A Health Mobile Application and Architecture to Support and Automate In-home Consultation

Abstract

Home care services are becoming increasingly important as a strategy to offer customized treatment to fragile patients. The continuity of medical care is essential to the service's quality, and devices to help with it are welcome. In this context, mHealth apps -or mobile health applicationscan be used to manage tasks related to home consultations and to follow up health care, using software resources to improve the treatment results. This paper presents a health mobile application developed to this end, providing an architecture to support the integration and automation of long-term tasks carried out through different phases of the treatment, in order to help physicians before, during, and after home visits. It also supports treatment adherence, offering follow-up alerts and data to set up remainder medical applications. Moreover, this approach aims to increase the quality of health care, helping to reduce errors related to misunderstanding of medical prescriptions or misconfigurations of medication reminder apps.

Personalized Mobile Health for Elderly Home Care: A Systematic Review of Benefits and Challenges

“…For example, because most older people are retired or unemployed and their chronic health conditions required extensive lifelong management, forcing users to pay for a long-term health plan creates an economic burden. However, according to surveys, most participants were willing to use the program if it was cost-effective [ 54 ].…”

“…Personalized mobile applications for the elderly can have significant effects on their quality of life, reduce mortality, improve patient experiences, and alleviate life stress associated with illness and depression. Most studies refer to the improvement of the patient's condition and reducing costs [36,43,46,47,[54][55][56][57][58][59][60][61]. To improve the mobile applications to become more personalized, it is required to apply more intelligent features to the current version.…”

Sistema de Informação para Agendamento 4.0: Caracterização, UX e LGPD

“…Alguns trabalhos recentes, como [Habibi et al 2019, Araújo et al 2015, investigam os efeitos da adoc ¸ão de sistemas online de agendamento e gerenciamento de consultas. Apesar de esses trabalhos limitarem-se ao escopo do Agendamento 3.0, os resultados indicam melhorias significativas em métricas como tempo de espera do paciente, taxa de não comparecimento e pontualidade do médico.…”