3,756 FHIR-related articles (latest first)
The author attended the Civitas Annual Conference, reporting that this gathering of HIEs (Health Information Exchanges) and various interoperability solution providers is evolving beyond simple data exchange.
Castor launched Catalyst, an AI-powered platform designed to automate burdensome tasks in clinical studies. The system aims to dramatically reduce time, cost, and errors by automating processes like data entry and verification.
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.
Interoperability company Redox and Kno2, which holds a federal designation as a Qualified Health Information Network (QHIN), announced a strategic alliance. This partnership aims to solve the dual challenge of moving large-scale clinical data and making it instantly usable across the healthcare sector.
As of 2025, standardized data access is mandatory in healthcare, making FHIR integration increasingly critical. Major vendors (Epic, Cerner, etc.) are adopting FHIR R4 APIs to ensure seamless interoperability across EHR/EMR platforms, responding to regulations like TEFCA.
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.
This article explains how Indonesian Puskesmas (community health centers) can integrate their electronic medical records (EMR) into the national data platform, SATUSEHAT. The process is recommended to be gradual and systematic, utilizing FHIR R4 standards and OAuth2 authentication.
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.
The Tri-Service General Hospital (Taiwan) introduced an AI-powered hemodialysis system to address complications like hip fractures and 'persistent starvation bone syndrome' in long-term dialysis patients. The system uses electronic dashboards and cross-platform integration to monitor patient status and provide personalized treatment, improving pain relief and quality of life.
Xinli Asset is participating in the government's 'Healthy Taiwan Deep Cultivation Plan,' advancing standardization integration using generative AI and Electronic Health Records (FHIR). Furthermore, it expects results starting in Q4, including a two-year service contract with Cathay Thai Bank through its Vietnamese subsidiary.
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AWS HealthLake adopts OAuth 2.0 as its authorization protocol, utilizing the SMART on FHIR framework to enforce granular access control. This allows client applications to access only the specific data scopes (patient, user, or system) required for their function.
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.
The Tri-Service General Hospital in Taiwan unveiled an 'AI Smart Hemodialysis System.' This system provides personalized care for chronic kidney failure patients, achieving improved quality of life by early detection and management of conditions like osteoporosis and fracture risk.
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.
This guide details the procedure for reading the current state of specific FHIR resources using AWS HealthLake. It is a technical guide on how to retrieve information from a data store using GET requests and various authentication methods (SigV4 or SMART on FHIR).
This article details the technical procedure for creating new healthcare resources (e.g., Patient) using the FHIR R4 API within AWS HealthLake. It serves as a comprehensive guide for adding data to a HealthLake datastore.