This article details the FHIR R4 operation, `$confirm-attribution-list`, available in AWS HealthLake. This operation finalizes the attribution list associated with a Group resource by changing its status to 'final'.
AWS HealthLake provides a dedicated operation, `$davinci-data-export`, based on FHIR R4, enabling the extraction of medical data in various formats. This function supports advanced data exports for multiple use cases, including Attribution (ATR) and PDex (Provider/Member access).
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.
In an interview, FHIR founder Grahame Grieve discussed the importance of community and the role of AI. He stated that it is crucial for FHIR to remain open and accessible, expressing high expectations for its adoption and expansion in low-income countries like Africa.
This article explains how to manage Identity and Access Management (IAM) access for a Google Cloud Platform (GCP) Healthcare FHIR Store using Pulumi resources. It details the process of implementing access control to the FHIR store.
Major digital health, healthcare IT, and medtech conferences are scheduled globally in 2025. The list compiles must-attend summits focusing on interoperability standards like FHIR and the latest patient-facing technologies, offering opportunities to grasp overall industry trends.
The Ministry of Health and Welfare revised the 'Healthcare Data Terminology and Transmission Standard,' which defines core items, terminology, and transmission methods for healthcare data exchange. This update expands the application of international terminologies (SNOMED CT, ATC) and incorporates technical specifications for FHIR-based data transfer.
Statistics related to FHIR are made available through the 'External Validation Service Front-end,' provided by IHE. This tool offers a platform that supports healthcare interoperability and is usable by developers and stakeholders.
This article describes a real-time dashboard that optimizes blood product utilization using a FHIR-based data integration pipeline. The system aims to aggregate and process data from multiple sources (such as HIS, LIS) to support clinical decision-making.
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.
The Ministry of Health and Welfare revised the 'Healthcare Data Terminology and Transmission Standard,' which defines key items and terms for healthcare data exchange and utilization. This standard incorporates core data such as life-sustaining care wishes, alcohol consumption status, and smoking status, enhancing international interoperability using FHIR format.
IHE (Integrating the Heathcare Enterprise) provides validation functionality for FHIR resources and requests through its external validation service front-end. This system aims to improve standardization and connectivity in healthcare information exchange, with development contributions from INRIA and KEREVAL/MIR.
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.
The Ministry of Health and Welfare revised the standards for healthcare data terminology and transmission. This revision introduced four key data items—such as end-of-life care preferences, prescription dates, alcohol/smoking status—and expanded the application of international vocabulary standards (SNOMED CT and ATC) to five items.