Anaís : um modelo para auxílio à tomada de decisão em casos clínicos considerando diagnóstico coletivo.

Abstract

Day after day, medical specialists analyze complex clinical cases and make decisions that can negatively affect their patients' well-being, procedure costs, health insurance costs, and the reputation of medical experts and systems involved, or even fatal. The search for better procedures in the health area, mainly in order to mitigate the risks of adverse events, has been presented as one of today's great challenges, and the development of computational methods and systems that help decision makers have been growing in the scientific and business environment. With regard to the present research, the main goal was to build a model to aid decision-making in clinical cases considering collective diagnosis. In order to evaluate the applicability of Anaís, two software products were developed and an experiment involving 75 healthcare specialists in professional training, organized in 15 groups to resolve 15 clinical cases were designed. Anaís has obtained statistically significant results of its possible applicability to the process of mitigation of decision errors and as an educational tool, according to the participants' opinions, thus reaching the objective proposed in the research.