Introduction. This research proposes a comprehensive analysis of deaths considered natural using the Forensic Information Management System (SIGIF) and the National System of Legal Medicine and Forensic Sciences (SNMLCF) in Zones 1 and 2 in the year 2024. The aim is to define the classification of cases that can be classified as violent according to the Comprehensive Organic Penal Code (COIP), thus providing valuable information to the wider community. With the aim of determining the classification of cases that could be reclassified as violent, as indicated by the Comprehensive Organic Criminal Code (COIP), thus providing valuable information for the community at large. Methodology. A quantitative and qualitative approach was used to analyze the 2024 database, identifying the reclassification rate and associated factors. The combination of methods provides clarity in addressing the research question, also considering the analytical method. Results. In this challenge, a qualitative, quantitative, and analytical analysis was conducted on the initial DINASED database, issued by SIGIF and SNMLC 2024. After a rigorous analysis, the results of this research, which records natural deaths admitted to the morgue due to numerous factors, were concluded to be important. These results are useful for organizing and strengthening the reclassification of forensic research, which allows for more effective and secure public policy design. Conclusion. There are underlying factors that justify forensic intervention, considering the COIP's focus on violent deaths. Therefore, reclassification is a key factor in the investigation. It allowed for the identification of risks of error and the formulation of recommendations to optimize the classification processes for natural deaths in the morgue. However, the lack of valid clinical documentation highlights the need to strengthen communication between health services and the Prosecutor's Office to optimize forensic management. General Area of Study: Health. Specific area of study: Forensic Sciences. Type of study: Original articles.