3,748 FHIR-related articles (latest first)
Global Health Connector announced 'FHIR Connect,' a new service featuring an open framework. This tool supports the creation of bidirectional interfaces for handling clinical data by integrating FHIR applications with an openEHR repository.
Nigeria has enacted a digital health services bill requiring licenses for telemedicine and AI platforms. Concurrently, over 50% of African nations have implemented data protection laws, standardizing cross-border data sharing under the Africa CDC framework.
The ANS in France held a webinar detailing how to utilize the 'Health Directory' via a FHIR API. This session was aimed at technical teams and innovative companies, explaining methods for leveraging national reference data within their solutions.
Furore is working on diverse international healthcare IT projects based on the HL7 FHIR standard, supporting client Firely. Consultants share experiences of collaborating across different cultures and stakeholders globally, discussing challenges related to technical complexity and resulting professional growth.
This study experimentally analyzed the interoperability performance of healthcare data based on HL7 FHIR using a RESTful API architecture. The results showed that performance varies depending on resource type and operation (GET vs SEARCH), indicating that the FHIR server has processing capacity limits.
Healthcare organizations require data warehouses that integrate clinical and claims data while adhering to HIPAA regulations. This approach allows for real-time analytics and care innovation while protecting sensitive Protected Health Information (PHI).
This kit provides tutorials on developing advanced medical applications by integrating Electronic Health Record (FHIR) data with generative AI using Python. It enables the analysis of unstructured text, such as clinical notes and patient histories, through vector search and LLM processing to provide insights for healthcare professionals.
The National Healthcare Safety Network (NHSN) has developed and provides FHIR-based Implementation Guides (IGs) to offer a comprehensive framework for healthcare data reporting. This approach balances common standardization through 'Framework IGs' established by HL7 with flexible data adaptability via NHSN's proprietary 'Content Package IGs'.
The Ministry of Health and Welfare (MOHW) announced the latest progress on its FHIR conversion tool. This tool is designed to clean up electronic medical records and map their content to international standard codes. Verification using multiple centers achieved an overall recommendation accuracy of 91.3%.
The One AI Tech Co., Ltd. demonstrates deep integration capabilities between clinical practice and AI technology, aiming for growth through a B2B SaaS model. Specifically, the company utilizes localized Taiwanese medical data to develop an AI that supports FHIR standards, enabling integration into existing HIS systems and developing home care applications using body cameras.
OpenAI acquired Torch, a company consisting of only four experts, for between $60 million and $100 million. This acquisition targets building a 'unified medical memory' for complex healthcare data, demonstrating the immense value of data integration and clinical knowledge necessary for AI to function effectively.
This webinar addresses operational challenges and administrative burdens faced by health plans, exploring how new technologies like HL7 FHIR-compliant APIs and generative AI can modernize complex utilization management workflows while supporting compliance with evolving regulatory requirements such as CMS-0057-F.
人工知能（AI）の進化や接続デバイスの増加に伴い、病院のITインフラは戦略的な役割を担うよう変化している。データ処理能力の向上に加え、FHIRなどの標準規格を活用した相互運用性の確保とサイバーセキュリティが喫緊の課題となっている。
Currently, a lack of shared health information across multiple healthcare providers poses risks such as delayed diagnosis, duplicate tests, and medication errors. The FHIR standard acts as a 'universal translator,' enabling seamless data exchange between different systems.
The Ministry of Health and Welfare is holding workshops sequentially across the north, central, and south regions regarding three major medical standards: SMART on FHIR, FHIR, and CQL. This aims to enable relevant personnel to acquire knowledge and practical skills concerning these international healthcare standards and contribute to building Taiwan's smart healthcare ecosystem.
Taiwan's Ministry of Health and Welfare (MOHW) advanced its 'FHIR one-stop conversion tool.' This tool standardizes electronic medical records by refining text and recommending international codes like SNOMED CT and LOINC, achieving an overall recommendation accuracy of 91.3%.
Complex Event Processing (CEP) platforms analyze streaming data from sources like EHRs and wearables to detect critical patterns such as patient deterioration or medication non-adherence. This enables predictive care and resource optimization within hospitals and smart healthcare ecosystems.
The CAQH Endpoint Directory centralizes and manages FHIR API endpoints published by health plans. This allows developers to retrieve necessary API information in a structured, verifiable manner without having to search multiple websites.
Jason Teeple of Evernorth and Duncan Weatherston of Smile Digital Health highlighted key challenges in healthcare data interoperability. They stressed that successful exchange requires more than just transmitting data; it necessitates improving the entire process, including identifying correct destinations, patient identification, security measures, and obtaining patient consent.
This article compares two approaches—the FHIR Facade and the FHIR Server—for exposing data from existing legacy systems to modern interoperability standards (FHIR). It details the technical pros, cons, and optimal use cases for each solution, helping organizations select the appropriate strategy based on their specific challenges and goals.