Background - In Réunion, non-specific surveillance was primarily established in 2009 and relied on data from emergency care services, calls to the emergency medical service (SAMU), and mortality statistics. Starting in March 2010, a new surveillance system was implemented in collaboration with the Indian Ocean Regional Health Surveillance Unit and the Réunion General Social Security Fund. It is based on the weekly number of consultations and home visits by general practitioners, broken down by municipality in Réunion. Here we present the methods for using these data for surveillance purposes not specific to Réunion. Methods - The analyzed data cover consultations and visits by private general practitioners and pediatricians for each of Réunion’s 24 municipalities and are received in week S + 1. They correspond to 72% of the island’s population. Since the data received refers to reimbursed care identified in the databases of the General Social Security Fund of Réunion, it is updated weekly as reimbursement data flows in. To enable weekly analyses, help measure a public health event, and rapidly detect an unusual public health event, a correction factor was therefore calculated and applied to the total number and to each municipality. Results - Over the period from week 15 of 2005 to week 53 of 2009, on average and per month, 80,000 consultations were reimbursed by the General Social Security Fund of Réunion (min: 58,000; max: 120,000). Two main peaks in activity were observed across the entire island during the study period: one from week 4 to week 9 of 2006, with a peak of 105,000 consultations in week 8, and the second from week 34 to week 41 of 2009, with a peak of 120,000 consultations in week 35. Conclusion - The two peaks described in 2006 and 2009 correspond respectively to the chikungunya and 2009 influenza A/H1N1 epidemics that affected Réunion. The two main advantages of this surveillance system are its near-comprehensive coverage—as the data represent three-quarters of Réunion’s population—and its geographic breakdown by municipality. When used alongside other surveillance networks, this system allows for the expansion of monitored indicators, reflecting the various patterns of healthcare utilization. (R.A.)