3,748 FHIR-related articles (latest first)
JondaX is a data transformation engine that processes diverse real-world inputsโsuch as PDFs, images, HL7/FHIRโand converts them into clean, coded, and regulation-ready structured output. It offers advanced functions based on clinical context while adhering to international regulations like HIPAA and GDPR.
This specification introduces the 'ehealth-trigger-enablement-code' extension to the FHIR ServiceRequest resource. It allows setting whether a service will react to trigger conditions expressed in other activities within a care plan.
The article addresses critical issues in healthcare platform development, such as duplicate patient records and data inconsistencies across modules. It advocates that the FHIR 'Patient' resource must be treated not merely as metadata, but as the central, unifying identifier for all clinical encounters.
This event covered harmonization efforts for FHIR base profiles across multiple Nordic countries, including Denmark, Finland, Norway, and Sweden. It also presented case studies on implementing new services using hackathons. Ensuring standardization and interoperability at the regional level is crucial due to regulations like EHDS.
A '1 Day Basic to Intermediate Course' on Health Level Seven (HL7) FHIR is being held by Mangates. The event takes place in Houston, Texas, and multiple dates are scheduled.
This article summarizes the 'Agents on FHIR' event series from 2026, focusing on the application of autonomous agents (AI Agents) using medical data. Participants demonstrated techniques such as clinical data transformation and patient bundle compression for LLM prompts, discussing challenges in standardization and AI application.
According to Don Rucker, Chief Strategy Officer at 1upHealth, health data is expected to flow continuously to smartphones, integrating wearables and devices to enable more personalized, consumer-driven healthcare.
According to Dr. Don Rucker, Chief Strategy Officer at 1upHealth, FHIR provides a clinical data standard that allows health systems to exchange data more easily without expensive, customized queries. This marks a significant advancement for healthcare system interoperability.
According to Dr. Don Rucker, Chief Strategy Officer at 1upHealth, Bulk FHIR represents a major leap for population health because it enables health systems to access and analyze volumes of patient data.
The system provides a portal allowing patients to directly manage their consent records for medical data. Using OAuth2 authentication, patients can decide which applications receive access, what types of FHIR resources are shared, and for how long.
The eHealth Infrastructure has published a new FHIR-based OperationDefinition, 'Execute careplan customization stats'. This function allows for the statistical tracking of patient-specific customizations within care plans, such as measurement schedule timing and reference ranges.
JijiHub has released an AI skill designed to assist in creating FHIR-compliant questionnaire definitions. This tool can structure medical information, such as conditions and medications, by utilizing official coding APIs like LOINC and SNOMED CT from plain requirement documents.
Czech healthcare experts point out that strong health data databases are necessary for high-quality medical care. A key challenge is tracking the entire patient journey, such as after an acute myocardial infarction, to aid in preventive care.
Healthcare organizations face the challenge of utilizing the increasing volume of patient-generated data (PGD) from wearables and remote monitoring devices. Experts emphasize that the key is not merely accumulating data, but integrating it into workflows to support clinical decision-making at the right time and in the correct format.
eHealth Infrastructure in Denmark has published the 'Device Types' code system, based on FHIR, as version 3.5.1. This specification provides codes for classifying medical devices and is referenced by related value sets and implementations.
This page provides a live sandbox for handling FHIR data using Clinical Quality Language (CQL). Users can write and execute CQL queries directly in the browser, viewing generated DuckDB SQL and raw FHIR resources.
The pharmaceutical industry is advancing data integration using AI to cope with increasingly complex clinical trials. This significantly streamlines the previously challenging process of data harmonization, accelerating time-to-insight.
ใใณใใผใฏใฎeHealth InfrastructureใฏใFHIRใใผในใฎใOverview usage modeใใจใใใณใผใใทในใใ ใๅ ฌ้ใใใใใใฏใๅป็ใใผใฟ่ฆ็ด ใ็ตๆใๆฆ่ฆ่กจ็คบใพใใฏ่กจๅฝขๅผใงใฉใฎใใใซ่กจ็คบใใใใใ่ญๅฅใใใใใฎๅฎ็พฉใงใใใ
The eHealth Infrastructure in Denmark has released the extension specification 'ehealth-deviceusestatement-context' at version 4.0.1, based on FHIR. This provides context information regarding care plans related to medical device usage, indicating progress toward standardization in system interoperability.
Fractal Analytics Inc. offers system integration services to exchange Protected Health Information (PHI) using the HL7 FHIR standard on Azure Stack Edge. This service enables secure data sharing and HIPAA compliance by integrating disparate Electronic Health/Medical Record (EHR/EMR) systems.