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Enhancing Interoperability for a Sustainable, Patient-Centric Health Care Value Chain: Systematic Review for Taxonomy Development

Enhancing Interoperability for a Sustainable, Patient-Centric Health Care Value Chain: Systematic Review for Taxonomy Development

Previous reviews on interoperability have not focused on specific industries such as health care, nor have they consistently provided structured classifications. One review addressed user model interoperability but lacked a systematic approach [17]. Another study examined evaluation models of interoperability, categorizing 12 models across 4 granularity levels [10]. While this study mentioned interoperability attributes, these were not developed through a systematic procedure [10].

Carlos Antonio Marino, Claudia Diaz Paz

J Med Internet Res 2025;27:e69465

Fast Healthcare Interoperability Resources (FHIR)–Based Interoperability Design in Indonesia: Content Analysis of Developer Hub’s Social Networking Service

Fast Healthcare Interoperability Resources (FHIR)–Based Interoperability Design in Indonesia: Content Analysis of Developer Hub’s Social Networking Service

To facilitate this exchange, HIE requires a data exchange or data interoperability framework that provides a standardized format for transferring health data [2]. One of the organizations that provides such interoperability frameworks is Health Level Seven (HL7) [3]. HL7 is a nonprofit organization that develops interoperability frameworks, such as HL7 FHIR (Fast Healthcare Interoperability Resources). It is a newer standard that provides a modern and flexible approach to exchanging health information.

Lukman Heryawan, Yukiko Mori, Goshiro Yamamoto, Naoto Kume, Lutfan Lazuardi, Anis Fuad, Tomohiro Kuroda

JMIR Form Res 2025;9:e51270

Bridging Data Silos in Oncology with Modular Software for Federated Analysis on Fast Healthcare Interoperability Resources: Multisite Implementation Study

Bridging Data Silos in Oncology with Modular Software for Federated Analysis on Fast Healthcare Interoperability Resources: Multisite Implementation Study

In Germany, the Medical Informatics Initiative (MII) has established a large-scale data sharing network [19] based on electronic health record data from university hospitals, using the Health Level 7 (HL7) Fast Health care Interoperability Resources (FHIR) standard for data integration [20]. Hospitals harmonize heterogeneous clinical data in local data integration centers (DICs) nationwide, and a central portal has been established to access this data [21].

Jasmin Ziegler, Marcel Pascal Erpenbeck, Timo Fuchs, Anna Saibold, Paul-Christian Volkmer, Guenter Schmidt, Johanna Eicher, Peter Pallaoro, Renata De Souza Falguera, Fabio Aubele, Marlien Hagedorn, Ekaterina Vansovich, Johannes Raffler, Stephan Ringshandl, Alexander Kerscher, Julia Karolin Maurer, Brigitte Kühnel, Gerhard Schenkirsch, Marvin Kampf, Lorenz A Kapsner, Hadieh Ghanbarian, Helmut Spengler, Iñaki Soto-Rey, Fady Albashiti, Dirk Hellwig, Maximilian Ertl, Georg Fette, Detlef Kraska, Martin Boeker, Hans-Ulrich Prokosch, Christian Gulden

J Med Internet Res 2025;27:e65681

Integration of Psychiatric Advance Directives Into the Patient-Accessible Electronic Health Record: Exploring the Promise and Limitations

Integration of Psychiatric Advance Directives Into the Patient-Accessible Electronic Health Record: Exploring the Promise and Limitations

We explore the strengths and limitations of digital PADs and emphasize that for the innovation to work, it is essential that the PADs are interoperable, ideally integrated into each country’s health care data infrastructure via Fast Healthcare Interoperability Resources.

Julian Schwarz, Eva Meier-Diedrich, Matthé Scholten, Lucy Stephenson, John Torous, Florian Wurster, Charlotte Blease

J Med Internet Res 2025;27:e68549

Data Interoperability in COVID-19 Vaccine Trials: Methodological Approach in the VACCELERATE Project

Data Interoperability in COVID-19 Vaccine Trials: Methodological Approach in the VACCELERATE Project

Interoperability is defined as the ability of different information systems, devices, or applications to connect in a coordinated manner within and across organizational boundaries, enabling stakeholders to access, exchange, and cooperatively use data with the goal of optimizing the health of individuals and populations [1]. Interoperability standards provide a common language and set of expectations that enable interoperability between systems and devices.

Salma Malik, Zoi Pana Dorothea, Christos D Argyropoulos, Sophia Themistocleous, Alan J Macken, Olena Valdenmaiier, Frank Scheckenbach, Elena Bardach, Andrea Pfeiffer, Katherine Loens, Jordi Cano Ochando, Oliver A Cornely, Jacques Demotes-Mainard, Sergio Contrino, Gerd Felder

JMIR Med Inform 2025;13:e65590

How to Design Electronic Case Report Form (eCRF) Questions to Maximize Semantic Interoperability in Clinical Research

How to Design Electronic Case Report Form (eCRF) Questions to Maximize Semantic Interoperability in Clinical Research

Therefore, it should be optimized to enhance data quality and data interoperability. Ideally, a standard operating procedure is established initially for designing e CRFs.

Eugenia Rinaldi, Caroline Stellmach, Sylvia Thun

Interact J Med Res 2025;14:e51598

Electronic Health Record Data Collection Practices to Advance Standardization and Interoperability of Patient Preferences for Interpretation Services: Qualitative Study

Electronic Health Record Data Collection Practices to Advance Standardization and Interoperability of Patient Preferences for Interpretation Services: Qualitative Study

We used qualitative content analysis to identify key themes using the existing United States Core Data for Interoperability (USCDI) ONC New Data Element and Class Submission System, focusing on new data element submission requirements and emergent themes from gaps in the literature.

Krysta Heaney-Huls, Rida Shams, Ruth Nwefo, Rachel Kane, Janna Gordon, Alison M Laffan, Scott Stare, Prashila Dullabh

J Med Internet Res 2025;27:e62670