Optimization of Information Flow in the Graduate Program in Health Sciences at UFRN: Proposals for Efficient Data Entry in the Sucupira Platform
Information Management; Information Flow; Sucupira Platform; Benchmarking.
The present research project aims to propose strategies for optimizing the information flow within the Graduate Program in Health Sciences at the Federal University of Rio Grande do Norte (PPGCS/UFRN), focusing on improving the process of completing the Sucupira Platform. Considering the complexity and relevance of this system for the evaluation of stricto sensu graduate programs in Brazil, the study seeks to identify bottlenecks and inefficiencies in the management and circulation of data within the program. To achieve this, an exploratory, qualitative study will be conducted to analyze the information flows adopted by Graduate Programs in Medicine II rated as level 7 by CAPES. The benchmarking technique will be used to learn from the best practices adopted by these high-performing programs. Comparing the information flows of these programs with that of PPGCS/UFRN will allow the identification of best practices and the formulation of proposals to make the process of data collection, organization, and entry into the Sucupira Platform more efficient and systematic. Ultimately, the study aims to offer a reference model of information flow that contributes to academic management excellence and enhances the program’s performance in CAPES evaluations.