RareLink:基于REDCap的可扩展罕见病互操作性框架——连接国际注册库与FHIR及 ...
本研究では、REDCapベースの「RareLink」というフレームワークが開発された。これは、国際的な希少疾患レジストリとFHIRやPhenopacketsといった標準規格を結びつけ、データ共有を可能にすることを目的としている。
3,748 FHIR-related articles (latest first)
本研究では、REDCapベースの「RareLink」というフレームワークが開発された。これは、国際的な希少疾患レジストリとFHIRやPhenopacketsといった標準規格を結びつけ、データ共有を可能にすることを目的としている。
By utilizing the FHIR standard, it becomes possible to bridge information gaps between payers (health plans) and healthcare providers, thereby improving care quality and building trust.
A data structure for collaborative teleconsultation (teleconsult) has been defined based on the HL7 FHIR standard. This 'BundleRelazioneCollaborativaTeleconsultoTransaction' resource profile aims to streamline medical information sharing between electronic health record systems and standardize remote diagnosis and collaboration processes.
This article provides a technical guide on the structure and usage of medical terminologies based on HL7 FHIR. It comprehensively covers fundamental concepts like CodeSystem and ValueSet, as well as advanced data retrieval methods using videos and multiple API endpoints.
Extensive efforts are underway to move electronic product information (ePI) onto FHIR, a transition expected to become mandatory. This shift promises substantial advantages not only for regulators and industry but also, critically, for end users like patients and healthcare providers. However, successful implementation requires careful steps, stakeholder communication, and alignment on phasing.
This article introduces the 'RareLink' framework, designed to solve the problem of interoperability among international rare disease registries. It aims to accelerate research by utilizing standardized data models like FHIR and Phenopackets for large-scale data sharing.
Tenasol offers solutions to convert various healthcare data formats into FHIR, the latest standard. This conversion is possible from a wide range of formats, including unstructured data such as images and PDFs, in addition to structured ones like X12/EDI, HL7v2, and HL7v3.
Health Language, Inc.が提供するFHIR準拠の用語サーバー「Health Language FHIR Terminology Services」は、医療データの管理、維持、マッピングを一元化し、最適化されたパフォーマンスを保証する。これにより、Azureクライアントは高品質で信頼できる相互運用可能な参照データにアクセスでき、ONC Cures Actなどの規制要件に対応できる。
This page, provided by NIH, serves as a reference for multiple code systems like UMLS, supporting the standardization and interoperability of medical data. It details how major standards such as FHIR and HL7v2/v3 are linked, along with usage notes for various code systems.
Trisotech announced that it can provide reliable, AI-powered clinical orchestration by combining the creativity of AI with governance based on BPM+ and HL7 standards. This utilizes industry standards like FHIR.
Healthcare data interoperability is the ability for different systems to seamlessly exchange and utilize patient data. This article explains FHIR, a next-generation standard that is key to solving this challenge.
A resource profile called PractitionerTeleconsulto has been published based on the HL7 FHIR standard. This defines data structures related to teleconsultation (remote care), providing concrete implementation guidelines for healthcare information exchange.
This article provides a technical guide on how to set up FHIR integration within the Cline tool. Users must use the provided JSON configuration example, tailored for operating systems like macOS, Windows, or Linux, and input it via the 'Add MCP Server' function. Crucially, restarting Cline is required after completing this setup.
The definition for a ValueSet titled 'Opiate Antagonists' has been published by NCQA PHEMUR. This ValueSet includes multiple drug codes related to opioid antagonists, such as buprenorphine and naltrexone, which aids in standardizing medical information.
The article compares Kong, a comprehensive API gateway, with Runbeam (Harmony), a secure data integration platform. Both platforms have distinct design philosophies and offer optimal solutions depending on the use case.
Sonata Software Ltd. offers an assessment service focused on healthcare data interoperability using FHIR. This service is designed to help organizations address data linkage challenges in the healthcare sector, aiding those in the early stages of implementation planning.
Providence and Humana are advancing healthcare interoperability by utilizing HL7 FHIR standards and Da Vinci Project Implementation Guides. The project aims to replace manual, fragmented data processes with automated, standardized data exchange, thereby improving the accuracy and efficiency of interactions between payers and providers.
Google Cloud has enabled the centralized processing of electronic health records (FHIR), diagnostic images (DICOM), and clinical messages (HL7v2) through the Cloud Healthcare API. This allows healthcare institutions to manage and utilize diverse data formats in an efficient environment.
This guide explains how to export messages from an HL7v2 data store within Google Cloud Healthcare API to a Pub/Sub topic. This method addresses the lack of automatic notification mechanism when new HL7v2 messages are imported into a data warehouse.
This article provides detailed instructions and code samples for updating the configuration (Pub/sub topic name) of a DICOM store using the Google Cloud Healthcare API. Developers can modify the notification settings of a DICOM store via API calls using major languages like Go, Java, and Node.js.