Search results for "FHIR": 1,054 articles
Family physician Paulius Mui discusses modern healthcare's challenges at the intersection of clinical medicine, technology, and data standards. He emphasizes flaws in quality metrics, the reality of AI scribes, and the necessity of standardized back-end infrastructure like FHIR.
The Sequoia Project's working groups are promoting data exchange, compliance, and privacy standards using FHIR.
本ページは、CMSが管理するNPPES NPI Registryより、医師MASON WADE RAU MDに関するプロバイダー情報を公開している。この情報は、氏名、複数の診療所住所、および電子ヘルス情報交換（HIE）への接続情報などを含む。
HDIM offers a deployment-controlled quality measurement platform that does not require moving data outside the local environment. It connects to existing systems, enabling workflow validation and evidence collection within the data boundary, supporting everything from care gap identification to post-implementation proof.
Infor proposes an FHIR-based archival solution to address challenges arising from fragmented IT systems and increasing maintenance costs of legacy EHRs following mergers and acquisitions (M&A). This solution consolidates data from outdated systems, achieving operational cost reduction and improved data accessibility while maintaining compliance.
SHAHID MUHAMMAD MD氏の医療提供者情報が公開された。この情報は、米国のNPI（National Provider Identifier）システムを通じて取得され、複数の診療所や連携先の技術的な接続情報が含まれていることが判明した。
This page provides resources detailing various healthcare standards, including HL7 FHIR, which supports information sharing across Electronic Health Records (EHRs). Specific guidelines are provided for implementing data privacy protection, such as DS4P, and consent management via PCF.
This page introduces the search and management view for 'Code Systems' provided by UMLS (Unified Medical Language System). Users can handle diverse medical code systems, such as CDT and HCPCS, and access detailed information supporting major interoperability standards including FHIR and HL7v2/v3.
This article introduces an integration platform designed to help healthcare organizations comply with CMS interoperability and prior authorization requirements. The system utilizes HL7 FHIR APIs and various access APIs to streamline data exchange between payers and providers.
AWS HealthLake provides the asynchronous FHIR operation, '$davinci-data-export', specifically for medical data export. This feature supports multiple export types—including ATR, PDex Provider Access, and Payer-to-Payer—allowing compliant data extraction meeting DaVinci implementation guide requirements.
Elait Health was recognized as a Representative Vendor in the 2025 Gartner Market Guide for Health Data Management Platforms. The company's AI-powered, FHIR-native platform is credited with modernizing health data management to accelerate cost reduction and value creation.
AWS HealthLake provides the $confirm-attribution-list operation based on FHIR R4. This feature is used to finalize the member attribution list attached to a Group resource.
VectorCare introduces 'SoFaaS™', a proprietary runtime that centralizes compliance and security reviews for apps using SMART on FHIR, significantly accelerating the process from development to deployment in hospitals.
Healthcare institutions are advancing the adoption of AI agents into Electronic Health Records (EHRs), with integration into major platforms like Epic and Cerner being a key focus. This article explains the concrete integration methods and technical challenges by utilizing standards such as FHIR and SMART-on-FHIR, which these systems support.
The implementation of Electronic Health Records (EHR) is transforming healthcare information management across Latin America. EHRs are not merely digital files, but dynamic databases that centralize clinical and administrative data in real-time. This enables safe and efficient patient care across regions, with interoperability based on international standards like HL7 and FHIR being crucial.
This document explains the FHIR R4 '$confirm-attribution-list' operation within AWS HealthLake. This mechanism is designed to finalize a group resource's attribution list, transitioning its status to 'final'.
CMS introduced voluntary criteria for trusted data exchange, with over 60 companies pledging participation. At the state level, New York and California are strengthening regional data sharing frameworks. These developments enhance FHIR-based interoperability, advancing utilization for more sophisticated use cases.
Drummond has launched a new FHIR client app testing and certification program. This complements the existing CMS FHIR testing and certification program, transforming how health IT organizations validate adherence to HL7 FHIR standards.
Kodjin Analytics provides a single FHIR-based longitudinal record to address data fragmentation in university hospitals, enabling real-time identification of chronic disease management gaps and care deficits. This facilitates proactive outreach and quality improvement.
Amidst the AI boom, healthcare data remains fundamentally fractured and characterized by high entropy. Professionals express deep concern over external data quality, creating a