<p>The increasing complexity and volume of health records create an urgent need for a patient-centered approach to interoperability in healthcare systems. We propose the APORES (Autonomous Patient-Oriented Record Exchange System) as a decentralized data architectural model that combines blockchain technology with the Fast Healthcare Interoperability Resources (FHIR) standard. The APORES aims to overcome key challenges in healthcare interoperability by decoupling content (health records), context (FHIR standards), and policy (governance) into distinct layers. It provides greater control over health records to patients through a unified interface. The APORES includes three main components: Unified Access Management, Unified Record Retrieval, and Interoperability Semantic Mapping. These components are built on the interactions between the APORES layers and provide data interoperability across fragmented healthcare systems that follow diverse FHIR implementation guides. We validated APORES by interoperability testing to demonstrate the implementation feasibility and its capability to retrieve and transform patient health records between different standards through a test scenario on glucose report standards used in the Netherlands and the United States. In addition to improving data interoperability with models like APORES, it has the potential to significantly reduce healthcare financial impacts, with estimated savings of $33.4&#xa0;billion annually. The APORES data architectural model validates the hypothesis that embedding data interoperability into a data architectural model with a decentralized autonomous system can improve patient-centered interoperability by empowering patients to grant access to their health records via a single interface.</p>