Introduction: A pilot study on the relevance and feasibility of using data from emergency medical services (Samu) in the health surveillance system for emergencies and deaths (SurSaUD®) was conducted by the Intervention Unit (Cire) in the Provence-Alpes-Côte d'Azur (PACA) and Corsica regions in collaboration with the PACA Regional Emergency Observatory (ORU). The initial objective of our study was to assess the relevance and feasibility of using these data for health monitoring and alert purposes. The operational objective was to test the implementation by Santé publique France of a sustainable information system based on these data for monitoring and alert purposes. Method: The daily transmission of dispatch records (DR) from PACA SAMU units via the interconnected SAMU database began in February 2015 and complied with the specifications drafted in 2014 (format of the dispatch record summary (RDR) and transmission procedures). The study covered the years 2013 to 2015 and the Samu units in the Paca region (excluding Vaucluse). The DRs underwent a completeness-quality analysis, a descriptive epidemiological analysis, and a comparative study using various indicators constructed from data already present in SurSaUD®. Results: The completeness of variables was good for medical dispatch records (DRM) but very poor for other DRs. The quality of coding depended on the variable (existence or absence of an official thesaurus) and the SAMU, as coding practices sometimes varied significantly from one SAMU to another, particularly regarding diagnoses. Over the study period, the EMS units recorded nearly 2,400,000 DRs. The proportion of DRMs was 89%. Analysis of the main RDR variables revealed high data stability from one year to the next. However, the variability of the constructed indicators was very high from one week to the next. The annual rate of EMS use was 16 per 100 inhabitants across the region. The proportion of patients transported directly to a specialized department was 9.5%. The number of deaths recorded by EMS units was strongly correlated with INSEE death counts and accounted for 14% of INSEE deaths. Monitoring winter epidemics using SAMU data faced the challenge of developing effective indicators, particularly due to the lack of precision in diagnostic coding and differences in coding practices among SAMU units. In the examples of exceptional events selected for the study, SAMU data helped validate the results obtained by the SurSaUD® system. However, analyzing the location of the intervention allowed for more targeted monitoring of the area impacted by the events studied. The analysis of multi-patient discharge summaries (DRs) for non-traumatic and non-circumstantial conditions proved effective in identifying unusual events. Discussion - Recommendations: This pilot study demonstrated the relevance of SAMU data for health surveillance and alerts, as well as the feasibility of automated daily reporting of SAMU activity data to Santé publique France. The main strengths of SAMU data compared to existing data in SurSaUD® are: good geographic coverage; subsidiarity relative to other data sources; tracking of pre-hospital care and patients transported directly to a specialized unit; more responsive monitoring of mortality; and easier detection of unusual events. The main current limitations stem from significant differences in coding practices among SAMU units (methods, thesauri) and lower diagnostic coding accuracy compared to emergency departments and SOS Médecins. It is important to update the RDR and data transmission procedures in accordance with the specifications established prior to the pilot phase. The widespread implementation of this pilot program, if selected, is contingent upon the prior standardization of SAMU coding practices and thesauri, as well as staff training. This objective can be achieved through the deployment of the national SAMU information system (SI Samu), whose design has begun and whose rollout is planned for the next five years. The pilot phase could be supplemented by studies conducted in other SAMU units.