The use case will focus on the myocardial infarction emergency care pathway. Currently, the central region of Portugal is suffering the highest mortality from ST-elevation myocardial infarction. Timely access to reperfusion therapy is a key variable for favourable prognosis but angioplasty requires a specialized trained care team available 24/7 and resources are limited.
The goal is to identify which regions are experiencing the highest-time-to-reperfusion and which regions suffering the highest mortality. Analyzing the registries with Interactive process mining data-driven model will allow assessing the impact of setting a new PCI facility in the region. Through simulation-based on the models, it would be possible to assess the improvement in reducing time-to-reperfusion in those regions that need it most. By allocating resources to the right region, improvement in patient prognosis is expected.
