Search results for "FHIR": 3,717 articles
The Industrial Technology Research Institute (ITRI) is launching the 'AI Smart Healthcare Data Platform' in collaboration with the Taiwan Medical Device Association. This platform uses FHIR standards to integrate and share medical data, aiming to accelerate AI development and medical product validation.
Innovaccer has signed a Strategic Collaboration Agreement (SCA) with AWS. This partnership aims to accelerate the transition of agentic AI from pilot phases to production-grade deployment, utilizing services like Amazon Bedrock and AWS HealthLake for FHIR-native data access.
The Danish ehealth infrastructure has published the technical specification for the 'ContactPoint System,' a CodeSystem based on FHIR. This document serves as a technical reference, defining properties such as 'deprecated' and including definitions like Global Location Number (EAN).
The Taiwan Biomedical Equipment Industry Association launched the 'AI Smart Medical Data Platform' to address fragmented medical data. The platform integrates and standardizes data from various devices and settings using the FHIR standard.
This article provides a comprehensive guide to FHIR (Fast Healthcare Interoperability Resources), which is essential for achieving interoperability in medical information. It covers architecture and roadmaps, alongside cost factors and best practices for developing FHIR APIs.
Hixny, a credible health information exchange platform in New York State, and medent, an EHR system provider, have completed integration using SMART on FHIR. This allows clinicians to directly access comprehensive patient health records and diagnostic data across the entire state of New York within their existing EHR workflow.
Hixny, a New York State credible health information exchange platform, partnered with electronic medical record system provider medent to complete integration using SMART on FHIR. This allows clinicians to access statewide patient data directly within existing Electronic Health Record workflows via the 'Snapshot' application.
This article profiles thirteen advanced healthcare app development companies that hospital systems should evaluate when planning their next technology investment. These firms are addressing critical challenges in healthcare by focusing on clinical data interoperability and administrative workflow automation.
Healthcare AI pioneer Innovaccer announced a multi-year strategic collaboration with Amazon Web Services (AWS). This partnership aims to accelerate the transition of AI agents from pilot phases into production-grade deployment, tackling systemic operational waste.
Hixny, a health information exchange provider in New York, and medent, an EHR system provider, announced the successful rollout of Hixny's Snapshot app within the medent platform following a pilot integration. This allows clinicians to access comprehensive patient histories and statewide data directly within their existing workflow.
The 'Browse Code Systems' page, provided by the National Institutes of Health (NIH), offers comprehensive functionality for referencing and managing diverse medical code systems. Users can search and verify information related to diseases, drugs, and procedures based on various standard specifications such as UMLS and LOINC.
An expert points out to AI-powered healthcare startups that data layer unpreparedness, rather than model performance, is the primary cause of failure. It emphasizes the critical importance of viewing standards like HL7 and FHIR as business risks.
ProjectLeo launched an AI patient advocacy app for iOS. The application provides comprehensive, single-platform services including medical record interpretation, appointment assistance, and appeals against insurance denials, while ensuring strict user data protection.
CRISP Shared Services (CSS), a national non-profit organization, will take over the Florida Health Information Exchange platform managed by the Florida Department of Health. The new platform is set to launch fully on July 1, 2026, aiming for statewide interoperability improvement and healthcare service transformation.
InterSystems announced that the upcoming 2026.2 release (available in preview) will support binary content type responses for specific FHIR Read operations. This change allows users to retrieve actual binary data, such as PDF files, directly when requesting a Binary Resource with a specified MIME type, rather than receiving it wrapped in standard JSON format.
Detailed mapping specifications for the MedicationAdministration resource profile, based on FHIR standards, have been published. This is expected to advance the structuring of medication records and ensure interoperability in electronic health record systems and healthcare information exchange.
ProjectLeo launched 'Leo,' an independent AI platform for patients and caregivers. The app provides comprehensive support for navigating complex healthcare systems, including appointment management, understanding medical records, and appealing insurance denials.
Hasshya Moorthy developed an end-to-end interoperability pipeline that converts CCDA (Clinical Document Architecture) XML files into standardized FHIR resources. The system employs a hybrid approach combining deterministic extraction, NLP-assisted ontology mapping, and semantic normalization.
ไธญๅใฏใในใใผใใใซในใจ้ซ้ฝข่ ใฑใขใธใฎ็งป่กใซใใใฆใใตใคใใผใปใญใฅใชใใฃใใใธใฟใซๅบ็คใฎไธญๆ ธใซๆฎใใฆใใใ็ฉ่ฏ็ถฒ๏ผIoMT๏ผใAIๅๆใๆดป็จใใไธญใงใ้ปๅญ็ ๆญดใชใฉใฎใใฉใคใใทใผไฟ่ญทใฎใใใใผใญใใฉในใใขใผใญใใฏใใฃใจFHIRๆจๆบใๅฐๅ ฅใใใ
The FDA emphasizes the growing importance of utilizing Real-World Data (RWD) in drug approval processes, demanding higher transparency and standardization. Adherence to international standards like CDISC and HL7 FHIR is crucial, impacting global healthcare IT practices including Japan.