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Aim: It is important in the context of the informatics development and also of medical research, that new software technology to be integrated in order to achieve easier research. The aim of this study was to develop a software application that uses few resources, and that enable data collection, their primary processing in statistical terms (e.g. mean, median, etc.), drawing of survival curves and survival Log Rank statistic testing according to the collected parameters. Material and Method: For this purpose, a database in SQLite3 was developed. Because the database engine is embedded in the Database Management System (DBMS) this program allows absolute portability. Graphical interface was made in wxWidgets. Statistical calculations were obtained using R software (the `addons` E1071 was used for descriptive statistics and the `Survival `for testing survival and Northest for Kaplan Meier survival curve). Patients were cases admitted and treated in the Hematology Department of County Emergency Hospital Tîrgu Mureş hospitalized and treated during 2007-2010. Results: We created a GUI in wxWidgets to collect the desired medical data: age, date of diagnosis, date of death, blood count values, and the CD leukocyte markers detected by flow cytometry. Entwining of medical data collection and processing statistics (for acute myeloid leukemia - survival, prognostic factors evaluation) is a further step in medical research. Conclusion: The tool presented is a useful for research. Application in acute myeloid leukemia derives from the author's interest in the subject; development of this tool in other directions is possible and desirable.