1,676 FHIR-related articles (latest first)
The FEvIR platform has provided a comprehensive 'ConceptualCohortDefinition' for various drug groups used in diabetes treatment (including SGLT-2 inhibitors, GLP-1 receptor agonists, etc.). This allows multiple drug classes with diverse mechanisms of action to be defined as a single group, contributing to the efficiency of data analysis and research.
Microsoft has published the latest technical information regarding its FHIR API. As the API is scheduled for deprecation on September 30, 2026, users are advised to migrate to the FHIR® service within Azure Data Services Integrity. Furthermore, multiple bug fixes and performance enhancements were implemented in 2025, including improvements to $expand and re-indexing processes.
Google has released the first Beta 1 version of Android 16. This version enhances medical data handling through the Health Connect app, enabling reading and writing of electronic health records in the FHIR standard format.
The org.hl7.fhir.publisher package, a crucial component of the HL7 FHIR ecosystem, has been found to have an XML External Entity (XXE) injection vulnerability. This flaw poses a risk of sensitive data leakage from the host system through the processing of malicious XML files.
GoSmart.Health provides development support for mobile and web applications that integrate Electronic Health Records (EHR) systems with clinical imaging data (DICOM). They assist hospitals and AI startups in building solutions ranging from accurate, fast care context provision to comprehensive AI model development using integrated data sources.
This article provides a detailed tutorial on customizing the 'Bundle' resource using the FHIR JSON schema. It teaches developers how to manually add missing elements, such as Medication and MedicationRequest, to an existing structure.
FEvIRプラットフォームは、Characteristic Resourceを生成・表示するためのツール「Characteristic Builder/Viewer」に関する最新の仕様変更（リリースノート）を発表した。本機能は、FHIRリソースの構築と閲覧を容易にし、医療データ交換における標準化に貢献する。
Pegasus One offers multiple FHIR-related packages to support system modernization and application development in the healthcare sector. These options range from basic integration to advanced app development and strategic advisory services.
Pegasus One offers multiple pre-designed packages to assist with the modernization and application development of healthcare information systems. These options range from basic integration support to advanced feature development and strategic compliance advisory.
This study proposes using Large Language Models (LLMs) for semantic Question Answering over vast Electronic Health Records (EHRs). It demonstrates that privately hosted, fine-tuned LLMs outperform benchmark models in performance while ensuring privacy.
The Fast Evidence Interoperability Resources (FEvIR) Platform has implemented advanced features through continuous API updates, enabling the handling of multiple FHIR resources. This improves the flexibility of medical information exchange by allowing single concept retrieval and integration with complex research data (such as ClinicalTrials.gov).
The healthcare industry is racing toward full interoperability, centered on FHIR. Pairing this with AI transforms FHIR from a mere data exchange protocol into a dynamic and intelligent ecosystem.
FHIR (Fast Healthcare Interoperability Resources) is recognized as a critical standard for connecting disparate healthcare systems. While facing technical challenges like legacy infrastructure and data non-standardization, it also offers immense opportunities to transform care through AI integration and patient empowerment.
In the healthcare IT sector, Fast Healthcare Interoperability Resources (FHIR) plays a central role, enabling secure data exchange using RESTful APIs. This technology is advancing efficiency and standardization across various healthcare domains, such as EHR integration and remote patient monitoring.
Talend Data Mapper supports importing the FHIR specification. While certain elements are ignored during JSON Schema import to reduce system load, these elements can be easily added to the structure afterward.
The HL7 FHIR IG Publisher, a tool for creating Implementation Guides (IGs) for the FHIR standard, was found to have a vulnerability. When using Git commands and cloning repositories, sensitive user credentials (like usernames and passwords) can be inadvertently exposed within the generated IGs.
HL7 FHIR is an international standard enabling electronic healthcare information exchange using modern web technologies. This article explains how FHIR can be utilized for legacy content conversion and building digital health applications within the pharmaceutical and life sciences sectors.
Google has enhanced medical data handling in the new Android 16 beta version via the Health Connect app. This enables reading and writing of data in the FHIR format, facilitating privacy protection and integration into applications.
As AI technology rapidly advances, ensuring ethical risks and system reliability is crucial for adoption in healthcare. Developers must build stakeholder trust through obtaining independent certifications and transparent risk management.
Computable Publishing LLC has released information regarding FEvIR®: Resource Viewer v1.14.0, which utilizes FHIR and EBMonFHIR IG. This system is available as of June 2026 and provides resource viewing functionality based on the latest technical standards.