【亞太醫療永續轉型論壇】AI 協作「以人為本」的醫療轉型：臺日專家聚焦數據標準與臨床流程
2025年アジア太平洋永続医療論壇では、台湾と日本の医療専門家が集結。AIは人間の判断を補佐する「助攻者」であり、単なる代替物ではないという認識で一致した。台湾の健保署や日本大学病院など、各機関がデータ標準化（FHIR等）や低リスクからの導入を通じて人機協働を進める。
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AI-Powered FHIR Billing & Eligibility Automation for Clinics
People Tech Group Inc offers a solution combining Azure Health Data Services and AI. This service modernizes revenue cycle management (RCM) for dental and outpatient clinics, automating processes from billing to insurance handling.
Microsoft Marketplace
Latest Trends and Regulatory Compliance Guides for HL7 FHIR in Healthcare Data Interoperability
This article provides guidance on applying the FHIR standard to specific use cases, such as eCTD v4.0 and Veeva CRM/Epic EHR integration. It details solutions for international regulatory requirements and technical challenges in areas like pharmaceutical labeling (e-labeling) and clinical research data (eSource/ePRO).
FHIR ServiceRequest Example: JSON Representation of a Lab Order
This article presents the specific JSON format for a ServiceRequest resource within the MyHealth@Eu Laboratory Report. It explains how a blood test order (Hemoglobin and Hematocrit panel) is structured and utilized in electronic health record systems.
KR Core Implementation Guide: FHIR Example for Respiratory Rate (Vital Signs)
HL7 Korea has published a specific example of an FHIR Observation for respiratory rate, based on the KR Core Implementation Guide v2.0.0. This guide demonstrates how to structure and exchange vital sign data within medical records, adhering to the FHIR R4 standard.
HL7 Korea
AI Assistant Automates Medical Form Creation to Analytics Dataization
The AI Assistant in Aidbox Forms automates the entire workflow, generating FHIR-compliant Questionnaires, extraction logic, and analytics-ready ViewDefinitions from plain language requests. This significantly shortens the cycle of clinical form creation and improves data utilization efficiency.
Modernizing the healthcare enterprise, A beginners guide for startups
本記事は、ヘルスケア業界におけるデータ共有と相互運用性の課題を背景に、主要な標準規格（FHIR, HL7, IHEなど）について基本的な知識を提供する。特に、これらの技術がどのように医療データの構造化と交換を実現しているかを解説する。
CodeSystem: CCL Value (2.6 - 1.0.0) (Experimental)
HL7は、診断関連グループ（DRG）における臨床的複雑性レベル（CCL）を示すためのコードシステム「CCL Value」を公開した。これは、HL7 Version 2.xメッセージングのDG1セグメントで使用されるもので、米国での利用が想定されている。
Convert Any Data to FHIR: Curiflow's Universal Data Ingestion Solution
Curiflow offers a platform that automatically converts diverse healthcare data, including eFax, PDFs, and CCDA files, into the FHIR format. This solution significantly reduces development cycles while ensuring improved data quality and compliance.
Curiflow
Achieving Offline Capability with SMART on FHIR and Local-First Design
This article explains how to build a fast, privacy-respecting mobile clinical record system by utilizing the SMART on FHIR standard and implementing local-first storage (Hive). It presents architectural principles for stable data access in environments requiring multiple EHR integrations or weak network connectivity.
SMART on FHIRHive
Segment Group Technical Specification Released: FHIR v5.0.0 Support
HL7 has published the technical specification for a ValueSet (hl7VSsegmentGroupV500) defining segment groups. This code set is used to specify optional segment groups that should be included in a response.
HL7
How to Retrieve FHIR Resources using Google Cloud Healthcare API
This article explains how to programmatically retrieve FHIR resources using the Google Cloud Healthcare API. It provides detailed Go and Java code samples, demonstrating the process of accessing specified FHIR resources by utilizing parameters such as project IDs and dataset IDs.
FHIRGoogle Cloud
HL7 v2+ Vocabulary Releases 'Action Code' Specification (Experimental)
HL7 has released the v2+ vocabulary for 'Action Code,' which indicates record operation status in healthcare information exchange. This is particularly used when a method to correct vaccination information transmitted with incorrect patient identifying information is needed, such as in vaccine messages.
HL7 InternationalFHIR Standard
How to Apply a Patch to an FHIR Resource using Cloud Healthcare API
The article demonstrates how to update (patch) an FHIR resource using the Google Cloud API with JSON Patch format. Developers can learn specific implementation steps by referencing the provided code sample.
Google CloudFHIR
SMART on FHIR, Coverage Resource, and CDS Hooks: Advancing Healthcare Interoperability
SMART on FHIR utilizes the FHIR standard to embed applications into EHRs, enabling access to patient data. The integration of the Coverage resource (for insurance contracts) and CDS Hooks (for workflow interventions) enhances clinical decision support and payment process transparency.
SMART on FHIRFHIR
How to Integrate FHIR Data into Microsoft Fabric for Health Data Solutions
This module explains how to ingest clinical data in FHIR format and integrate it into Microsoft Fabric data solutions. Learners will understand how standardized health data can be analyzed using unified folder structures and various ingestion approaches.
NUEVA CONCVOCATORIA TALLER FHIR DICIEMBRE 2025 - HL7 Spain |
HL7 Spainが、2025年12月にFHIRとHL7に関するワークショップの開催を告知した。過去および将来にわたる複数の関連イベント情報も掲載されている。
Digital Transformation in Indonesia's Healthcare System: Challenges and Prospects
WHO and experts position health as the foundation of national development. In Indonesia, a national electronic health platform called 'SATUSEHAT,' utilizing international standards like HL7 FHIR, is being promoted to eliminate data silos and improve efficiency. However, addressing challenges such as digital disparity, privacy protection, and human resource development remains urgent.
How to Get FHIR Store Capabilities Statement on Google Cloud
This document details the procedure for retrieving metadata (Capabilities Statements) of a FHIR store using the Cloud Healthcare API on Google Cloud. It serves as a technical guide, providing developers with concrete code samples to advance standardized medical data utilization and interoperability.
Google Cloud
FHIR to X12 278 Workflow Demo: Automating Prior Authorization Processes
This article details a technical workflow that ingests FHIR JSON data, converts it through XML, and maps it into the X12 278 (Prior Authorization) format. The process demonstrates how to achieve automated, end-to-end transformation, including mapping, SNIP validation, and final target delivery.