Querium is a customized IDE built specifically for FHIR and SMART on FHIR. It assists clinicians, data engineers, and healthtech platforms by improving usability and ensuring compliance when handling complex medical data.
Edvak Docs provides a standardized API compliant with HL7 FHIR R4 specifications, enabling secure and unified access to patient and population health data. This standardizes data handling in healthcare settings and establishes an easily usable environment for developers.
This document describes the `TSubscriptionFilterBy` class, which is part of FHIR resource subscription functionality. This class provides a structure for filtering notifications to determine which specific topics (SubscriptionTopic) a client wishes to receive updates about.
Achieving effective healthcare requires a 'common language' to prevent data silos. This article outlines the specific steps and approaches necessary for developing and promoting data standards like HL7 and FHIR.
Information regarding the 'i-Tube' system, a FHIR standard compliance testing system for medical information exchange, was published through an equipment sharing service provided by the Kimhae Bio-Industry Promotion Institute. This system verifies the interoperability of various healthcare products, including Personal Health Devices (PHD) and various vital sign measuring devices, supporting the establishment of a linkage foundation with Electronic Medical Records (EMR).
CitiusTech's PERFORM+ Connect is a comprehensive solution designed to help healthcare organizations advance their interoperability strategy and accelerate FHIR implementation and adoption. It specifically addresses compliance with the CMS interoperability rule, which is crucial as payers, providers, and pharma converge.
This article introduces a Rust crate that integrates the UCUM core library with FHIR, enabling unit conversion and equivalence checking between different units. The developer demonstrated how this tool can be used to validate and utilize `Quantity` type values found in FHIR Observation data across various units.
This article technically explains how to configure the data processing pipeline within Firely Server. It utilizes `PipelineOptions` and `SupportedInteractions` to precisely control the API's operational scope and supported FHIR operations (CRUD, etc.).
Healthcare organizations must implement a unified API gateway in complex digital environments, ensuring organized data communication between patient portals and backend systems. This enhances security and scalability while managing diverse data sources.
This page provides numerous test definitions to comprehensively validate basic resource operations (CRUD) compliant with FHIR 4.0.1. Specifically, it confirms basic operations in JSON/XML formats for medical resource types like Substance and Task, including ID management from both client and server sides. This is crucial for ensuring interoperability when exchanging data between electronic health record systems.
This paper proposes an open-source solution utilizing FHIR and SMART on FHIR to record and manage patient-reported outcomes (PROs). It demonstrates that this approach can achieve the goals set by the Health Outcomes Observatory (H2O) project, addressing the growing need for data standardization and patient inclusion in healthcare.
This article introduces the 'Fhir HepatitisC Predict' application from InterSystems. The application predicts Hepatitis C based on input laboratory test results provided by the user.
HL7 Europe and Xt-EHR are collaborating on developing FHIR Implementation Guides (IGs) to support the European Health Data Space (EHDS). The discussion focuses specifically on technical progress in areas like electronic prescriptions and dispensations.
Healthcare organizations face pressure to share clinical data across disparate systems. This article explains how building a 'Central Interoperability Hub' by integrating multiple standardsβincluding HL7 v2, FHIR, and CCDβcan resolve data silos and improve decision-making.
FHIRInternationalπUniversity of Augsburg / BIFOLD β Berlin Institute for the Foundations of Learning and Data / Technische UniversitΓ€t Berlin / German Research Center for Artificial Intelligence (DFKI) / DHZC Medical DEnrichedJul 17, 2025
This paper proposes 'Infherno,' an end-to-end framework that utilizes LLM agents and external tools to synthesize FHIR resources from unstructured clinical text. This approach addresses the limitations of conventional systems regarding generalizability and structural conformity.
Nuncius is a communication platform designed to balance security and interoperability in clinical settings. By adhering to the FHIR standard and providing AI analysis and advanced encryption, it aims to improve healthcare workflows while protecting patient data for clinicians.
The 'SNOMED on FHIR Working Session,' chaired by Peter G. Williams and Robert Hausam, is scheduled for October 19, 2025. This session aims to facilitate information exchange regarding the utilization of SNOMED CT within the FHIR standard.
Darren Devitt has released podcasts discussing technical challenges in healthcare data exchange, such as exposing data using FHIR or determining the necessity of adopting FHIR for a project. The content focuses specifically on 'FHIR Server Implementations' and 'The Business of FHIR.'
FHIR is useful when there are requirements for data sharing, regulatory mandates, or customer expectations. However, adopting it merely because of its status as a 'future standard' can increase unnecessary complexity and workload, risking project stagnation.