Search results for "FHIR": 1,661 articles
To solve the problem of limited cross-border medical access, Europe is promoting the 'European Health Data Space (EHDS)'. This system standardizes and securely shares data like diagnoses and test results, making 'FHIR' an essential foundational technology.
HL7は、検査検体が入っているユニークな容器の状態を識別するためのコードシステム「Container Status (2.9 - 2.0.0)」を公開した。これは、電子カルテやラボ情報システム間のデータ交換において、検体の受け渡し状況（例：受領済み、処理中、完了など）を一貫して伝えるために利用される。
This study operationalized the conceptual model MIABIS using HL7 FHIR to address biobank data interoperability challenges. This enables the exchange of both organizational and sample-level data in a machine-readable format, promoting data utilization in biomedical research.
Nictiz organized events involving UvA students and policymakers to improve the interoperability of digital health data using standards like HL7 and FHIR. This effort emphasizes that data exchange is a means—not an end—to providing high-quality patient care.
Evotec offers the Next-Generation Analytical Data Flow Interface (NxADFI) to address pharmaceutical industry challenges regarding structured submission requirements. The system is compliant with PQ/CMC and HL7 FHIR, enabling automated, traceable, and secure data transfer from LIMS to client repositories.
Firely and Open Health Hub presented a webinar on how to utilize FHIR data to embed real-time insights directly within existing EHR workflows. This capability supports both clinical and operational decision-making processes.
FHIR IQ offers comprehensive interoperability solutions based on the FHIR standard for various sectors, including payers, providers, and aggregators. These solutions aim to improve operational efficiency and care quality in healthcare by automating prior authorization workflows and standardizing clinical data.
This article explains how utilizing HL7 FHIR (Fast Healthcare Interoperability Resources) enables the safe, consistent, and real-time exchange of clinical data. FHIR facilitates seamless integration across diverse healthcare services such as EHRs and telehealth systems, contributing to more efficient and connected care.
Healthcare leaders across the region point out challenges like data siloing and poor system interoperability. They propose that true transformation requires a robust digital foundation built on three layers: data integration, integrity assurance, and intelligence activation.
This document is part of the FHIR implementation guide for ABDM, providing a concrete example of the `Organization` resource in JSON format. The example defines a healthcare facility named "XYZ Hospital Co. Ltd.", detailing its identifier and contact information according to standard specifications.
本記事は、FHIR（Fast Healthcare Interoperability Resources）というAPIファーストの標準規格を用いて、Next.js 16を使用した実用的な患者ポータルの開発手順を解説している。読者は、FHIRリソース構造やRESTful APIの呼び出し方を学び、実際にデータ検索・表示を行うサービス層構築スキルを得られる。
This article provides a technical guide on how to conditionally delete FHIR resources using the Google Cloud Cloud Healthcare API. Developers can use programming languages like Go or Python to call the API, allowing them to manage and bulk-delete resources that match specific criteria (e.g., old data or changed status) within a dataset.
Eforto Health offers a data sharing solution utilizing the FHIR API. This service enables medical data exchange and is available with associated price lists.
The HAPI FHIR server provides data containing resource change history in XML format. This response includes operational records and metadata for specific basic resources.
Sprkz Collect converts static PDF enrollment forms into structured, actionable data. This accelerates patient access programs by eliminating manual entry errors and enabling efficient data management and workflow automation.
AirGate Technologies offers an integrated data analytics solution combining Azure Health Data Services and Azure Synapse. This enables healthcare providers and payers to analyze data from multiple, disparate systems, aiming for personalized care delivery and cost reduction.
As Artificial Intelligence (AI) expands into healthcare, challenges related to data acquisition, interoperability, and privacy are emerging. Solving these issues requires building a standardized 'single data platform' that integrates data from multiple sources.
A new fog-computing medical data gateway, the B-Health IoT Box, successfully demonstrated its ability to harmonize large volumes of health and well-being data from diverse devices. This marks a significant step toward building interoperable digital health ecosystems by addressing fragmented data streams and incompatible protocols.
Talend Data Mapper supports the import of FHIR specifications. For performance reasons, certain elements may be ignored during this process, but they can easily be recreated afterward.
Te Aho o Te Kahu has published a FHIR ValueSet defining the clinical N stage for female genital corpus uteri sarcoma, based on the AJCC cancer staging manual (8th edition). This resource standardizes the regional lymph node status (cN) before treatment initiation, aiding medical information exchange.