Infectio (Jul 2022)
Uso de la plataforma MAIA® (Medical Artificial Intelligence Aid) para el ajuste de red de servicios durante la pandemia COVID-19 en el departamento de Magdalena, Colombia
Abstract
Background: Describe the experience and results of the use of a digital platform navigated by the MAIA artificial intelligence engine for epidemiological sur-veillance in the department of Magdalena, Colombia, during the public health emergency generated by the Covid-19 disease pandemic in the period July 30 to December 8, 2020.Methods: The MAIA ® digital platform was adapted to extract data from Covid-19 cases from the different health institutions distributed in the municipalities of the department of Magdalena. This information is then transformed through the platform into dynamic digital dashboards with 24/7 functionality, which allowed the visualization of descriptive information, trend curves and geolocation to facilitate decision-making in public health during the operating time.Satisfaction and utility surveys of the use of the platform called “MAIA DATA CRUE CENTRO REGULACIÓN DE URGENCIAS Y EMERGENCIAS” (MAIA DATA CRUE) designed by MEDZAIO were carried out to know the perception of users.Results: Currently 58 health institutions from 27 municipalities of Magdalena are using the MAIA digital platform, in more than 4 months of operation a daily use of 100% has been achieved, with information extraction every 12 hours and continuous display of information throughout the period of use. More than 1200 records have been received, which have served to consolidate live information, with which daily health decisions have been made by the Magdalena COVID-19 pandemic regulatory center, optimizing the installed hospital and ICU capacity. 100% of those surveyed agree that this type of tool should continue to be used as epidemiological surveillance in COVID-19.Conclusion: The adaptation and use of digital platforms such as MAIA DATA CRUE CENTRO DE REGULACIONES DE URGENCIAS Y EMERGENCIAS, is an application of digital epidemiology for the intelligent management of diseases. This article demonstrates the importance of using digital tools supported by artificial intelligen-ce to optimize the capacities of health systems regarding the different dimensions, in this case epidemiological surveillance and public health.
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