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.
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.
This report provides strategic foresight into five dominant mega trends shaping the European HealthTech and MedTech landscape for 2026. The year marks a critical nexus where groundbreaking technological acceleration meets definitive regulatory enforcement, primarily through the EU AI Act and the European Health Data Space (EHDS) regulation.
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.
The leading conference in Canada, 'FHIR North,' will focus on the intersection of HL7® FHIR® and Artificial Intelligence (AI). This event brings together diverse participants—including developers, clinicians, and policymakers—providing an opportunity to shape the future of healthcare interoperability.
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.
The AWMF welcomed the opening of the 'Health Research Data Center (FDZ Gesundheit)' at BfArM, noting that this creates new opportunities to utilize patient data for specific research questions. However, Prof. Treede warned that the available data are merely billing records and do not accurately reflect true health status.
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.
Dr. Boukary Ouédraogo will speak about the transformation of digital health in Africa. He will provide insights into process automation and optimizing health information systems using AI.
Health Samurai provides a free Inferno (g)(10) Test Kit for developers, addressing the difficulty of accessing official testing infrastructure due to U.S. government shutdowns. This tool is designed for validating compliance with the ONC Certification Program and US Core standards.
HL7 Korea has continuously updated and published the FHIR Core Implementation Guide based on KR CDI requirements. The guide details the latest version (v1.0.2, FHIR R4 v4.0.1), along with historical versions and ballot period information.
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, FHIR—international standards for electronic health data exchange. These certifications validate specialized knowledge crucial for system integration and clinical data exchange.