3,756 FHIR-related articles (latest first)
CSIRO is advancing the transformation of Australiaโs healthcare system using technologies like AI and FHIR. This effort aims to improve electronic health record sharing, enhance data accessibility, and advance sophisticated disease risk assessments.
InterSystems emphasized that realizing the full potential of AI in healthcare requires a reliable and interoperable data foundation. The company aims to implement clinically useful AI by providing platforms that integrate and govern data from diverse systems based on open standards like HL7 and FHIR.
This course teaches methods for ingesting and processing data in industry standard formatsโFHIR, HL7v2, and DICOMโusing the Cloud Healthcare API. Furthermore, it includes practical training on building prediction models with FHIR data and de-identifying datasets.
This article introduces a method to eliminate complex authorization logic in FHIR-based applications. By utilizing SMART on FHIR V2 scopes combined with Keycloak's composite roles, it is possible to achieve a system where a single API endpoint dynamically provides different data based on the calling user type, all without custom code.
Firely provides FHIR-based products and services to payers, providers, and digital health innovators, helping solve complex challenges related to sharing and utilizing healthcare data. This aims to enhance the overall connectivity and innovation within the healthcare ecosystem.
HL7 released the ValueSet 'hl7VScalendarAlignmentV100' to specify the alignment between repetition cycles and calendar dates. This helps clearly distinguish between expressions like 'the 5th of every month' and simple period specifications like 'every 30 days.'
At HIMAA 2025, the Australian e-Health Research Centre (AeHRC) showcased innovative use cases leveraging Sparked FHIR. They demonstrated how a single calculator was built by extracting data from GP records using FHIR APIs, highlighting its potential for clinical decision support at the point of care.
The Japan Association for Medical Data Utilization Infrastructure (IDIAL) will hold a specialized modeling training seminar starting November 2025. The seminar aims to teach practical skills, including information model construction using UML and mapping to HL7 FHIR.
This article provides technical guidance for developers using AWS HealthLake, detailing the process of obtaining a FHIR Discovery document. It outlines how client applications can identify the correct authorization endpoints and supported resources for a given HealthLake data store.
The Ministry of Health and Welfare's Information Department announced that to solidify Taiwan's smart healthcare foundation, it has set three key governance priorities: Data Governance, AI Governance, and Cybersecurity Governance. This includes ensuring data interoperability through the adoption of international standards like FHIR and SNOMED CT, and establishing frameworks for responsible AI implementation and management.
This study systematically reviewed various architectural patterns to address the fragmentation and interoperability challenges in Health Information Systems (HIS) during digital health transformation. It found that microservices and distributed ledgers are predominant, with FHIR-based contracts stabilizing interfaces.
As EHRs become universal, poor true interoperability remains a major safety hazard. This article explains how the FHIR standard, based on modern web APIs, enables real-time and secure data exchange compared to traditional HL7 v2 or legacy systems, thereby improving hospital workflows and accelerating SaMD adoption.
This article explains how to view the contents of a FHIR profile package in both project-based and standalone environments. It details the mechanism of 'Extensions,' which allows users to add user-defined data elements beyond the core structure.
This page provides an interface for searching and managing medical concepts and code systems through the Unified Medical Language System (UMLS). Users can reference diverse coding standardsโincluding FHIR, LOINC, and HCPCSโand view detailed definitions to create value sets.
This guide explains how to use the POST request method for searching FHIR resources within an AWS HealthLake data store. The use of POST is recommended as a security best practice when searching sensitive information, such as PII or PHI.
HL7 has published the specification (ValueSet) for 'ActPriority,' a code set used to classify the urgency and necessity of services such as clinical procedures or tests. This code set defines 15 concepts, ranging from 'Stat' (highest priority) to 'Elective' (optional), accommodating various medical situations.
Global Alliant is driving digital transformation for healthcare organizations and government agencies through FHIR interoperability and cloud modernization. This enables data-driven decision-making, contributing to improved public health outcomes.
This project built an interoperability connector using NLP and AI, allowing non-specialists to gain insights from medical data simply by asking questions in plain English. The system automatically converts user queries into optimized SQL and displays FHIR-compliant data visually.
CareEvolution published detailed technical specifications for the Questionnaire Response resource within the HIEBus FHIR interface. This resource manages structured questions and answers, contributing to data standardization in healthcare information exchange.
Cognizant was named a Leader in the Everest Group's assessment for 'Care Management Platforms for Payers.' This recognition highlights that its solutions, addressing payer challenges like utilization and disease management, hold significant market value.