Introduction:

This study reports on an experience during the COVID-19 pandemic, where in view of the suspension of face-to-face activities at the Universidade do Estado do Rio Grande do Norte (UERN), a strategy was developed using digital resources, aimed at mitigating the negative impacts on the training of future doctors and health care of women and adolescents. The work involved the participation of three professors from the Department of Biomedical Sciences (DCB - UERN), 31 medical students, 12 residents of the Medical Residency Program in Gynecology and Obstetrics (PRMGO) at UERN / Prefeitura Municipal de Mossoró (PMM), two technicians and 150 patients, in virtual spaces and in the practice scenarios of the PRMGO, the Gynecology and Obstetrics (GO) Outpatient Clinic at FACS/UERN, and the Pro-Women Outreach Program.

Experience report:

18 multi-disciplinary webinars were held; an application for monitoring prenatal care was used, as well as social networks as tools for promoting health, research development and an instrument for assessing the quality of the health information.

Discussion:

Actions to support students and encourage teacher development contribute to reducing the impacts of the pandemic on aspects of education and health care. Student engagement, the development of educational products, and holding remote lectures and demonstration sessions can promote learning and the development of medical skills, but, in to guarantee the safeguarding of human rights, the use of digital technologies in medical education and health care implies great ethical, social and political responsibility, and so the appropriate and safe use of technologies must be ensured.

Conclusion:

In challenging scenarios in the interior of Rio Grande do Norte, Northeast Brazil, it was possible to promote meaningful learning and contribute to the development of medical skills through genuine digital inclusion, based on integrative, interdisciplinary actions, the benefits of which can be broadened by affirmative policies that address regional characteristics and indicators, and reduce asymmetries.

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