Search results for "FHIR": 1,661 articles
Following discussions at the Asia Bio-Convergence Conference, medical AI has shifted focus from technical novelty to practical challenges like 'data governance,' 'regulatory certification,' and 'clinical scalability.' Experts emphasize that success hinges not just on algorithm accuracy, but on building standardized data infrastructure and reengineering clinical workflows.
NOJ Health Systems offers bidirectional information exchange solutions utilizing major open standards like HL7, FHIR, DICOM, and ASTM to accommodate diverse clinical environments such as hospitals and laboratories. This system functions not merely as an add-on module but as the core architecture itself.
Microsoft announced that many of its products and services will undergo phased deprecation by 2026 due to end-of-support cycles. This includes multiple technical components such as Azure API for FHIR.
グローバルインフォメーションは、個人健康記録（PHR）ソフトウェア市場が2024年の96億7,000万米ドルから2033年には202億米ドルへと拡大し、CAGR 8.53%で成長すると予測した。
This article explains the structure and usage of the FHIR Reference data type. It details how different link formats (relative, absolute, etc.) identify target resources and connect information within a payload.
The author details the architecture for converting legacy HL7 v2.5 messages into modern FHIR R4 resources. Initially attempting a pure Python solution, the process encountered significant challenges related to MLLP handling, complex HL7 parsing, and message routing, leading to the adoption of a two-service structure using Mirth Connect and FastAPI.
Bala Chandar is a specialist in DICOM/HL7/FHIR integration who contributes to building reliable imaging workflows through PACS deployment and operation in multi-site hospitals. He has over 6 years of experience, specializing in enhancing interoperability between RIS-PACS-HIS.
RB Alliance develops clinical tools and patient data management systems for the healthcare and medtech sectors, prioritizing privacy, safety, and interoperability. They utilize standards like HL7/FHIR to achieve data linkage with existing EHR and PMS systems.
SafePaper has released a suite of web tools specialized for local processing of medical data. By enabling validation and conversion of standard formats like DICOM, HL7 v2, and FHIR directly within the browser, it significantly reduces the risk of transmitting sensitive healthcare information externally.
The eHealth Infrastructure in Denmark has published mapping specifications for the 'thread id' extension, based on FHIR. This specification contributes to improving data structuring and interoperability in healthcare information exchange.
The development team enhanced the document reference search function within an electronic health record system. This allows searching not only for traditional IPS documents but also for various types like MeOW and IT, broadening the scope of information sharing.
The data mapping tool 'FUME' determines writes to FHIR resources using a mechanism called FLASH blocks. This process involves the staged handling of input context and the target FHIR structure, resulting in the generation of a final resource object.
This resource tracks who accessed what patient data, when, and for what purpose. The FHIR AuditEvent resource provides structured evidence essential for ensuring privacy, security, and compliance in healthcare systems.
Detailed technical specifications for the "CID 6208 Colon Types of Quality Control Standard," found in DICOM PS3.16, have been published. This standard is a critical benchmark for ensuring quality assurance in colon examination medical imaging data.
FHIR Extensions allow the exchange of local or project-specific healthcare data that is not covered by base resources. This enables systems to add extra information without creating incompatible custom versions.
A proof-of-concept study was conducted using large language models (LLMs) to extract medical information from unstructured clinical text, aiming to enhance the interoperability of healthcare systems. The primary focus was mapping this extracted data to standards like FHIR.
A benchmark experiment revealed that when answering a single clinical question, an AI agent can fail to find information due to the process of traversing large amounts of data, resulting in incorrect 'cannot find' answers. This failure stems from structural challenges inherent in FHIR reference pointers and the cumulative constraints of the context window.
Haici provides an AI-native interoperability platform to resolve fragmented healthcare data. It enables real-time clinical surveillance and predictive readmission risk management, supporting the shift toward value-based care.
Developing healthcare apps as 'FHIR-native' does not require recreating every capability from scratch. It is crucial to leverage existing FHIR servers and guides while focusing custom efforts on unique clinical workflows and product experiences.
Rachel Dunscombe, new CEO of HL7, emphasizes that proper data infrastructure is essential for leveraging Artificial Intelligence (AI). She highlights the critical shortage of FHIR expertise globally, stressing the need for international skill development.