Abstract
The objective of this thesis was to demonstrate that epidemic crisis period, statistical modelling of health data can be a valuable aid in decision-making in oncology.As part of this work, an assessment of available information revealed that a multitude of data could be analysed to enhance healthcare. Various databases were explored, including the general cancer registry database (complete cancer case database), the SNDS database (complete healthcare supply database), and the CépiDC database (complete medical causes of death database).The implemented studies allowed for an epidemiological assessment of breast cancer in Martinique. Two indicators were examined during this work: waiting times to treatment and patients' quality of life. To continue this research, these two indicators will be utilized for all other cancers, with the goal of integrating them into routine care pathway management. To achieve this, real-world data which contains extensive information on disease evolution and healthcare delivery, will be used in the future to guide healthcare professionals.Martinique is subject to natural risks that can jeopardize the organization of cancer care systems; these epidemiological monitoring indicators will help prevent healthcare system overload, optimizing oncology care during crisis period.