Prediction of the Patient Pathway in Emergency Room in an Exceptional Sanitary Situation

Prediction of the Patient Pathway in Emergency Room in an Exceptional Sanitary Situation

The COVID-19 outbreak leads to optimize the pathway in emergency departments. The length of time spent in the Emergency Department is linked to the morbi-mortality and the risk of COVID-19 transmission. The Amiens-Picardy University Hospital has developed an application (3P-U) that optimizes patient flow. It identifies the need of hospitalization and problems on the care path. Patients are categorized in high risk or not high probabilty of hospitalization. The main goal of this project is to evaluate the impact on the patient flow of the 3P-U application. Early lookup of bed for high probability hospitalization should be linked to a reduced time of length. This study will compare the time of length between this both groups.

Inclusion Criteria:

• every patient that consults in the Adult Emergency Department

Exclusion Criteria:

• patients directly transferred to Intensive Care Units