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The Système National d’Information Interrégimes de l’Assurance Maladie (SNIIRAM) is a database that tracks and reconciles healthcare reimbursement for both community-based care and hospital stays. It provides an almost exhaustive source of medical administrative health data on the French population. The REDSIAM network is developing interaction among the growing number of SNIIRAM data users, whether it be for studies, research or epidemiological monitoring, validating and promoting analytical methods resulting from this data. Within this network, the “mental health and behavioural disorders” working group (5GT-TMC) decided to develop algorithms that could, using SNIIRAM data, identify adults suffering from depression. It would indeed appear that some psychiatric disorders, and in particular depression, has rarely been studied using medical Institute databases (BDMA). The methodology involved the use of interviews with ten experts who had already worked on the SNIIRAM database, from validated questionnaires. Interview summaries show that the algorithms must be adapted to follow the specific objectives of the studies, and dependent on the type of survey carried out, the type of depression, the scope of data used and the association, where applicable, of medication usage data.