1,677 FHIR-related articles (latest first)
This paper addresses the challenge of defining common standards for structured healthcare data content and data transport between systems. It focuses on the HL7 FHIR protocol to explore the potential of integrating Artificial Intelligence (AI) into data exchange.
Google announced MedGemma, an open family of AI models designed to understand medical texts and images. These models are expected to assist in clinical decision-making by integrating with tools like web search and FHIR interpreters.
Elderwise supports interoperability by enabling structured geriatric assessment data to flow into compatible Electronic Health Record (EHR) systems using FHIR-based data exchange. This streamlines data management within healthcare institutions.
Axians Digital Healthcare, the digital health subsidiary of Vinci Energies, has formed a strategic partnership with five startups in the ecosystem. This collaboration officially commercializes its interoperability platform, Poseï, which aims to facilitate access to national core health insurance services.
This article technically explains how to delete a FHIR service (using `Remove-AzHealthcareFhirService`) within the Microsoft Azure environment. Developers can use this cmdlet to manage and remove FHIR service resources in specific workspaces.
FHIR (Fast Healthcare Interoperability Resources) provides a standardized API and data model to handle fragmented medical data across EHRs, lab systems, and mobile apps. This helps prevent delayed diagnoses and duplicate tests, thereby improving patient safety.
This article guides developers on implementing the FHIR standard to achieve seamless patient data exchange in healthcare settings. By following steps such as selecting appropriate profiles, setting up servers, and mapping data, interoperability and data utilization efficiency can be significantly improved.
This page displays the definition of a SNOMED CT Value Set that aggregates various procedures related to hemodialysis, including those relevant during COVID-19. It contains codes covering multiple types of dialysis and maintenance care, serving as a resource for standardizing medical information.
Addressing the challenge of siloed medical data, this article introduces advanced data integration strategies utilizing standards like HL7 and FHIR. It highlights real-time data sharing and API management to achieve a more efficient, patient-centered care system.
For healthcare organizations aiming for smooth data interoperability, choosing the right standard is crucial. This article compares the fundamental differences between the legacy message-based HL7 V2 and the modern API-centric FHIR, detailing their respective strengths and limitations.
InterSystems has launched voting for its annual FHIR and Digital Health Interoperability Contest, encouraging the developer community to evaluate outstanding applications. Participants vote through both expert nominations and general community votes.
Apple has published detailed guidelines on the process for healthcare organizations to register FHIR API endpoints, facilitating the sharing of health record data. The guide provides comprehensive steps from application submission and testing through to final publication for developers and organizations.
This article explains how to manage FHIR services within the Microsoft Azure environment. Specifically, it provides the syntax and procedures for safely deleting a FHIR service resource using the `Remove-AzHealthcareFhirService` PowerShell cmdlet. This capability allows developers to perform lifecycle management on FHIR resources built in Azure.
The InterSystems Developer Community released a new video detailing the setup of an OAuth 2.0 server. The video guides users through building the OAuth 2.0 server using Auth0 and Okta solutions.
This document is a reference for an EvidenceVariable, defining pharmacokinetics data for Liraglutide from the clinical trial NCT01725126. Given that blood samples were collected at multiple time points before and after administration (up to 24 hours), it defines the necessary data structure to specify the exact time Cmax was observed.
Laura Blázquez García of Cysnet introduced 'FHIRCraft,' a lightweight tool for generating synthetic FHIR resources. Unlike large-scale patient history simulations, this tool is designed specifically for testing and validating specific FHIR resource types (such as Patient or Observation).
FronMed provides services to seamlessly integrate multiple healthcare IT platforms, such as EHR/EMR, PACS, and HIS, creating a unified clinical environment. Utilizing standards like HL7 and FHIR, the goal is to improve operational efficiency and patient care through real-time and secure data exchange.
This page provides information regarding the 'Gazelle Platform,' which is associated with the healthcare interoperability standard, IHE (Integrating the Heathcare Enterprise). The developers provide version details, usage guidelines, and mechanisms for inquiries and issue reporting, promoting continuous improvement.
本記事は、医療データにおける「年齢不一致」という推論タイプについて詳細に説明している。患者の記録上の年齢とリクエストに含まれる年齢が異なる場合に発生する問題であり、FHIRなどの標準規格に基づいた検証方法を示す。
This page aggregates and tracks the latest FHIR MCP (Master Client Provider) server information from various internet sources, showcasing highly popular resources used within the community. The services offered range widely, including reference data containing drugs and diagnoses, access to EMR systems, and integration tools with HL7/DICOM.