AirGate Technologies offers an integrated data analytics solution combining Synapse Analytics and FHIR Store. This enables healthcare providers and payers to analyze data from multiple sources, aiming for personalized care delivery and cost reduction.
TCS offers a consulting service utilizing Microsoft Azure Health Data Services to solve data interoperability challenges in healthcare organizations. The service provides comprehensive assessment and PoV development based on the FHIR standard, including data transformation from various formats like HL7v2 and CDA.
HL7 released global survey results from 2025, revealing key drivers and barriers to FHIR adoption. Diagnostic orders and reports emerged as the leading use case, with broad adoption by EHR vendors and care providers. However, significant challenges persist, including lack of knowledge and unclear benefits.
AWS HealthLake allows users to efficiently import FHIR data stored in Amazon S3, making it available for analysis. The service supports setting various validation levels (strict, structure-only, minimal) to ensure data integrity during the process.
According to an HL7 survey, the adoption of FHIR is primarily driven by innovation and regulatory requirements. Diagnostic orders and reports are emerging as leading use cases, surpassing document exchange and referrals. While broad industry engagement is evident, knowledge gaps and regulatory uncertainties remain significant challenges.
AWS HealthLake utilizes the FHIR Bundle structure for handling resources. This feature distinguishes between two processing modes: 'Batch' mode, which processes independent data groups, and 'Transaction' mode, ensuring all operations succeed or fail together.
InterSystemsใฏใใฏใฉใฆใใใผในใฎๅ ๆฌ็ใชใใผใฟใใฉใใใใฉใผใ ใIRIS for Healthใใๆไพใใฆใใใๆฌ่ฃฝๅใฏใใใผใฟ็ฎก็ใ็ธไบ้็จๆงใใใฉใณใถใฏใทใงใณๅฆ็ใๅๆๆฉ่ฝใชใฉใ็ตฑๅใใ่ค้ใชๅป็ใขใใชใฑใผใทใงใณ้็บใๆฏๆดใใใ
FHIR (Fast Healthcare Interoperability Resources) is the modern global standard for exchanging healthcare data. This article explains how FHIR enables information sharing across different systems, solving challenges in clinical practice and research. It highlights that regulatory bodies worldwide are mandating its adoption, establishing it as a foundation.
Cambridge Prisms reports on the i-HD Task Force's initiative to scale up eSource use in oncology clinical trials. This effort aims to solve challenges related to EHR-to-EDC data migration, KPI tracking, and overall data collection efficiency.
Developed by HL7, FHIR is a standard for electronic health information exchange. This article explains FHIR's mechanism and its business impact, demonstrating how it contributes to seamless data sharing and improved operational efficiency across diverse systems.
Global Health Connector held a Connectathon focusing on Electronic Product Information (ePI) and International Patient Summaries (IPS) as FHIR documents. The event aimed to test the exchange and display of this information in increasingly complex healthcare and life scenarios.
The global healthcare interoperability solutions market is projected to grow from US$3.0 billion in 2021 to US$6.2 billion by 2027. This growth is driven primarily by the need for seamless data exchange due to the adoption of EHRs and remote monitoring, alongside government mandates for standardization and interoperability across various countries.
While interoperability standards like HL7 and FHIR have enabled the exchange of patient data across various systems (EHRs, labs), this connectivity alone is insufficient. Artificial intelligence is necessary to provide 'intelligence' to the data, transforming raw information into real-time, actionable insights.
HAPI FHIR provides an optional 'HFQL Module' allowing the execution of SQL-like queries against a FHIR repository. Intended for analytical purposes, developers can connect directly to the server via a JDBC driver to perform complex data searches.
HL7 Vulcan aims to eliminate silos in healthcare and research data by leveraging FHIR (Fast Healthcare Interoperability Resources). This effort facilitates accelerated research, streamlines workflows, and improves patient access to information using clinical and real-world data.
Healthcare IT professionals are increasingly required to prove their expertise in HL7 and its modern framework, FHIRโinternational standards for electronic health data exchange. These certifications validate specialized knowledge crucial for system integration and clinical data exchange.
Representatives from EU countries, industry, and international organizations discussed the European Health Data Space (EHDS). The EHDS aims to enable secure and standardized exchange of health dataโsuch as from electronic patient files or medical registersโto improve research and care. Key technical challenges highlighted include ensuring trust, security, and interoperability via HL7 FHIR.
This article technically explains the concept of an 'Intersection' for a specific FHIR resource (ror-organization-creation-date), which integrates two different aspects (or combinations of the same aspect). It details the structure and constraints required for resources conforming to this intersection definition.
Akinola Olutola won the Novat Award in the Software Development category and was inducted into the Novat Hall of Fame. He was recognized for achieving measurable performance and interoperability gains in high-volume healthcare systems.
This article introduces an open-source FHIR MCP Server built on the Model Context Protocol (MCP). This tool allows users to access healthcare data using natural language, reducing the need for deep FHIR expertise and mitigating risks like AI-generated code errors.