Um framework para avaliação de plataformas para Telessaúde

Abstract

After the emergence of COVID-19, the Conselho Federal de Medicina (CFM), on an emergency basis, authorized the use of telehealth in the form of tele-guidance, tele-monitoring, teleconsultation, and teleinterconsultation. Although several digital health platforms have been developed and are in use, there is a need to evaluate several dimensions of these products. What is observed in the literature of the area is that there is no consensus regarding evaluation methodologies. In this context, the objective of this work is to propose a simplified framework to support the evaluation process of Telehealth platforms, considering ergonomics, usability and security items, fundamental for evaluating the quality of technological applications, according to the ISO 9241-11 standard and its derivatives and aspects of the General Law of Data Protection. Methods: Qualitative prospective study using analysis of the responses of the target audience of Telehealth platforms, being selected one platform to apply the instruments. The framework was developed using the principles of Ergolist, SUS and LGPD essential items methodologies, adapted to the reality of the proposal and were tested with the Health Mobile platform. The sample included 25 participants who proposed to answer the instruments, observing the resources available on the Health Mobile platform. Of those selected, 88% had a college degree, and 22% had a high school degree. Among the users participating in the research, 20 were professionals and 5 were patients, to identify opinions of these users as well. The research was divided into 4 stages: bibliographic research focused on ergonomics, usability and security tests available and already applied in the various existing platforms in general, assembly of the framework; testing of a platform using the framework and analysis of the results. The biggest challenge of the proposal development was to select such distinct methods and make them coexist in the same framework. Results: The applied results were described in tables, generating summary-measurement graphs (mean, variance, frequency and percentage), which pointed out that the instrument is providing valuable answers regarding the quality of the platform. Conclusion: The results of the tests pointed out that the items that make up the framework consider items that help identify important weaknesses, supporting processes of updating platforms so that they become safe, ergonomic and adherent to the quality criteria in force today