FHIR Becomes HIPAA Standard: Epic's Adoption is the Key
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.
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Search results for "FHIR": 3,717 articles
FHIR Standard: Definition of Simple Observation Category CodeSystem (JP Core)
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.
Trust & Compliance — GDPR, HIPAA, ISO 27001, SOC 2, FHIR | DESHA.AI
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。
Option to Skip Resource Structural Validation Added in FHIR v2026.2
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.
Why the interoperability deadline won't be a finish line: Building trust is key
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.
NHI expands LOINC fields and pilots data upload at medical centers
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.
From Development to Clinical Practice: Deploying an Interoperable and Secure ML-based CDSS for Early Sepsis Detection
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 Resource Validation and Generation Environment Released: Developer Toolkit
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.
Understanding FHIR Profiling and Validation Mechanisms
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.
Comprehensive Guide to FHIR: From Core Concepts to Clinical Resources for Healthcare Interoperability
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.
Transformation from QFDD to eHealth Questionnaire Released
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.
How to use the $millis() function: Explanation of milliseconds retrieval using JSONata
This article explains the `$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.
Learn | FHIR.sk
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。
Hui-Chih Develops Growth Strategy Centered on Reproductive and Cancer Precision Medicine
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.
Hui-Chi Gene Accelerates Growth in Precision Medicine and Digitalization: Unveils Multi-faceted Strategy Including FHIR Compliance
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.
吳漢章：「健康台灣」產業化的關鍵一步 - 財訊
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。
FHIR ValueSet: Intersection of Referenced Item Category and Document Class Codes
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.
Intersection of Participation Role Type and Participation Role Type
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.
Healthcare Integration | HL7 FHIR DICOM Telehealth - Xziry
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。
Distributed Drug Safety Analysis Using EHR Data from German University Hospitals: The POLAR_MI ETL Pipeline and FHIR Application
The Medical Informatics Initiative (MII) conducted a large-scale, distributed analysis using data from various university hospitals to detect risks associated with polypharmacy. Researchers developed an ETL pipeline based on HL7 FHIR standards and employed decentralized statistical methods to integrate and analyze vast clinical datasets from multiple institutions.