A Particle Swarm Optimization Approach for Physician Scheduling in a Hospital Emergency Department
A proper planning of physicians work schedule in an emergency room is an important and complicated task for hospital administrators. In this paper, a Particle Swarm Optimization (PSO)-based intelligent work scheduling system is proposed to help solve the physicians work scheduling problem in a hospital emergency department In this proposed system, a PSO meta-heuristic method is used to search for the most appropriate shift assignment for physicians working in an emergency room. The effectiveness of the proposed system is verified by implementing it in a hospital in Northeast Taiwan. The results from the implementation confirm that the proposed system is suitable for solving the physicians work scheduling problem in emergency departments. In addition, we also conclude that PSO is an efficient approach for intelligent physicians work scheduling when timeconsuming what-if analysis is needed.
particle swarm optimization intelligent physician scheduling emergency department physician on duty
Chih-Chung Lo Tung-Han Lin
Department of Applied Informatics Fo Guang University Yilan, Taiwan
国际会议
2011 Seventh International Conference on Natural Computation(第七届自然计算国际会议 ICNC 2011)
上海
英文
1955-1959
2011-07-26（万方平台首次上网日期，不代表论文的发表时间）