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Efficient secondary use of real-world data (RWD) is a cornerstone for advancing data-driven medical research and personalised healthcare. However, significant challenges persist, including data fragmentation in silos, the lack of record linkage, and legal constraints that often hinder data utilisation. Especially Electronic Health Records (EHRs) represent a valuable data source, yet their potential remains largely untapped due to these barriers. Especially modern data space solutions promise to address these challenges, focusing on standardisation and harmonisation efforts, data governance aspects, as well as federated data-sharing approaches. A significant push in this area represents the European Health Data Space (EHDS) Act, focusing on an opt-out based approach for secondary use of health data. An additional consent-based approach (opt-in) represents data donation, which empowers individuals to contribute their data to research while maintaining trust and privacy under the current legal situation. The flagship project Smart FOX lays the foundations for making citizen-based data donations of EHR-standardised information usable in clinical research in Austria. As part of the architecture of the Austrian Health Data Donation Space (AHDDS), data donation boxes - Federated Open data eXchange Boxes (FOX BOXes) - present the fundamental decentralised building blocks for sharing EHR-standardised data. This paper outlines the architecture, functionality, and governance of FOX BOXes, highlighting its role in overcoming key barriers to health data sharing and its potential to accelerate data-driven research.
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http://dx.doi.org/10.3233/SHTI250187 | DOI Listing |
Scand J Med Sci Sports
September 2025
Department of Dermatology and Allergy Biederstein, School of Medicine and Health, TUM University Hospital Rechts der Isar, Munich, Germany.
In wheat allergy dependent on augmentation factors (WALDA), allergic reactions occur when wheat ingestion is combined with exercise or rarely other augmentation factors. We analyzed clinical characteristics and disease burden in recreationally active and trained individuals with WALDA diagnosed by oral challenge test. Clinical characteristics, serological data, and quality of life (QOL) questionnaires were analyzed and completed with follow-up interviews.
View Article and Find Full Text PDFHealth Inf Manag
September 2025
Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Background: The success of disease registry systems (DRSs) depends on developing software that aligns with the registry's specific needs.
Objective: This study focuses on localising the Checklist with Items for Patient Registry sOftware Systems (CIPROS) to facilitate the DRS assessment.
Method: This applied and cross-sectional study was carried out in 2023 in six phases.
Alzheimers Dement
September 2025
Department of Population Health Sciences, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.
Introduction: We compared and measured alignment between the Health Level Seven (HL7) Fast Healthcare Interoperability Resources (FHIR) standard used by electronic health records (EHRs), the Clinical Data Interchange Standards Consortium (CDISC) standards used by industry, and the Uniform Data Set (UDS) used by the Alzheimer's Disease Research Centers (ADRCs).
Methods: The ADRC UDS, consisting of 5959 data elements across eleven packets, was mapped to FHIR and CDISC standards by two independent mappers, with discrepancies adjudicated by experts.
Results: Forty-five percent of the 5959 UDS data elements mapped to the FHIR standard, indicating possible electronic obtainment from EHRs.
J Investig Allergol Clin Immunol
September 2025
Department of Ophthalmology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Background And Objectives: Pollen-food allergy syndrome (PFAS) is a frequent comorbidity in individuals with hay fever. Identifying risk factors and allergen clusters can aid targeted interventions and management strategies. Objective: This study characterizes PFAS in patients with hay fever and identifies associated risk factors using the mobile health platform, AllerSearch.
View Article and Find Full Text PDFAlzheimers Dement
September 2025
Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, South Korea.
Introduction: We developed and validated age-related amyloid beta (Aβ) positron emission tomography (PET) trajectories using a statistical model in cognitively unimpaired (CU) individuals.
Methods: We analyzed 849 CU Korean and 521 CU non-Hispanic White (NHW) participants after propensity score matching. Aβ PET trajectories were modeled using the generalized additive model for location, scale, and shape (GAMLSS) based on baseline data and validated with longitudinal data.