3,748 FHIR-related articles (latest first)
A healthcare client sought to manage FHIR data within their existing data lakehouse (Databricks). The article proposes an architecture using the Lakehouse//RT engine, demonstrating its high processing capability without needing a dedicated server.
CMS proposed making FHIR a new HIPAA standard for prior authorization. The success of this regulation depends heavily on its adoption and implementation by major EHR vendors like Epic.
jpfhir.jp has published the 'JP Core Simple Observation Category CodeSystem' to standardize classifications for Observation resources. This code system provides categories for diverse clinical observation data, such as social determinants and physical measurements, contributing to Japanese healthcare interoperability.
Desha.aiは、GDPRやHIPAAなどの国際的な規制に準拠しつつ、HL7 FHIR R4という最新の相互運用性標準を採用することで、安全かつポータブルな医療データ交換環境を提供している。
InterSystems has introduced an option to skip resource structural validation in v2026.2, aiming to improve the speed of FHIR payload ingestion. This feature is expected to significantly reduce time during large-scale data ingestion processes.
As the US healthcare industry races toward the January 1, 2027, interoperability deadline, focus remains on mere compliance. The true challenge lies in building a 'trusted scalable network' for data sharing, with CMS-Aligned Networks showing potential as the blueprint.
The National Health Insurance Administration (NHI) in Taiwan plans to expand the uploaded fields for the LOINC standard this year, starting with pilot implementations at major medical centers. This aims to standardize laboratory test data across all healthcare institutions and display this information in future platforms like 'Health Pass' and cloud drug records.
A research team developed a Machine Learning (ML)-based Clinical Decision Support System (CDSS) to aid in the early detection of sepsis. The system ensures interoperability and security by integrating with Electronic Health Record (EHR) data using standards like HL7 FHIR.
FHIR.sk has released a comprehensive toolkit for medical data exchange. This enables the creation, validation, and simulation of FHIR resources, allowing developers to build more advanced systems.
FHIR requires defining constraints (Profiles) for specific use cases and validating data against those constraints. This ensures structural and terminological integrity, enabling highly interoperable data exchange.
This article provides fundamental knowledge of modern healthcare interoperability, centered on FHIR (Fast Healthcare Interoperability Resources). It covers core concepts like REST API and Resource, alongside definitions of specific clinical resources such as Patient, Observation, and Condition.
The Danish eHealth Infrastructure has released an OperationDefinition that transforms the DK-HL7 Questionnaire Form Definition Document (QFDD) into an eHealth Questionnaire resource. This process structures the QFDD XML, contained within a FHIR DocumentReference, into a Bundle containing both the eHealth Questionnaire and Composition resources.
This article explains the `$millis()` function within the data transformation language JSONata. This function is shown to return the number of milliseconds since the Unix Epoch (January 1, 1970 UTC) as a number. Basic usage and type checking methods are demonstrated.
本ページは、HL7 FHIRを基盤としたヨーロッパの医療情報交換（eHealth）に関する包括的な知識提供を行う。特にスロバキニアの国内状況から、EUレベルでのEHDS対応やGDPR準拠のための技術的指針が網羅されている。
At a corporate briefing, Hui-Chih announced the deepening of its core businesses in maternal/fetal medicine and cancer precision medicine. In addition to policy dividends and technological upgrades, they are advancing digital transformation using FHIR to secure long-term growth momentum.
At a corporate briefing, Hui-Chi Gene announced that it is developing five growth engines—including maternal-fetal medicine and cancer precision medicine—and focusing on areas like policy utilization, technology upgrades, international cooperation, screening, and digital transformation. Notably, the company is advancing the construction of clinical data exchange systems through FHIR compliance.
専門家は、医療AIの実用的な価値は、医師の代替ではなく、煩雑な文書作成や行政プロセスを解放する「医療自動化」にあると指摘。台湾では、FHIR標準の採用が、AIを単なる「プロジェクト」から「プラットフォーム」へと進化させるための重要なステップとなっている。
A technical specification for HL7 FHIR's reference structure has been published. Specifically, it defines the set of codes common to two ValueSets: 'Referenced Item Category' and 'Document Class'. This provides foundational information for handling both referenced items and document classification in medical data.
A ValueSet is defined that contains the common codes from two different 'Participation Role Type' ValueSets. This provides a unified code system spanning multiple standard concepts.
Xziryは、サイロ化された医療データを抱える現場に対し、単一の統合レイヤーを提供します。これにより、EHRやPACSなどの既存システムとAIソリューションを安全かつ効率的に接続し、データ連携の複雑な課題を解決します。