1,676 FHIR-related articles (latest first)
This system records various events that occur during the process of a medical message traveling from its sender to its receiver, allowing for tracking and management of delivery status. This ensures transparency and auditability throughout the entire message flow.
SeeYouDoc is developing a Proof-of-Concept (PoC) for a Referral Tracking System (RTS) using HL7 FHIR, leveraging insights from the Digital Health Interoperability Bootcamp. This guide details the technical steps required to integrate Electronic Medical Records (EMRs) and push referral data into the RTS.
The article discusses the utilization of FHIR Terminology Services to ensure consistent representation of clinical data.
This article guides users on building a patient management EHR (Electronic Health Record) based on the FHIR standard using AI tools. It demonstrates that even non-programmers can develop practical medical applications in a short time by utilizing a locally set up FHIR server and an AI coding editor.
Sagnik Bhattacharya, CEO of Rhapsody, emphasized the critical importance of interoperability in digital health. He explained the necessity of a platform that bridges gaps between healthcare information systems through data integration and semantic terminology management.
InterSystems developed an ETL process to map data from FHIR standards to the OMOP common data model.
FHIR (Fast Healthcare Interoperability Resources) is gaining attention as a solution to the challenges of information exchange among healthcare systems. The article emphasizes the growing importance of data sharing and system integration, alongside discussing recent trends like electronic health records and AI utilization.
In FHIR, the Conditional Update mechanism allows resources to be updated using a search URL instead of a direct ID. The server first performs a search; if a resource matches, it is updated, otherwise, a new resource is created.
InterSystems has released a new video detailing the implementation case study of its FHIR Server and FHIR SQL Builder within Israel's Ministry of Health. The presentation, given by Keren Skubach, outlines how these tools addressed various critical national initiatives.
専門家は、市販のFHIRサーバーはあくまで出発点に過ぎず、実際の臨床データ処理を行うためには独自の追加開発が必要だと指摘。特に高度なビジネスロジックやセキュリティ機能の実装が課題となる。
John Snow Labs, an AI for healthcare company, announced its participation in the 2025 HIMSS Global Health Conference & Exhibition. The CEO and team will present on state-of-the-art capabilities in healthcare AI with partners including Databricks, Carahsoft, and AWS.
本記事は、HL7 FHIR規格における`DocumentReference`リソースの具体的な利用方法を解説している。DELETE、GET（検索）、POST、PUTといった各種CRUD操作を通じて、電子文書参照の作成、取得、更新、削除の流れが示されている。
Firely compiled responses to insightful questions from a recent webinar on 'CQL and the Future of Quality Measures.' The discussion covered technical challenges regarding FHIR/CQL adoption in Europe, addressing issues like varied data models and transitioning eCQMs (electronic clinical quality measures) to CQL/FHIR.
This article explains the necessity of standardized frameworks for healthcare data sharing, highlighting how HL7 FHIR fulfills this role. It also introduces AERIS, a solution that helps solve challenges such as connecting legacy systems with FHIR-compliant platforms and addressing data quality issues.
This article explains the FHIR Observation resource type, detailing the proper use of the component list for storing complex data. It warns against incorrectly grouping multiple independent values into a single observation record.
DrapCode enables the development of secure, scalable healthcare applications by integrating with Infor's FHIR server, allowing seamless data exchange without requiring specialized coding knowledge. This facilitates interoperability between hospitals and clinics.
Interoperability is central to the digital transformation of healthcare. FHIR (Fast Healthcare Interoperability Resources) has emerged as a critical standard enabling seamless data exchange, but its implementation faces challenges like legacy systems and regulatory compliance, requiring strategic adoption.
Pegasus One explains that integrating AI with FHIR (Fast Healthcare Interoperability Resources) makes its adoption smarter and more effective. By applying AI to processes like data mapping and validation, it enables the exchange and utilization of complex healthcare data.
InterSystems announced a video detailing how the Israeli Ministry of Health utilized InterSystems FHIR Server and FHIR SQL Builder to overcome challenges in major national healthcare initiatives.
AgentCare, developed by Kartha-AI, utilizes SMART on FHIR APIs to achieve EMR integration with systems like Cerner and Epic. This enables authentication and data access, while also providing advanced medical research capabilities such as searching PubMed articles.