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Revista Colombiana de Biotecnología

Print version ISSN 0123-3475


HERNANDEZ MEDRANO, Alfonso; URRIOLAGOITIA CALDERON, Guillermo; HERNANDEZ SIMON, Luis Manuel  and  HERNANDEZ GOMEZ, Luis Héctor. Knowledge-Based System Model to Support Diabetes Research and Clinical Process. Rev. colomb. biotecnol [online]. 2011, vol.13, n.2, pp.5-9. ISSN 0123-3475.

Due to the great amount of information generated and supported by the explosive evolution of computer science systems since the end of the last century, the expansion and transference of scientific knowledge has caused a rapid transformation of scientific discoveries in products and applications that have positive effects in the life quality of societies. Today, a great amount of data in medicine is obtained by the application of biotechnological methods that constantly evolve. Thus, scientific research related to diabetes keeps improving. In this context, productivity and competitiveness must be sustained on knowledge which facilitates and encourages organizational innovation capacity. For this reason, knowledge based systems emerge as a useful tool to help organizations solve difficult assignments or improve their processes. In this work, derivate from known diabetes group of symptoms and interactions that diabetes research maintains with the biotechnological processes, the authors carried out a brief analysis of the knowledge involved as well as the role that knowledge-based systems have played, and keep playing in support of them. Additionally, with the systemic perspective obtained by the authors regarding aspects like knowledge, practices and resources needed in clinical and laboratory practices, they propose a systemic model that can support diabetes research and clinical process.

Keywords : biotechnological process; computer science systems; diabetes; knowledge based systems; systemic.

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