1,676 FHIR-related articles (latest first)
This course teaches methods for ingesting and processing data in industry standard formatsβFHIR, HL7v2, and DICOMβusing 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.'
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 standardsβincluding FHIR, LOINC, and HCPCSβand view detailed definitions to create value sets.
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.
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.
MACH Orchestra provides FHIR templates, enabling healthcare organizations to leverage the FHIR standard and build an integrated clinical landscape without artificial barriers. This protects existing investments by reducing dependency on individual vendors.
b.well Connected Health, in partnership with Google, is advancing AI-powered personalized health solutions in Mexico.
This study developed DermaDashboard, an interactive dashboard built on a relational FHIR-compliant PostgreSQL database. This tool enables exploratory cohort building and data visualization in oncology by overcoming the analytical difficulties posed by complex FHIR structures, making it usable for nontechnical users.
Slovenian company Better has solidified its presence in international healthcare systems with its open digital health platform. Based on standards like FHIR and openEHR, the platform is used by over 1000 institutions across more than 28 countries, ensuring data accessibility and reusability.
InterSystems announced a new partnership with Google Cloud. This collaboration integrates InterSystems HealthShare to enhance healthcare data interoperability, enabling advanced analytics and decision support using generative and agentic AI.
This article introduces and evaluates multiple engineering teams trusted to shape digital healthcare. Each company is assessed based on critical criteria such as compliance (HIPAA, ISO 27001) and security, along with proven experience in developing complex systems like EHR, IoMT, and FHIR integrations.
Innovaccer offers a FHIR-enabled Data Activation Platform (DAP) that enables healthcare providers and payers to deliver transparent, real-time, and collaborative care based on unified patient records. The platform uses AI for data analytics and decision support, contributing to better patient-centered care by automating routine workflows and enhancing decision-making.
InterSystems announced a partnership with Google Cloud. This integrates InterSystems HealthShare with the Google Cloud Healthcare API, enhancing data harmonization and scalability. Healthcare providers can now implement generative AI and agentic AI using reliable data.
This study evaluates the feasibility of achieving semantic interoperability within FHIR resources by utilizing business meta-models. The research demonstrates the importance of meaning consistency and standardization in data exchange.