ABSTRACT

This chapter proposes a new platform in order to improve the daily operation of a healthcare system, specifically the emergency department of a hospital. It aims to improve benefit awareness and provide new empirical evidence on the socio-economic impact and lessons learnt from successful AMS implementation. The software proposes new resource allocations to better serve patients in an emergency department and to eliminate wastes. The optimization phase suggests new resource allocations for better system performance, always guaranteeing a balance between patient, employee, and owner satisfaction. The language core is integrated with a Petri net simulator where all stages cooperate together and run concurrently in order to serve the patient. The simulator validates the model topology fed through the language core by making sure that the system is sound, all connections are valid, and siphons are controlled. Efficiency refers to improving productivity for treating patients such as lower waiting times, lower resources workload, and an increase in system revenue.