Search results for "FHIR": 1,661 articles
This article explains how clinical data, originating from systems like EHRs or lab platforms, can be made usable in other applications through standards such as APIs and FHIR. True interoperability is not merely file transfer; it is essential for supporting continuous care and improving patient safety.
This article outlines a three-stage architecture for automating and scaling 'member appeals' against denied healthcare claims. It details the technical approach, utilizing standards like FHIR and HL7, progressing from basic LLM wrappers through RAG implementation to specialized domain models.
This article reports on performance benchmarks for the FHIR server Aidbox, comparing two scaling methods: concentrating CPU cores in a single instance (vertical) versus distributing them across multiple instances (horizontal). The findings suggest that while vertical scaling offers superior raw throughput (RPS), a 2x4 configuration provides the best balance of high availability and efficiency.
Researchers proposed 'Infherno,' an end-to-end, agent-based framework for synthesizing FHIR resources from unstructured clinical notes. This system aims to enhance generalizability and accuracy in clinical data integration by utilizing LLMs and external tools.
Perplexity and Health AI are partnering to integrate AI analysis into electronic health records (EHRs) and wearable data. This aims to provide unified, actionable insights from diverse health sources, enhancing clinical decision-making.
A vulnerability was discovered in the Java implementation of HAPI FHIR, which implements the HL7 FHIR standard. Prior to version 6.9.0, sensitive HTTP headers, such as authentication credentials, could be leaked to unintended hosts during an HTTP redirect (30X response).
Winning HealthとOdin Healthは、2026年HIMSS Global Health Conferenceでの展示会を通じて、統合型医療AI共同ソリューションを国際市場に発表した。本ソリューションは、AIの効率性と人間の臨床的専門知識のバランスを取りながら、グローバルなスマートヘルスケア加速を目指す。
Winning Health and Odin Health unveiled a joint AI clinical solution at HIMSS26, focusing on FHIR-centric integration.
This paper addresses the challenge of healthcare interoperability constrained by fragmented information systems using proprietary data formats. It presents a reference architecture and integration pattern catalog for FHIR-enabled healthcare CRM systems, aiming to facilitate care coordination and clinical decision-making across organizational boundaries.
The Agoria/HL7 Belgium Academy is hosting a 'EHDS-on-FHIR 1 day academy' for professionals involved in Electronic Health Record (EHR) systems. The course aims to teach the use of interoperability standards like HL7 FHIR to address cross-border healthcare data exchange, which will be mandatory from March 2029.
Firely Server implements diverse features based on the FHIR Specification. It provides an environment supporting wide-ranging healthcare information exchange, including API access, document handling, terminology services, and bulk data export.
EthAum Venture Partners held its latest 'Healthcare Innovation Days,' evaluating nine startups tackling global health challenges. These companies faced rigorous scrutiny from 13 major decision-makers, including medtech giants and national government bodies, proving their technological capability and market viability.
Electronic Health Record (EHR) systems are foundational to modern healthcare but face challenges like poor interoperability, data security risks, and poor usability due to complex environments and evolving standards. The article identifies these key issues and proposes solutions such as improving API design and adopting user-centered design approaches.
TEHIK has released an implementation guide for 'Electronic Health Declarations' based on the FHIR standard, version 1.0.0. This guide provides detailed mapping information between specific extensions and resources, aiming to enhance data exchange structure and interoperability.
Healthcare institutions can eliminate data silos and improve clinical visibility by connecting medical devices with EHRs and analytics platforms. This integration, utilizing standards like HL7 and FHIR, prevents manual entry errors and forms the foundation for AI-driven predictive healthcare systems.
医療情報学の専門家は、FHIRなどの用語集に含まれる「その他（other）」や「不明（unknown）」といった残余カテゴリの使用に警鐘を鳴らしている。これらのコードは定義が曖昧で、用語集の更新に伴い意味が変化しやすく、過去のデータを静かに破損させるため、使用すべきではないと主張する。
Firely has published a list of endpoints for its servers, which conform to specific standards. This information is crucial for developers and system administrators utilizing APIs for patient and population services.
SMART on FHIR is crucial for securely integrating healthcare applications with EHR systems, but its implementation is complex. This article explains how using Descope simplifies the process by handling user authentication and consent management, allowing developers to focus on building FHIR apps.
オーストリアのHL7が、FHIR Messagingのリソースプロファイル「ATMessagingCommunicationRequest」に関する具体的な使用例を公開した。これは、診察文書（consultation document）の通信リクエストを扱うための構造化データであり、医療情報交換におけるメッセージングフローの実装指針を提供するものである。
This API provides a FHIR-compliant service for handling patient data consent forms, patient registration information, and third-party integrations. It utilizes REST architecture and requires OAuth2 for authentication.