Advancing Healthcare in Córdoba :Telemedicine as a Service (PGaaS) and Addressing OWASP Machine Learning Security Challenges

This study proposes a framework that leverages ML algorithms for the cybersecurity of telemedicine systems in the Department of Córdoba, Colombia, addressing challenges amplified by the COVID-19 pandemic. The framework emphasizes enhancing the processing capabilities and reliability in managing clinical information, particularly focusing on the RES. It integrates a PGaaS aligned with the OWASP guidelines, aiming to neutralize emerging threats using advanced IA models. The system incorporates data encryption, 2FA-based Access Control, continuous backups, code obfuscation, and watermarking, all supported by a suitable legal framework. These components are combined into a comprehensive monitoring and auditing scheme to ensure robust protection against intelligent intrusions and the compromise of medical data.