1,063 FHIR-related articles (latest first)
This page provides an interface for searching and managing various medical code systems (e.g., LOINC, CPT, CVX) through the UMLS (Unified Medical Language System). Users can confirm detailed information and FHIR handling related to these code systems.
Susheel Ladwa, CEO of Onyx, was named 'Most Strategic CEO to Follow' by CXO Magazine. This recognition highlights his visionary leadership in advancing FHIR-based interoperability solutions, which simplify healthcare data exchange and improve patient outcomes.
Diego Kaminker of HL7 International, a long-time standard setter for electronic health information, discussed how HL7 provides standards for exchanging clinical and administrative data. Federal agencies also leverage these standards to improve patient outcomes and overall health system performance.
Black Book Research released survey findings from the American Medical Informatics Association (AMIA) membership base. The study revealed the current adoption status of AI/ML, identifying key barriers such as data quality issues and system integration challenges, while highlighting priority investment areas for future healthcare IT development.
This article introduces a sample application that utilizes the FHIRlink connector for Power Platform, integrating Dataverse, Epic on FHIR, and Azure OpenAI. This setup enables the provision of patient details and AI support to clinical users.
Traditional Electronic Medical Record (EMR) systems suffer from issues like data siloing, high costs, and poor usability. New technologies such as FHIR and AI agents are ushering in a transformative era that will replace legacy systems by improving interoperability and reducing clinical burden.
In data exchange, not all resource references are guaranteed to point to a valid FHIR resource. Specifically, when references are used as business identifiers or simple display strings across different systems, they can cause unexpected issues during query execution.
CMS is hosting a webinar focusing on Clinical Quality Language (CQL), Quality Data Model (QDM), and Fast Healthcare Interoperability Resources (FHIR). The series will provide examples of expressing eCQMs using CQL/FHIR and mapping QDM concepts to FHIR resources.
In the modern healthcare industry undergoing digital transformation, seamless data interoperability is crucial. This article explains how major healthcare organizations are achieving improvements in patient care and operational efficiency by adopting Fast Healthcare Interoperability Resources (FHIR), citing specific real-world examples.
HL7 provides 'Foundry,' an open ecosystem enabling healthcare organizations and developers to test and implement interoperability using FHIR APIs. This accelerates the standardization of health data, driven by federal efforts to improve electronic health information exchange.
ViVE 2025 reaffirmed the critical importance of interoperability in healthcare. Key challenges highlighted include the inefficiency of prior authorization processes and the complexity of managing quality measures due to CMS compliance. It was shown that data exchange via FHIR-powered APIs is key to solving these issues.
InterSystems issued an advisory warning that FHIR server search chaining may return incomplete or incorrect results when using certain parameters. This is a critical point for developers involved in data exchange and system integration.
Eugene Vestel provides expertise on leveraging FHIR and AI technologies to help healthcare organizations utilize their data. Through open-source tools, the goal is solving interoperability challenges and generating outcomes.
This service provides an integrated solution addressing the need for two-way structured clinical data exchange in healthcare. It enables secure read and write operations across multiple systems, ensuring compliance with regulatory standards like US Core and TEFCA.
MediQuant announced that its cloud-based data archiving and interoperability solution, DataArk, now fully supports U.S. Core Data for Interoperability (USCDI) Version 5. This milestone helps healthcare organizations meet the latest federal standards and advance data sharing.
This service offers an integration solution for securely ingesting FHIR data from a single system, specifically designed for mobile and web applications. It ensures interoperability compliant with US Core standards in scenarios where bidirectional write-back is not required.
The Fraunhofer-Institut iESE is developing a system that uses LLMs and NLP to automatically extract data from unstructured medical documents (like PDFs) and convert it into standardized formats such as FHIR, LOINC, and SNOMED-CT. This is expected to significantly improve the efficiency of electronic health record data processing.
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A data expert highlights the importance of a 'FHIR Strategy Day' for developers and decision-makers starting large-scale FHIR projects. The day aims to provide knowledge from business and leadership perspectives, not just technical ones, helping participants avoid common pitfalls encountered early in a project.
Electronic Prior Authorization (ePA) is a transformative technology beyond mere regulatory compliance. By leveraging it, all stakeholdersโincluding providers and payersโcan significantly improve operational efficiency, enhancing patient care quality and achieving cost reduction.