Abstract
Nowadays wearable devices are very popular. The reason for that is the sudden reduction in pricing and the increase in functionalities. Healthcare services have been greatly benefiting from the emergence of these devices since they can collect vital signs and help healthcare professionals to easily monitor patients. Medical wellness, prevention, diagnosis, treatment and monitoring services are the main focus of Healthcare applications. Some companies have already invested in this market and we present some of them and their strategies. Furthermore, we also conducted a group interview with Altice Labs in order to better understand the critical points and challenges they encountered while developing and maintaining their service. With the purpose of comprehending users’ receptiveness to mHealth systems (mobile health systems which users wear - wearables) and their opinion about sharing data, we also created a questionnaire (which had 114 valid responses). Based on the research done we propose a different approach. In our product and service concept solution, which we share herein, we consider people of all ages to be targets for the product/service and, beyond that, we consider the use of machine learning techniques to extract knowledge from the information gathered. Finally, we discuss the advantages and drawbacks of this kind of system, showing our critical point of view.
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Acknowledgements
We would like to thank Telma Mota and Ricardo Machado from Altice Labs for having agreed to be interviewed and for all the information provided during the group interview. For the dissemination of the questionnaire, we would like to thank Patrícia Gonçalves and Graça Ferraz, from the Recesinhos Social Center, for having helped in the gathering of data from the elderly; and Ana Araújo for having helped in the gathering of data from the younger age groups.
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Fonseca, L., Barroso, J., Araújo, M., Frazão, R., Au-Yong-Oliveira, M. (2020). A Product and Service Concept Proposal to Improve the Monitoring of Citizens’ Health in Society at Large. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S., Orovic, I., Moreira, F. (eds) Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, vol 1161. Springer, Cham. https://doi.org/10.1007/978-3-030-45697-9_1
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DOI: https://doi.org/10.1007/978-3-030-45697-9_1
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