Patient-Controlled, Consent-Based Health Record Exchange: Structural Preconditions And Overlay Architecture For Population-Scale Implementation
Abstract
Fragmentation of patient health records across healthcare institutions remains a persistent challenge in modern care delivery systems, contributing to duplicated diagnostic testing, incomplete medication reconciliation, and delays in clinical decision-making. Although electronic health record (EHR) adoption has expanded significantly, interoperability efforts based on centralized repositories or institutional data-sharing agreements have faced persistent challenges related to governance complexity, cybersecurity concentration risk, data ownership disputes, and workflow incompatibility.
This study examines structural barriers to cross-institutional health information exchange and proposes a federated architecture for patient-controlled, consent-based data sharing. The analysis introduces the Five Preconditions Model, which identifies five structural requirements necessary for population-scale implementation of patient-mediated data exchange: reliable portable patient identity, machine-enforceable granular consent, ubiquitous patient-controlled access channels, interoperable access interfaces, and clinically usable data summarization. The paper further develops the Overlay Moat Stack, a conceptual framework explaining how federated exchange platforms achieve long-term sustainability through infrastructure alignment, workflow integration, consent-network accumulation, and longitudinal intelligence generation rather than centralized data ownership.
Drawing on empirical evidence from health information exchange studies, technology adoption research, and healthcare interoperability initiatives, the analysis demonstrates why previous centralized integration efforts have struggled to achieve sustainable adoption. The findings suggest that overlay architectures—rather than system replacement strategies—offer a more viable pathway for scalable interoperability across heterogeneous provider networks. By aligning technical interoperability standards with patient-controlled authorization mechanisms and existing institutional workflows, the proposed framework provides a structural foundation for implementing secure and patient-centric health record exchange systems at population scale.
