Search results for "FHIR": 1,661 articles
South-East Asian countries gathered at RODHS 2025 to plan the next phase of digital health transformation. Participants discussed adopting open standards like FHIR to build connected, standardized systems for regional healthcare data exchange and improved care delivery.
Google Cloudは、Pythonコード範例を通じて、FHIR規格に基づくEncounter（診療記録）リソースをクラウド上で作成する手順を提供している。本機能を利用することで、電子カルテシステムにおける特定の診療イベント情報を標準化された形式で管理できる。
南東アジア諸国の医療リーダーたちが、ローディエスの場で集結し、次期デジタルヘルス変革の計画に焦点を当てた。彼らは、連携可能で標準に基づいた健康システムを構築することを目指している。
The 2nd Regional Open Digital Health Summit 2025, held in India, gathered government officials and tech innovators from the South-east Asia region. Participants discussed leveraging Digital Public Infrastructure (DPI), open standards, and Generative AI to achieve Universal Health Coverage (UHC).
Leaders from South-East Asian countries gathered at the Regional Open Digital Health Summit (RODHS) 2025 to plan for safe and open data exchange. The nations agreed on adopting the FHIR standard, while also emphasizing the critical importance of governance alongside technology.
The Regional Open Digital Health Summit (RODHS) 2025 was held in New Delhi, gathering leaders from South-East Asian nations, governments, and international bodies. The focus was on establishing collaborative governance and interoperable platforms to achieve Universal Health Coverage.
This article explains how to configure 'expansion maps' used to transform hierarchical JSON data into Dataverse's relational model. This allows complex JSON attributes to be mapped to multiple, related Dataverse attributes.
Appian and Ignyte Group announced their win at the global HL7 AI Challenge for their "Bring AI to Work(flow)" solution. This platform aims to transform clinical and operational workflows within public health agencies and healthcare systems by embedding multiple types of AI.
This research proposes FHIRconnect, a novel Domain-Specific Language (DSL) and open-source transformation engine to address interoperability challenges between openEHR and HL7 FHIR. This enables standardized, bidirectional data exchange across both healthcare standards.
This paper proposes FHIRconnect, a novel domain-specific language (DSL) and transformation engine, to address the interoperability challenges between openEHR and HL7 FHIR caused by fundamental data modeling differences. It enables standardized, bidirectional data exchange, providing a technical foundation for advancing semantic interoperability in healthcare IT systems.
True Electronic Health Record (EHR) integration requires 'semantic interoperability,' not just basic data connectivity. This article explains the characteristics and appropriate use cases of technologies ranging from legacy HL7 v2 to modern FHIR, demonstrating how to effectively utilize medical data.
This paper addresses the interoperability challenges between openEHR and HL7 FHIR due to fundamental differences in their data modeling. It proposes FHIRconnect, a novel domain-specific language (DSL) and open-source transformation engine that enables standardized, bidirectional data exchange. This framework aims to bridge critical interoperability gaps by leveraging international archetypes.
本研究では、REDCapベースの「RareLink」というフレームワークが開発された。これは、国際的な希少疾患レジストリとFHIRやPhenopacketsといった標準規格を結びつけ、データ共有を可能にすることを目的としている。
A data structure for collaborative teleconsultation (teleconsult) has been defined based on the HL7 FHIR standard. This 'BundleRelazioneCollaborativaTeleconsultoTransaction' resource profile aims to streamline medical information sharing between electronic health record systems and standardize remote diagnosis and collaboration processes.
This article provides a technical guide on the structure and usage of medical terminologies based on HL7 FHIR. It comprehensively covers fundamental concepts like CodeSystem and ValueSet, as well as advanced data retrieval methods using videos and multiple API endpoints.
Extensive efforts are underway to move electronic product information (ePI) onto FHIR, a transition expected to become mandatory. This shift promises substantial advantages not only for regulators and industry but also, critically, for end users like patients and healthcare providers. However, successful implementation requires careful steps, stakeholder communication, and alignment on phasing.
This article introduces the 'RareLink' framework, designed to solve the problem of interoperability among international rare disease registries. It aims to accelerate research by utilizing standardized data models like FHIR and Phenopackets for large-scale data sharing.
Tenasol offers solutions to convert various healthcare data formats into FHIR, the latest standard. This conversion is possible from a wide range of formats, including unstructured data such as images and PDFs, in addition to structured ones like X12/EDI, HL7v2, and HL7v3.
Trisotech announced that it can provide reliable, AI-powered clinical orchestration by combining the creativity of AI with governance based on BPM+ and HL7 standards. This utilizes industry standards like FHIR.
Healthcare data interoperability is the ability for different systems to seamlessly exchange and utilize patient data. This article explains FHIR, a next-generation standard that is key to solving this challenge.