[The REDSIAM network].

Area of Science:

• Public Health
• Health Informatics
• Epidemiology

Background:

• The French national health database (SNIIRAM) is valuable for public health but complex to utilize.
• Significant resources and expertise are needed for effective SNIIRAM data analysis.

Purpose of the Study:

• To establish the REDSIAM network for collaborative analysis of SNIIRAM data.
• To develop and validate methods for disease identification and public health research using SNIIRAM.
• To share knowledge and experience among specialized teams.

Main Methods:

• Formation of the REDSIAM network with defined governance (Steering Committee, Bureau, Technical Committee).
• Organization into thematic working groups focused on specific pathological domains.
• Development and validation of algorithms for disease identification from SNIIRAM data.

Main Results:

• The network has initiated the development and validation of algorithms for disease identification.
• The first results from thematic working groups are presented in this special issue.
• A charter has been established to govern network participation and data usage.

Conclusions:

• The REDSIAM network is crucial for advancing the use of SNIIRAM data in public health and research.
• Collaborative efforts enhance the development of robust analytical methods for health surveillance.
• Sharing expertise within REDSIAM accelerates the validation of disease identification algorithms.