Combining work process models to identify training needs in the prehospital care process

Abstract

The prehospital process is complex and covers a wide range of locations, healthcare personnel, technologies and competences. Enabling high quality holistic training is hence a challenge. Process models are efficient tools for representing reality, but no single modeling approach can cover the complexity of prehospital care. In our research, we have investigated the possibility to combine various process modeling techniques in order to identify training components and as many perspectives of the prehospital process as possible. Results show that combining different approaches and adapting them based on the need at hand is a successful strategy for enabling an of the prehospital care process from multiple perspectives, including identification of holistic, realistic and engaging training components. Future work can utilize our results to build training scenarios that can be implemented in training using for example simulation.