstations. SRPS also takes soft constraints into consideration during the staff to workstation allocation process. The key functionalities of the system are automated staff roster generation, pattern scheduling, constraint scheduling, Gale Shapley matching algorithm, drag and drop roster editing, interactive workstation compatibility feedback and on click export. Evaluation of SRPS shows improvement in terms of time efficiency and allocation optimization.