To fulfill the mandate entrusted to it by the Public Health Policy Act of August 9, 2004 ("to implement, in coordination with health insurance providers and the statistical services of the relevant government departments, a system for the centralization and analysis of statistics on workplace accidents (WA), occupational diseases (OD), suspected occupational diseases, and all other data relating to occupational health risks, collected in accordance with Article L.1413-4" (Article 15, paragraph 6)), the InVS Department of Occupational Health has undertaken a two-pronged approach: . conducting an assessment of the compensation systems for WAs and ODs in the main social security schemes, taking into account the various stages of the compensation process and the resources deployed, including IT resources and the data collected, . evaluating the information needs regarding occupational health risks of potential stakeholders in compensation and prevention, taking into account existing constraints at all levels. The General Social Security Scheme and the Agricultural Social Mutual Fund (MSA), for which the compensation process is virtually identical (submission of a claim to the social security agency and, if approved, reimbursement of medical expenses and daily allowances, assessment of sequelae, assignment of a partial permanent disability (IPP) rating and a pension by social security) have each recently established a data warehouse enabling the management of all stages of this process, the compilation of statistics, the setting of employer premiums in the case of the General Scheme, and the analysis of claims rates. For EDFGDF, whose employees are covered by a special social security scheme, the recognition of the occupational nature of the accident or illness is carried out by the general scheme. The special social security scheme that manages the compensation aspect uses specialized software. The SNCF and the RATP, special social security schemes that operate in the same manner as the general scheme, have implemented internal software within each company. In contrast, the compensation process for the three civil service branches is different: the human resources department of the victim of a work-related accident (AT) or occupational disease (MP) manages the process (preparation of a hierarchical report); "attribution to the department" is determined by a reform commission, which may subsequently award a "disability allowance" (in agreement with the ATIACL, a specialized department of the Caisse des Dépôts et Consignations, for local and hospital public service employees). Apart from the internal stakeholders within each social security system—who naturally require tools to improve the efficiency of WAI/OI management—the potential stakeholders in information systems related to WAI/OI include all those who manage costs or are involved in the field of occupational risk assessment or risk prevention, whether at the local level or in the development of global or local policies. An analysis of these stakeholders’ needs yields the following list: . need to manage and improve the efficiency of compensation (timeliness); . need to assess and control costs; . need to forecast and plan costs (with the pending issue of pricing reform); . need for statistical data, particularly for the government (in line with European recommendations); . the need to analyze accident rates for prevention purposes; . the need for health monitoring to help decision-makers prioritize issues, establish priorities for action, and implement national and/or local initiatives. The statistical tool called for by the Public Health Policy Act of August 9, 2004, must address all of these needs. The last three objectives require in-depth analysis, as the results of this analysis will determine the choice of a solution for implementing a centralized statistical tool. The InVS’s Occupational Health Department proposes a pilot study that could last one year: a sample of data from the general social security system and a sample of data from the MSA will be analyzed, first regarding the consistency and compatibility of the data (type of data collected, nomenclatures, etc.), and second, on potential uses (calculation of statistical indicators, calculation of public health monitoring indicators based on epidemiological results). Data from the SNCF, the RATP, and EDF-GDF could also be included in this pilot project. At the same time, a pilot project to digitize individual data must be implemented for the three public sectors: either using the PRORISQ database of the Caisse des dépôts et consignations, or using the Human Resources Information System (SIRH) of the State civil service. Following these two types of trials, the results will enable the selection of an appropriate solution: coexistence of different systems or integration into a single national data warehouse within a structural framework yet to be determined. (R.A.)