FHIRInternational🏛University of Augsburg; BIFOLD – Berlin Institute for the Foundations of Learning and Data; Technische Universität Berlin; German Research Center for Artificial Intelligence (DFKI); Charité - UniversiEnrichedSep 8, 2025
A team of universities and research institutions proposed 'Infherno,' a new framework for end-to-end synthesis of FHIR resources from unstructured clinical notes. The system utilizes LLM agents and code execution to overcome limitations of previous methods, such as limited generalizability.
EldoNova+ offers solutions utilizing Fast Healthcare Interoperability Resources (FHIR) to solve challenges in data exchange and application development across healthcare institutions. This enables seamless integration with Electronic Health Records (EHR) and improves patient information management, facilitating advanced healthcare operations.
HL7 has published the code system 'Diagnostic Service Section ID,' which defines specific sections of diagnostic services in clinical records. This code system is used in HL7 v2.x messages' OBR and OM4 segments, standardizing the types of tests or examinations performed by healthcare institutions.
Healthcare organizations can achieve advanced interoperability by adopting open standards like FHIR and establishing data exchange and governance. This is a strategic priority that improves care coordination and supports decision-making.
HL7 has published the definition for the code system 'Type of Referenced Data (2.3.1 - 1.2.0)', which declares the general type of media data that is encoded. Although it was used in versions prior to v2.5.1 and later replaced by IANA media types, it remains an important referenced specification.
A unified standard, SMART on FHIR, championed by Professor Ken Mandl, is profoundly impacting electronic health records. This standardization allows medical data and applications to be easily shared on a common platform, realizing a future that improves efficiency in healthcare settings and enhances patient self-management capabilities.
In a healthcare setting facing data sharing challenges, a development team enhanced the reference information within FHIR's EpisodeOfCare resources. This embedded contextual details like patient identifiers and facility names, significantly improving data searchability, usability, and interoperability across multiple systems.
This presentation proposes a solution to healthcare interoperability challenges using platform engineering principles. It details how an AI-enhanced, multi-layered architecture based on FHIR can securely and efficiently share fragmented patient data.
This paper presents a prototype ETL pipeline that uses pure functions to enrich patient data. The pipeline focuses on the process of converting Electronic Health Record (EHR) data into a knowledge graph, utilizing HL7 FHIR resources and RDF.
Researchers developed an open-source compiler called MaLaC-HD to solve the performance issues of executing FHIR Mapping Language (FML). This tool compiles FML code into Python, achieving data transformation speeds nearly 100 times faster than existing tools.
This page provides information regarding an HL7 FHIR converter offered by the AI, ChatGPT. Users can utilize this tool to handle healthcare data according to standard specifications.
WHO released the data dictionary for SMART DAK PNC (v1.0.0). This guide defines a minimum set of data corresponding to various workflow points in the PNC process, usable for service delivery and decision support logic implementation. It is based on the FHIR R4 standard.
A workshop titled 'Canadian HealthCareService FHIR API Specification Workshop' was hosted by Tim Berezny. The event aims to build the FHIR API specification for specific Canadian healthcare services.
Whitebrick automated a complex, manual workflow between two disparate systems—an EHR for appointments/charts and a CRM/ERP for billing/leads—by leveraging n8n with custom FHIR and HL7v2 nodes. This integration significantly improved operational efficiency.
MyHealth@Eu has published the technical specification for 'Laboratory Result Content,' which is based on FHIR (HL7® FHIR® Standard) R4. This standard provides a structured data format for clinical laboratory result reports (LabReport), expected to become a standard reference point for healthcare information exchange.
CData has released a connector that enables live access and direct querying of FHIR data within Tableau. This allows users to visualize and analyze FHIR data without complex setup.
This article introduces a development project utilizing React.js and FHIR (Fast Healthcare Interoperability Resources). It serves as a page demonstrating the setup and basic structure of a development environment, rather than providing detailed functional or technical explanations.