ArticleJAMIA open2026
Development of the authentication and authorization processes for the iAgree portal, a platform for patient-controlled data sharing across health systems.
Article in JAMIA open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
18 authors.
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Abstract
Objective: To develop the authentication and authorization module for iAgree, a privacy-preserving platform that enables patients to manage consent preferences and share electronic health record (EHR) data across multiple health systems with researchers. The consent and blockchain modules are described elsewhere. Materials and Methods: We developed the authentication and authorization module of iAgree. This module supports account creation and cross-institution identity binding as part of the iAgree workflow to enable patients to authenticate using federated credentials (eg, Google, Facebook). Patients link their identities across institutions by signing into each participating health system's patient portal. Identity attributes retrieved via a Fast Healthcare Interoperability Resources (FHIR Results: We installed the iAgree platform in a test or proof-of-concept environment at three health systems: Cedars-Sinai Medical Center, University of Colorado, and University of California, San Francisco. Functional testing with test patients demonstrated that authentication, identity binding, and secure multi-site record linkage could safely bind the identities of patients across sites, enabling patients to manage their data sharing consent preferences. Discussion: The results demonstrate the feasibility of a privacy-preserving multi-institutional data-sharing architecture that employs federated login, secure privacy-preserving multi-site record linkage, and blockchain-based consent tracking to align with privacy regulations while increasing transparency and patient autonomy. Conclusion: This effort demonstrated that the authentication and authorization module enables iAgree to be a feasible and secure platform for patient-directed sharing of EHR data across health systems with researchers. Future work will evaluate usability, patient engagement, and future real-world deployment.
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