complex systemhealthcare operations researchdecision support systemagent-based simulationmodeling and simulation
1. Agent-Based Model and Simulation of Emergency Department
My thesis in progressing is about simulating based decision support system for healthcare system management. More specifically, simulate the Emergency Department(ED) by using agent based technique and make it work as a part of decision support system. Up to now, I have finished the modeling work and written three full-reviewed conference papers(SIMUL 2014, published; ICCS2015, accepted; WSC2015 submitted). Since ED is a typical complex system, agent-based simulation technique was used to model the ED directly from an individual level, i.e. the behavior of staffs, physical resources and patients. Through this way, the model can represent more detailed information from bottom-up and capable to identify root causes of problems from individual behavior level. The model has been verified and validated with the collaboration of an ED in Catalunia, Spain. High Performance Computing(HPC) technique was used to simulated multi scenarios simultaneously. The basic rules governing the actions of the individual agents are defined in an attempt to understand micro level behavior. The macro level behavior, that of the system as a whole was considered to be reflected from these micro level behavior.
2. Knowledge Discovery From Micro-level behavior simulation
Now, we are trying to propose an application framework for knowledge discovery via simulating the individual behavior. The final object is to extract information from the interaction data generated by the micro-level behavior simulator for better understanding the complexity and dynamics of the system. The knowledge will do great help on learning, problem solving, decision making, and policy formulation. However, one of the challenges is the management of massive micro-level behavior data generated by the simulator and data processing. For example, sensitivity analysis to predict bottleneck or weakness, many scenarios need to simulate and cross scenario analyzing is necessary, it is almost impossible to do this without the support of HPC.
3. Embedded Technique
In addition, I am also particularly interested in embedded system, I worked three years for a company on embedded system. I am very optimistic about the application of embedded devices on high performance computing such as FPGA and DSP for specific speedup.
Quantitative Evaluation of Decision Effects in the Management of Emergency Department Problems