Search results for "FHIR": 3,717 articles
The Cloud Healthcare API bridges the gap between care systems and applications built on Google Cloud. By utilizing this API, it becomes possible to ingest industry-standard data formats like FHIR and HL7v2, enabling advanced utilization for analytics in BigQuery and machine learning.
Starting December 2025, the Cancer Detection Center (CvKO) will automatically provide results from reimbursed screening swabs to electronic medical records (EMD). This data linkage uses the FHIR standard and is limited only to the healthcare institution where the patient's primary care physician practices.
This guide demonstrates how to process clinical data in Fast Healthcare Interoperability Resources (FHIR) format using Google Cloud's Cloud Healthcare API. By deleting or modifying Personally Identifiable Information (PII) and Protected Health Information (PHI), users can prepare the data for analysis and research while protecting patient privacy.
This paper introduces FHIR Lens, an interactive graph-based platform designed to address the challenge of exploring complex relationships within Electronic Health Record (EHR) data. By leveraging FHIR resources as RDF and utilizing SPARQL for dynamic querying, it enables deep semantic exploration.
IMEXHS, from Colombia, developed 'Aquila+' to address the structural problem of severe radiologist shortages in Mexico. This cloud-based platform aims to improve diagnostic speed and accuracy through workflow organization, remote collaboration, and AI assistance.
Under the initiative led by the Ministry of Health and Welfare, South Korea is advancing the automatic standardization of medical data that varies across different hospitals using AI technology. This aims to reduce manual labor in data processing and improve overall data quality.
Appian, alongside Ignyte Group, announced success in the HL7 AI Challenge, achieving enhanced health data interoperability using AI. Their 'Bring AI to Work(flow)' solution integrates AI into patient and operational workflows, aiming for improved efficiency and cost reduction.
Health Chain introduced Centaur, a FHIR-native, cloud-based data management platform. This platform helps Payers, Providers, and Integrated Delivery Systems establish longitudinal member records, aiding both regulatory compliance and quality improvement.
AWS HealthLake allows asynchronous export of healthcare data using the FHIR R4 $davinci-data-export operation. This feature supports multiple specialized export types, including ATR and PDex, enabling group-level data extraction.
This article introduces major analytics companies like Kodjin and Optum. These firms are providing solutions that integrate clinical and administrative data, ensuring interoperability to improve care quality and reduce costs.
Radiology provider Lumus Imaging has adopted Magentus's eRequests. This extends the reach of Australiaβs first Open FHIR API standards-based eRequesting solution into more diagnostic services.
NAACCR announced an informational webinar on the Central Cancer Registry Reporting (CCRR) HL7 FHIR Implementation Guide, scheduled for December 4, 2025. This guide aims to support the automated and standardized exchange of cancer surveillance data from ambulatory healthcare providers' EHR systems to central cancer registries.
This article analyzes interoperability challenges in medical imaging, arguing that the shift from the traditional messaging standard HL7 V2 to the modern API-based FHIR is essential. While V2 operates on a rigid, 'push' model for data transfer, FHIR utilizes 'pull'-based web APIs to enable AI integration and the creation of true longitudinal patient records.
This document explains how to manage subscriptions for data ingestion and event notifications using FHIR standards within AWS HealthLake. Users must create a SubscriptionTopic and then a Subscription, which requires validation by HealthLake before reaching an 'active' status.
This guide details the process of creating an FHIR subscription using AWS HealthLake. This allows users to receive notifications when specific healthcare events (e.g., Encounter creation) occur, enabling data integration and real-time event handling.
Synapxe, Singapore's national health tech agency, has introduced two new interoperability standards (SS719, SS720) to facilitate the development of digital health solutions. These standards aim to simplify the sharing and integration of medical records and remote monitoring data, thereby boosting startup innovation and ensuring high-quality continuity of care.
Health leaders from Southeast Asian countries gathered at RODHS 2025 in India to aim for common standards and safe systems for data exchange. The adoption of Fast Healthcare Interoperability Resources (FHIR) was a key outcome, with nations agreeing to proceed through gradual implementation.
HL7 released a guide detailing the use of FHIR for labeling XML and SPL transitions.
InterSystems provides a function via the class HS.FHIR.DTL.SDA3.vR4.PractitionerRole.PractitionerRole that transforms PractitionerRole data from SDA3 format into vR4 format. This is a technical mechanism designed to ensure interoperability between different versions of data structures.
A Thai healthcare standards body published a specific implementation guide for the 'Observation' resource based on FHIR. This example demonstrates how to record vital signs, including systolic and diastolic blood pressure measurements, within an electronic health record.