Search results for "FHIR": 1,661 articles
Digital health specialist Michael Anywar developed two open-source tools, ALUR and CohortMailer, designed to transform clinically relevant openEHR data into standardized outputs (FHIR/CSV). These tools address persistent challenges in data extraction and processing for the digital health community.
This article explains the setup process for 'Basic Access Authentication,' which is the simplest method for programmatic interaction with the Aidbox API. It details how to set the Authorization header using client ID and secret, and provides specific steps for registering FHIR resources (Client, AccessPolicy).
People Tech Group Inc offers a consulting service combining Azure Health Data Services and AI. This automates Revenue Cycle Management (RCM) using FHIR resources, targeting dental and outpatient clinics.
This article introduces 'FHIRInsight,' a tool that utilizes the FHIR standard combined with AI and vector search. The system aims to support decision-making for both healthcare professionals and patients by presenting complex blood test data in an easily understandable format.
InterSystems hosted a technology bonuses event focused on FHIR and Digital Health interoperability.
Fire Arrow is a FHIR application backend designed for digital health products, offering built-in features like Authentication (Auth), Role-Based Access Control (RBAC), and GraphQL API. It allows developers to bypass initial challenges such as data modeling and compliance, enabling rapid product development.
Based on information from interop.esante.gouv.fr, this document explains a set of resources conforming to specific profiles. It is a collection of resources encompassing two profiles (StructureDefinition) named Ror-organization-drop-zone, defining concrete structures and constraints.
本記事は、Google Cloud Healthcare APIを利用し、FHIRストレージ内の資源タイプ別・総量の各種指標を確認する方法を解説している。ユーザーはコンソール操作やgcloudコマンド、REST APIを通じて、データ量やリソースの成長傾向を追跡できる。
The Mobile Antepartum Summary (mAPS) has defined the critical clinical information, 'Prior Menses Date,' conforming to the FHIR standard. This enables data exchange in a unified format across healthcare institutions, contributing to improved continuous patient care.
Sonata Health offers an assessment service for data interoperability using FHIR standards, leveraging Azure Health Data Services. This service enables the integration and analysis of data from diverse systems such as hospitals and pharmacies.
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.