215339e7-3fb7-4f9c-9e70-292b3beb5d1220250807133435748naun:naunmdt@crossref.orgMDT DepositInternational Journal of Education and Information Technologies2074-131610.46300/9109http://www.naun.org/cms.action?id=3037131202513120251910.46300/9109.2025.19https://npublications.com/journals/educationinformation/2025.phpValentinoŠafranHuman-Centric Explorations and Research in AI, Technology, Medicine and Enhanced Data (HUMADEX) Group, Faculty of Electrical Engineering and Computer Science, Maribor, SloveniaUmutAriozHuman-Centric Explorations and Research in AI, Technology, Medicine and Enhanced Data (HUMADEX) Group, Faculty of Electrical Engineering and Computer Science, Maribor, SloveniaRigonSallaukaHuman-Centric Explorations and Research in AI, Technology, Medicine and Enhanced Data (HUMADEX) Group, Faculty of Electrical Engineering and Computer Science, Maribor, SloveniaIzidorMlakarHuman-Centric Explorations and Research in AI, Technology, Medicine and Enhanced Data (HUMADEX) Group, Faculty of Electrical Engineering and Computer Science, Maribor, SloveniaThis paper presents a healthcare platform based on the HL7 FHIR standard that addresses two critical needs in modern healthcare information systems: secure interoperability and scalability. The platform uses a robust FHIR data model to support standardized integration with existing PROs and analytics systems. By deploying microservices as containerized services on virtual infrastructure and managing identities with Keycloak, the platform enables real-time, secure data exchange between clinicians and patients in compliance with data protection regulations. Load testing with up to 5,000 concurrent users demonstrates efficient resource utilization and highlights areas for potential optimization. These findings contribute a reference architecture and initial performance results that can guide implementation of large-scale, FHIR-compliant solutions in clinical or research settings. This approach supports secure, real-time data exchange between patients and clinicians. 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