OBJECTIVE: To develop a prototype system to manage data on coloproctology surgery, aiming at Data Quality (DQ) and the adoption of a DQ monitoring process, which is nonexistent in most biomedical systems. METHODS: The construction of the prototype was separated into five steps: analysis of an existing system (legacy), the analysis of requirements and specifications for the new prototype, the development of the model, definition of technologies and the development of a prototype. RESULTS: The analysis of the legacy system revealed several limitations and inconsistencies, which can result in problems concerning the DQ. Therefore, actions to prevent these problems are already being executed at the step of developing the prototype, such as the creation of interactive and more elaborate interfaces, the use of validation mechanisms on data fields and the proposal of a process to monitor inconsistencies and incompleteness in patients' data. CONCLUSION: The adoption of DQ mechanisms on system development results in building a reliable and consistent database, to assist tasks such as management, scientific research and future intelligent data analysis methods. Future work includes subjective evaluations of DQ indicating the adequacy of the prototype for the users' needs.
colorectal surgery; data collection; data analysis; information systems; data mining
