This service provides enterprise-grade FHIR R4 storage, ensuring secure clinical data storage through automatic encryption, tenant isolation, and immutable audit trails. Developers can focus on their application while the platform manages infrastructure and compliance.
This page provides a comprehensive guide to the Model Explorer feature for FHIR models. Users can import/export data in JSON format and manage library backups/restores. It details visual data manipulation methods, including adding nodes, deleting elements, and changing layouts.
According to an eHealth Exchange FHIR consultant, payers, providers, and EHR vendors are expected to work more closely together. This increased cooperation is driven by the realization that following new interoperability rules results in cost savings, addressing the CMS' 2027 compliance deadline.
Health Samurai has become an organizational member of HL7, the global community for healthcare interoperability standards. This move signifies more than just status; it reflects a commitment to actively contributing to discussions and initiatives that shape the future of health data exchange.
This article details practical mapping techniques for translating legacy healthcare data into FHIR resources. It emphasizes that successful data model design requires structural, semantic, and operational considerations beyond simple field-to-field transformation.
A security advisory concerning FHIR has identified an XXE (External Entity) vulnerability within the Ucum-java library, found during XML parsing. This flaw was published on December 13, 2024, with a CVSS score of 8.6 (High).
This document details the technical specifications for exchanging 'clinical notes,' which are crucial for communicating a patient's current status. It defines how eight common clinical note types and three diagnostic report categories must be handled based on the HL7 FHIR standard.
This article explains how clinical laboratory results should be handled as digital reports using FHIR. By utilizing the DiagnosticReport resource, it standardizes comprehensive informationβincluding not just numerical values but also text, images, and codes.
The Finnish Health Data Hackathon focused on standardizing FHIR-based care plans and computable guidelines (CPG). Key discussions covered international challenges and technical approaches, such as utilizing CRMI for knowledge sharing and modeling ValueSets for concept definition.
SNOMED CT is the world's largest clinical terminology set, systematically representing diseases, findings, procedures, etc. By combining it with structural standards like FHIR, it supports international interoperability and enables unified semantic representation of clinical data.
This study compared the impact of different serialization strategies when inputting FHIR-compliant patient records into Large Language Models (LLMs) for medication reconciliation during healthcare transitions. The results showed that the optimal input format varies depending on the model and data volume, emphasizing the critical importance of maintaining high recall.
The Dicom Systems 'Unifier Medical Image Workflow Cloud Appliance' provides a secure and flexible medical imaging workflow environment by integrating disparate systems through advanced DICOM/HL7 routing and FHIR support. It is an optimal solution for modern healthcare facilities handling over 98 billion annual images.
The healthcare middleware market is projected to grow from $4.6 billion in 2024 to $9.6 billion by 2034, expanding at a CAGR of 7.6%. This growth is driven by the need for real-time data access and improved operational efficiency across diverse medical systems.
The European Health Data Space (EHDS) has published detailed mapping specifications for its service request model, based on FHIR v5.0.0. This specification defines the structure and mapping methods for the EHDSS ServiceRequest logical model.
This article explains the standardized framework, 'CDS Hooks,' developed by HL7 International. It describes a mechanism for embedding external clinical decision support services into Electronic Health Record (EHR) systems using an event-driven model, achieving real-time, context-aware support via FHIR.
Three major players in digital healthβTieto Caretech, x-tention, and Betterβhave formed a strategic partnership. This collaboration aims to accelerate the development of next-generation open, patient-centered healthcare systems in the DACH region.
Microsoft shared technical highlights, including reusable search controls using FHIR and handling recursion with Blazor components. The post also provided updates regarding security matters.
Microsoft published a blog recap for September 2021 on Healthcare and Life Sciences. The highlights cover diverse topics, including data analysis using Azure API for FHIR, hosting hackathons for nurses, and enhancing employee experience with Viva.
VSAC (NIH) provides an integrated interface for managing multiple code systems, including UMLS and CDT. The page introduces methods of linking with various data exchange standards, such as FHIR R4, and features detailed code search and definition capabilities.
A Bundle resource, including history information, was retrieved from a FHIR server test environment. This response contains metadata and link structures for a specific binary resource (Binary/2856882), used to validate data exchange based on the HL7 FHIR standard.