1,676 FHIR-related articles (latest first)
TGIのアフィリエイトであるAxina Groupは、AIとFHIRネイティブなアーキテクチャを採用した次世代の医療プラットフォーム「AX-Healthcare」を発表しました。本システムは、カザフスタンのADVENTスマートシティメディカルハブを起点とし、「ケアギビング経済」におけるデジタルオペレーティングシステムとなることを目指します。
Health Samurai has launched RCMbox, a modular, FHIR-native billing infrastructure platform for healthcare product teams. This tool aims to significantly reduce the effort and cost associated with building complex billing processes from scratch.
This article compares three major tools (Kodjin Profiler Tool, Firely Forge, Trifolia-on-FHIR) that assist with FHIR profile creation. It presents the unique features and platform differences of each tool, suggesting the optimal choice based on development team needs.
CENS launched digital health training programs for 43 professionals. The program covers topics such as HL7 FHIR standard implementation and healthcare information system management/architecture, aiming to improve interoperability and enhance care quality.
Addressing data fragmentation, this article discusses the importance of FHIR and API management. It proposes that a multi-layered architecture utilizing centralized API gateways (Apigee) is effective for both security and scalability, overcoming challenges inherent in traditional point-to-point integrations.
FirelyのEwout Kramer氏とWard Weistra氏は、FHIR DevDaysにおいて、LLM（大規模言語モデル）が普及する現代医療ITにおいて、構造化データの重要性がむしろ増している点を指摘した。データ標準化は「ステップゼロ」に過ぎず、真の課題は文脈を失わずに患者を越えるワークフロー構築にあると強調した。
Rohan Desai provides a comprehensive FHIR (Fast Healthcare Interoperability Resources) resource library and healthcare interoperability guide. The library covers key medical resources like Patient, Observation, and Medication, enabling exploration of data exchange methods based on HL7 standards.
TGI傘下のAxina Groupは、AIを活用した「AX-Healthcare」を発表。これは、カザフスタンのADVENTスマートシティ医療ハブ向けに展開され、高度な診断支援とケア提供の最適化を目指す。
TGI傘下のAxina Groupは、AI駆動型の医療プラットフォーム「AX-Healthcare」を発表しました。これは、国家レベルでの医療データを管理し、「物流としての人的資源」という課題に取り組むことを目的としています。
As the European Health Data Space (EHDS) approaches, the article raises a concern that mere system connection or compliance with standards is insufficient. The true challenge lies in transforming data into information that is 'readable,' 'understandable,' and 'actionable.'
This guide, HL7 Europe Extensions v1.2.0, provides a collection of extensions designed for use within the European Union (EU) region. It supports both HL7 FHIR R4 and R5 standards, covering multiple critical healthcare processes.
Minister of Health, Shi Chong-liang, revealed that the Taipei Medical University (BeiMed) system has expanded its long-term cooperation with friend nation Swadivini. Beyond clinical services and personnel training, they are now assisting in building medical information systems. Notably, the introduction of the international standard FHIR record format is advancing future AI utilization.
A terminology server is a dedicated FHIR service that hosts code systems and value sets, exposing standardized APIs. This allows applications to resolve, validate, and look up clinical terminology at runtime.
In FHIR, a RESTful API is the standard HTTP interaction layer that defines how clients read, create, update, search, and delete resources on a server. It serves as the practical mechanism for exchanging FHIR data.
PT Pilar Inovasi Informatika explains the importance of data exchange using FHIR and provides tutorial articles on specific operational efficiency improvements, such as clinic deployment and POS system implementation.
Anthropic's Claude Code utilizes the FHIR Developer Agent Skill to assist in developing and testing healthcare applications. This article explains how this combination functions, achieving a practical healthcare development workflow through integration with the NPI Registry connector.
This article details an architecture for utilizing Azure Health Data Services to convert and integrate data from legacy HL7v2 systems and various sources into FHIR R4. This enables complex medical data exchange and analysis.
Blockchain technology provides superior security, leveraging immutability and decentralized structures to overcome the limitations of traditional EHR systems. This enables automated workflows and secure data exchange across healthcare institutions, significantly improving overall medical efficiency.
PatientDatasets.com provides a synthetic patient dataset compliant with FHIR R4, supporting the development, testing, and interoperability validation of healthcare applications. This data is 100% synthetic and contains no Protected Health Information (PHI).
This recorded webinar presents product updates from Aidbox, showcasing tools to support the development of digital health solutions using FHIR. Key advancements include SQL on FHIR and label-based access control.