1,676 FHIR-related articles (latest first)
This study proposes a method for integrating multiple medical information systems using Health Level Seven (HL7) and FHIR. It is an academic effort that presents a concrete solution to the complex challenge of data linkage.
Helios Software has released the Helios FHIR Server (HFS), a high-performance FHIR server. This product supports full RESTful API functionality and multiple FHIR versions, enabling its use as a robust foundation for healthcare data exchange.
When searching for FHIR resources, the query parameter `_sort` can be used to sort the returned results based on specific criteria. This allows developers to precisely control the display order of the retrieved data.
University researchers presented research findings on integrating medical information systems using Health Level Seven (HL7) and Fast Healthcare Interoperability Resources (FHIR). The study demonstrates the potential for data linkage through a specific case study.
This study demonstrated that Patient-Generated Health Data (PGHD) from wearable devices can be integrated into the European Health Data Space (EHDS) using FHIR standards. By utilizing Garmin devices and a Fitrockr hub, a prototype was built to securely transfer structured data.
FHIR (Fast Healthcare Interoperability Resources) is a technology that enables the standardization and exchange of medical data. Utilizing this in the cloud solves data sharing challenges, contributing to higher quality patient care and research advancement.
FHIR Lab provides a sandbox environment for testing and validating standards-based digital health solutions.
npj Digital Medicine reported a method for real-time prediction of next generation sequencing (NGS) results using machine learning via the Heme-STAMP project. This system demonstrates potential clinical application by integrating with Electronic Health Record (EHR) data and utilizing the FHIR API.
A developer has released a cross-platform CLI tool to solve the challenges of bulk resource updates using FHIR APIs. This tool eliminates the manual effort and error risk associated with creating JSON Patch (RFC6902) payloads from spreadsheets.
The article addresses the difficulty of information exchange in large hospitals due to coexisting standards (HL7 v2, FHIR) and numerous subsystems (PACS, LIS). It presents a case study detailing the implementation of smart clinical decision support (CDS) using an MCP architecture.
This article explains advanced operations in JSONata for the data transformation tool FUME. It focuses on functions like $keys(), $lookup() (object manipulation), and advanced features such as $merge(), $map(), and $zip(). These techniques allow for more flexible and efficient structuring of input data and mapping to FHIR resources.
The integration of Artificial Intelligence (AI) with the FHIR standard is significantly advancing how healthcare data is shared and utilized. This combination enables advanced patient care, including improved diagnostic support, personalized treatment planning, and predictive risk assessment.
John Moehrke has provided a ValueSet (AuthPurposesVS) defining 'Authorization purposes for delegation access' for FHIR v4.3.0. This serves as a standardized code system detailing the scope of information access granted by a patient to family members.
Microsoft Azureを利用し、PowerShellコマンドレットを用いてFHIRサービスリソースの更新方法が示されている。この機能は、医療データ交換のための標準規格であるFHIRに対応したサービスの管理に役立つ。
This article is a technical guide for managing and deleting the FHIR destination of an IoT Connector within a Microsoft Azure environment. Developers learn how to use the `Remove-AzHealthcareIotConnectorFhirDestination` PowerShell cmdlet to remove this connection from specific resource groups.
A Master Patient Index (MPI) is crucial for eliminating duplicate patient records across multiple systems, maintaining a single, accurate patient identity. Integrating this with FHIR enables EHRs and telemedicine providers to instantly access the latest data, thereby improving data reliability and interoperability.
HL7 has released the specification for a ValueSet called 'Diagnostic Service Section ID,' which is used to identify the observation site of diagnostic services. This code set includes 45 concepts covering diverse medical fields, such as blood gases and imaging.
This article provides a sample data set defining a fictional practitioner, 'JohnMoehrke,' based on the FHIR v4.3.0 specification. This resource demonstrates the basic structure for personal information and contact details within an electronic health record system, aiding understanding of standard medical information representation.
openFHIR is an engine that implements the FHIR Connect specification, enabling bidirectional mapping between openEHR and FHIR. This enhances interoperability across different healthcare systems and promotes data utilization.
The Global Alliance for Genomics and Health (GA4GH) has developed the Phenopacket Schema, a standard for sharing disease and phenotype information. This schema can comprehensively describe an individual's clinical data, including rare diseases, offering more detail than just a list of HPO terms.