Case study 2
This study aims at developing an App, to provide citizens with real-time information on the crowding level of the participating EDs, and a web-based control panel to enable health policymakers to monitor the activity of the ED and predefined epidemiologic phenomena. Both systems will rely on the stream of data extracted by the EDs with the tool developed within the project and an AI-based predictive model to formulate short-term predictions of the number of arriving patients.
Primary objectives:
To design a set of informative indicators for citizens, describing the situation of ED crowding in real-time and its short-time possible evolution.
To design a set of organisational and epidemiological indicators for healthcare providers and policymakers to monitor the activity of EDs and the accessing population.
