SOFIA: Pioneering and Innovation in the Telessaúde Brasil Redes Program
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Abstract
Objective: To describe the development of the Interactive Online Strengthening System for Primary Care platform, created by the Telehealth Center at the Federal University of Maranhão, aimed at speeding up responses to the queries of primary care health professionals using artificial intelligence. Method: A descriptive approach detailing the development and functionalities of the platform, following software development standards. This includes requirements analysis, data structure planning, migration of existing information, implementation of authentication, and automated updates. The search engine used Python with the Term Frequency - Inverted Document Frequency algorithm, applying text filtering and stemming techniques, connecting to the database to query all answered teleconsultations. Results: By reusing the nearly 29,000 responses from the center and using the algorithm, a teleconsultation workflow was created, reducing response time to less than 3 seconds, significantly lower than the 72 hours predicted by the Ministry of Health. The teleconsultation processes were carried out through the new workflow, increasing response speed. Conclusion: The platform exemplifies how technological innovation can solve complex challenges in public health by providing quick and accurate responses to improve the quality of care in Primary Care.
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