Background: The use of medical-administrative databases (MADBs) has emerged in the field of perinatal care, following efforts to regionalize healthcare. Their use has become more widespread since the late 2000s. The objective of this article is to provide an overview of the research conducted on MADBs and their use in counting births. Method: The MADBs studied are: the Program for the Medicalization of Information Systems (PMSI); and the National Inter-Regime Health Insurance Information System (Sniiram). The data set includes: knowledge shared by group members using the Sniiram Data Network (REDSIAM) grid; scientific references; and gray literature. Results: Our exploratory study reveals that the uses of BDMA in perinatal health are diverse at the local, regional, and national levels. Research and publications, which are on the rise, take the form of making processed data publicly available. Collective reflection enables a shift from localized use within a single healthcare facility, a network, or multiple networks, to national-level use and integration into public policy responses. Two institutional websites provide access to birth data for 2015/2016: Data.Drees from the Drees; ScanSanté from ATIH. The BDMA databases have multiple uses: epidemiology (counting births, particularly by gestational age and birth weight; perinatal indicators), quality of care, and planning (maternity ward activities, regionalization of care). An increasing number of stakeholders, producers, and/or users of BDMA (decision-makers, professionals, or researchers) are taking an interest in them. This research is diverse and demonstrates the real potential of these BDMA. The algorithms developed to count births need to be refined, validated, and enriched. Conclusion: BDMA databases, including the PMSI and Sniiram, are proving to be widely used and relevant in perinatal care, driven by the growth of healthcare networks, the regionalization of healthcare, and increasing demands for quality of care. Their use will enhance the reliability of collected data and facilitate inclusion in validation studies, which are becoming increasingly common in the field of BDMA.