Digital transformation in e-health is a well-known challenge problem reported from several studies and from several dimensions. In addition, it has been verified a gap in the utilization of new technologies as differential tool in the war against the Covid-19 pandemic. In this paper, we present an ongoing research effort which is characterized for supporting a digital transformation gap found in a public primary healthcare system. Therefore, it can be seen as an interesting case study approach to tackle some challenges found in Covid-19. Utilizing smart bands by groups of different type of voluntaries, where vital signals were collected in a digital data fashion and then evaluated in public health unit. A recommendation system (RS) algorithm was also developed to understand users´ behaviors, based upon their vital signals. In addition, we utilized a simulator software to highlight people movement and predictable scenarios of Covid-19 contamination. This last effort provides a visualization on how the proposal could also help in a real ordinary monitoring scenario. Initial results from this research work indicates a differentiated approach to tackle challenges in digital transformation in a public health scenario, especially in a pandemic. In addition, our experiments illustrate that the adoption of some computational technologies require mainly changes on the present behavior, from governments and people, to be successful approaches to individual protection inside public environments.
Public primary healthcare environments are facing grand challenges related to digital transformations. This is reported from many studies, in several countries, and observed from diverse areas. The present war against the Covid-19 pandemic has shown the required utilization of combined information and communications technology approaches. In this paper we present the Atena research work, which is a proposal development that focus on a public primary healthcare system digital transformation. The approach of implementation science is observed through our scientific studies of methods to gather the digital data, and recommendation strategies to facilitate healthcare personal, and using the evidence-based practice from the Atena. Study scenarios provide interesting view of several elements which can help to enhance a wider discussion about technologies and their scientific implementation. We considered wearable devices used by different groups of voluntaries. Vital digital signals from these voluntaries were gathered to afterwards be evaluated by professionals inside the healthcare premises. To provide a better understanding of these people´s behaviors, a recommendation system (RS) is being conceived as a support tool, utilizing their digital vital signals. Another element from the proposal is a simulator-based architecture. This component highlights people´s movement and predictable scenarios of contamination. A common daily monitoring scenario can be enhanced from these simulations’ experiences. After our initial results, it is possible to affirm that the Antena proposal provides a valuable approach to face several efforts in digital transformation in public primary healthcare structures. This transformation can be verified in the present pandemic scenario. Experiences from this research indicates that the adoption of some computational technologies requires major changes on the present behavior from governments and citizens.
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