3,748 FHIR-related articles (latest first)
This article details the extension of the AI-powered FHIR patient data summarization tool, 'FHIR Patient Snapshot Agent.' The developer added source context vector search functionality and IRIS-compatible embedded Python artifacts, enhancing its utility as a clinical summarization prototype.
国家科学技術委員会（國科會）は、デジタル開発部や衛生福利部と連携し、「大南方AI智慧健康展」を開催した。本展では、AIを活用した智慧照護、復能、健康監測、在宅医療など120項目を超える多様な応用事例が展示された。
HiPaaSの「FHIRFlo」は、HL7やCCDAなど多様な形式の電子カルテデータやファイル（CSV, PDF等）をAIを用いて自動的にFHIR R4標準に変換します。これにより、臨床データを一元管理し、コンプライアンスを遵守したAPI経由でのセキュアなアクセスを実現することで、米国の規制対応を支援します。
The Danish eHealth Infrastructure published implementation examples for the 'ehealth-group-videoappointment' resource profile, based on FHIR standards. This technical definition is designed for data exchange regarding group video appointments and contributes to ensuring interoperability in telemedicine.
This article explains the usage of various functions provided by FUME (FHIR Coverter). Specific methods are detailed, including ID retrieval functions like $resourceId() and $literal(), as well as $search() for executing queries against a server, and $resolve() for resolving references.
A research paper details the development and validation of an open data model aimed at achieving semantic interoperability in pharmacogenomics for clinical practice. The model integrates genetic and disease information, aiming for integration into electronic health records (EHR).
The state of Vermont secured $195 million in funding for its Rural Health Transformation Program (RHTP). This funding will enable the construction of a FHIR-native platform focused on mobile integrated health and specialty telehealth.
Firely Auth uses the $fhirUser-lookup custom operation to look up FHIR users (Patient or Practitioner) using claims from external identity providers or local information. This overcomes the limitations of traditional system-level searches, enabling more accurate user identification.
InterSystems has launched FHIR Agent Studio, a developer portal for building AI agents into FHIR workflows. This tool allows users to build and run small clinical workflows—from trigger to action—on a single backend while tracing every step of the process.
The Taiwan Ministry of Health and Welfare is promoting a 'Next-Generation Digital Medical Platform' in collaboration with institutions like Yale University. The deep integration of expert guidelines into Clinical Decision Support Systems (CDSS) is shifting the industry from mere data storage to a 'human-machine co-governance' model.
According to Black Book Research's survey, Health Gorilla achieved the highest rating for interoperability and FHIR/API in its 2026 'State of Payer Digital Technology.' This highlights that platforms which reduce data entropy and make data usable across clinical and administrative systems are highly valued.
The eHealth Infrastructure has released the 'Decision context' extension specification in version 6.0.1, based on FHIR. This specification helps structure information related to clinical decision-making processes, improving the clarity of context in healthcare data exchange.
To address the challenges of medical information sharing, HL7 standards have continuously evolved. This article compares and explains the evolution from message-based HL7 v2, through HL7 v3 with a more advanced semantic structure, to FHIR's web-based approach using RESTful APIs.
FHIR標準に基づき、PluginProcedureリソースが公開されました。これは2026年2月27日時点の情報であり、IG 2024+ PLUGINパッケージを基に構築されています。
The 'Southern Taiwan AI Smart Health Expo' was held in Tainan, demonstrating the region's expansion from semiconductors into AI healthcare. The government plans to standardize electronic health records across all of Taiwan, expanding coverage to primary care by 2028.
Real Hospital Português, with the support of technology partner Sensedia, implemented an advanced interoperability system based on HL7 FHIR standards between itself and Recife's public health network. This enables safe, structured exchange of patient information, contributing to improved healthcare delivery.
This article analyzes the importance of 'production readiness' for developing AI-powered telehealth products. It argues that success in enterprise adoption hinges not merely on adding features, but on foundational design elements like data infrastructure, compliance, and AI governance.
The Ministry of Health (MOH) has completed and released a comprehensive LOINC crosswalk table specific to Taiwan. This initiative addresses inconsistencies in hospital testing data formats, covering nearly 99% of subsidized tests, thereby establishing a national standard language crucial for medical AI and FHIR interoperability.
eHealth Infrastructure published the FHIR-based code system 'Publication Status'. This system defines the lifecycle status (draft, active, retired, etc.) of medical resources or concept maps, aiming to enhance data reliability during exchange.
This article provides technical instructions for setting up an International Patient Summary (IPS) node. It details a comprehensive system architecture including a FHIR R4 server, a PostgreSQL database, and multiple gateway services.