TPS 664: Climate change: temperature effects 2, Exhibition Hall, Ground floor, August 27, 2019, 3:00 PM - 4:30 PM Exposure to heat has been widely associated with an increase in mortality. After the devastating 2003 heatwave, the majority of European countries implemented adaptation strategies to reduce the health burden associated with heat. Heat health early warning systems and prevention plans are useful tools to reduce the impact of heat on human’s health. However, these preventive actions are mainly designed considering only climate parameters, and not including health data. There is also a lack of a unified pan-European service that can be adapted to all European societies and including multiple lead times. In this context, our aim is to implement a prototype of heat health early warning system for nearly 150 regions in 16 European countries. This study is framed within the Blue-Action project, funded by the EU Horizon 2020 Programme. The heat early warning system is created with the inclusion of both climate and mortality data. We are developing a climate-driven mortality model in Europe, using the distributed lag non-linear models framework. In order to model the temperature-mortality relationship, we use regional daily mortality counts for the period 1998-2012, which represents over 420 million people and includes nearly 60 million counts of death. Different methodological challenges are been considered, such as the inclusion of recent trends in European vulnerability to heat or the management of weather uncertainties to predict the health risks. Weather forecasts are restricted to a range of lead times up to 10 days. Moreover, the climate impact model is also generalized to subseasonal and seasonal climate forecasts in order to help public health authorities to better prepare their response to episodes of heat. The integration of health impacts with the traditional weather forecasts can increase the effectiveness of public health adaptation strategies and reduce the health burden of heat in Europe.