BACKGROUND: Some healthcare managers use computer simulation to assist with staffing. As staffing actions are usually slow to evolve and long term in nature, computer simulation can provide the opportunity to evaluate different alternatives at substantially lower costs with fewer risks. OBJECTIVE: Using computer simulation, this paper seeks to determine the optimal number and allocation of clerks involved in the patient registration process of a hospital. METHODS: This paper is based on a case study conducted in a hospital and uses historical data provided by the hospital in simulating the patient registration process. RESULTS: The simulation results indicate that computer simulation can be an effective decision supporting tool in modeling the patient registration process and evaluating the effects of changes in the number and allocation of clerks in the process. CONCLUSIONS: Based upon a case study applying real-world data, the results of this paper would be beneficial to those who consider utilizing computer simulation for staffing decisions.
BACKGROUND: Some healthcare managers use computer simulation to assist with staffing. As staffing actions are usually slow to evolve and long term in nature, computer simulation can provide the opportunity to evaluate different alternatives at substantially lower costs with fewer risks. OBJECTIVE: Using computer simulation, this paper seeks to determine the optimal number and allocation of clerks involved in the patient registration process of a hospital. METHODS: This paper is based on a case study conducted in a hospital and uses historical data provided by the hospital in simulating the patient registration process. RESULTS: The simulation results indicate that computer simulation can be an effective decision supporting tool in modeling the patient registration process and evaluating the effects of changes in the number and allocation of clerks in the process. CONCLUSIONS: Based upon a case study applying real-world data, the results of this paper would be beneficial to those who consider utilizing computer simulation for staffing decisions.