1,676 FHIR-related articles (latest first)
This page provides information regarding the 'External Validation Service Front-end,' promoted by IHE (Integrating the Heathcare Enterprise). The system aims to change how healthcare information connects, with development attributed to INRIA and KEREVAL/MIR.
Healthcare organizations require speed and accuracy to deliver quality patient care, but they face challenges from fragmented systems and manual data entry. This article explains how the development of intelligent, interoperable healthcare software products can solve these workflow issues and significantly improve clinical efficiency.
The author utilized WSO2's Ballerina Health Tool to address developer challenges in healthcare integration. Specifically, they identified and corrected a documentation inconsistency regarding incorrect FHIR resource display in CDS Hooks response examples.
FHIR enables seamless interoperability by connecting fragmented data from sources like EHRs and lab systems. This facilitates open, standardized healthcare information exchange among hospitals, payers, and research institutions, enabling more efficient and patient-centered care.
A call was made for a global connectivity compact for health systems utilizing FHIR-based APIs and API management.
Smile Digital Health's Smile CDR platform is being implemented with nursIT to enhance FHIR interoperability within German hospitals.
InterSystems provided the FHIR List Resource as part of its Open Exchange Package.
Google Cloud updated FHIR resources using the Cloud Healthcare API.
In Latin America, Electronic Health Records (EHR) are transforming how medical information is managed. This system is not merely a replacement for paper files but an intelligent ecosystem that centralizes clinical and administrative data in real time. The article outlines the benefits of EHRs and introduces key regional vendors like K2BHealth and Medilink.
The FHIR Foundation provides information regarding the hl7.sdc.template. This template is recommended for reference within an Implementation Guide (IG) configuration, and downloading it is unnecessary. Furthermore, its dependencies on multiple prerequisite templates are clearly stated.
The Asia eHealth Information Network (AeHIN) is collaborating with HL7 International to host an online FHIR Fundamentals Course. This course offers members the opportunity to learn about the FHIR standard and its practical applications in healthcare.
A centralized FHIR terminology server manages medical terminologies using HL7 FHIR APIs, preventing the loss of meaning during data exchange. This unifies standards like SNOMED CT and LOINC, improving clinical data accuracy and reliability.
The 'Coding System' provided by HL7 defines a system for specifying coding concepts. This specification outlines the overview and usage of various standard code systems used in healthcare, such as local general codes, ICD-10, and CPT.
Developers can achieve true semantic interoperability by integrating standardized terminology management services (like SNOMED CT, LOINC) with a FHIR server. This ensures that data retains its meaning across systems, eliminating ambiguity and enabling reliable information exchange.
FHIR-FUSE is a tool that maps FHIR servers to a filesystem, enabling developers to access healthcare data using standard Unix commands (like grep, sed, jq). This allows for exploration and analysis of FHIR resources without complex API clients or authentication management.
This article details how to enhance the security of a FHIR server using InterSystems API Manager (IAM). By adhering to the OAuth 2.0 standard, IAM functions as an API gateway, enabling secure data access through authentication and authorization.
This study demonstrated that Fast Healthcare Interoperability Resources (FHIR) can serve as a unifying format for the aggregation and integration of genomic research data. It proposes structuring vast clinical and genomic datasets using FHIR, thereby expanding possibilities for large-scale data analysis.
Using the Google Cloud Healthcare API, it is possible to conditionally delete FHIR resources that match a specific search query. This allows for efficient cleanup of unnecessary data and strengthens data governance within the system.
本記事は、IBM App Connect for Healthcareが提供する組み込みパターンを紹介している。このパターン群を利用することで、FHIRやHL7といった標準規格に基づいた医療アプリケーションの統合ソリューションを構築できることがわかる。
This article provides guidelines for achieving secure and usable connections between clinical systems and applications. It emphasizes adopting FHIR and API-first approaches, noting that integration strategies must consider data residency and privacy regulations.