Análise do processo de adaptação do conhecimento em saúde: cenários de aplicação para plataforma LARIISA

Abstract

Knowledge Translation in health care has been adopted to describe the methods used for dissemination of scientific evidence to several other related social actors. The intention is for this evidence to become more accessible to its final users (patients, health professionals, organizations and health managers) to cooperate in making decision in health. In this manner, Knowledge Translation has as objective to reduce the temporal and conceptual gap that extends between knowledge production and practice for the final user. This is essential in order to obtain better results in health care, along with contributing to the reduction of costs in knowledge utilization, providing the correct knowledge, to the correct person, at the correct moment. This is an analytic study on the Knowledge Translation process in integrated health systems. The study was based on the Knowledge to Action model (KTA), developed by researchers at the University of Toronto and the Canadian Institute of Health Research – CIHR, which has served as reference for the Canadian health system. As conceptual proof of the analytic study performed, we used as application scenario, LARIISA (Laboratoire Application Réseaux Intelligence Intégration Santé), a platform for decision making in the governance of health systems. LARIISA uses, in its framework specification, the KTA model. It uses intelligent systems and context-awareness technology in its conception. Data collection method used was documental analysis from the ‘Knowledge Translation in Health Care’ book and the five application domains from the LARIISA platform: clinical-epidemiological, normative, knowledge management, administrative and shared management. This permitted the elaboration of conceptual maps that translate the local and global coverage of the LARIISA project, resulting in the construction of application scenarios. Thus, this study is characterized as the first analytic endeavor on knowledge management in the LARIISA platform, whose results propose alterations in the initial proposal of LARIISA framework.