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TOWARD SIMULATION-BASED REAL-TIME DECISION-SUPPORT SYSTEMS FOR EMERGENCY DEPARTMENTS
| Content Provider | CiteSeerX |
|---|---|
| Author | Shtub, Avraham Mesika, Yossi Greenshpan, Ohad Ingalls, R. G. Marmor, Yariv N. Wasserkrug, Segev Zeltyn, Sergey Carmeli, Boaz Mandelbaum, Avishai |
| Abstract | Emergency Departments (EDs) require advanced support systems for monitoring and controlling their processes: clinical, op-erational, and financial. A prerequisite for such a system is comprehensive operational information (e.g. queueing times, busy resources,…), reliably portraying and predicting ED status as it evolves in time. To this end, simulation comes to the rescue, through a two-step procedure that is hereby proposed for supporting real-time ED control. In the first step, an ED manager infers the ED's current state, based on historical data and simulation: data is fed into the simulator (e.g. via location-tracking systems, such as RFID tags), and the simulator then completes unobservable state-components. In the second step, and based on the inferred present state, simulation supports control by predicting future ED scenarios. To this end, we estimate time-varying resource requirements via a novel simulation-based technique that utilizes the notion of offered-load. 1 |
| File Format | |
| Access Restriction | Open |
| Content Type | Text |
