Abstract-In this work, a software application was developed to analyze and visualize messages over Twitter social network, ranking the posts relatively to variations in moods within the Brazilian territory. Artificial intelligence techniques such as text mining and sentiment analysis were used for this purpose. The use of methods of machine learning allows determining the polarity (positive or negative) of tweets collected. Results were displayed in cartograms, through representations of tweet's geographic locations. Surprisingly, another study of twitter's mood from United States Nation showed similar results for the variation of moods throughout the day, hypothesizing a humor pattern for human beings during the period of 24 hours.

For health practitioners, accreditation processes are necessary for their career development. The importance is not restricted to attesting competencies and skills, it may even certify that some professionals are legally capable and authorized to perform a specific complex procedures, such as kidney transplantation. For example, physicians are crossing national borders with their practice, especially in Europe, and patients are becoming more demanding, thus in need of reliable information regarding health professionals. In this context, we propose a scenario to exemplify and to elucidate an emerging problem, that is, an opportunity. Let us consider that a group of national societies on transplantation biology and medicine decides to create an International Accreditation System for health professionals. The system would be a decentralized institution composed of multiple organizations, because accreditation is about trustworthiness, which naturally suggests the use of blockchain technology. Hence, in this work, we propose the use of blockchain and service design in healthcare, as fundamentals for the conceptual design of an international accreditation system for health professionals. Additionally, this work may be understood as a strategy for modeling, designing and developing healthcare systems based on blockchain technology.

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