1,676 FHIR-related articles (latest first)
John F. Moehrke is an architect contributing to global healthcare data exchange and privacy protection. He has led standards like HL7 and IHE, providing expertise on FHIR Consent management and handling sensitive data.
This article details how to retrieve the properties of a specified IoT Connector's FHIR destination using the `Get-AzHealthcareIotConnectorFhirDestination` cmdlet from the Az.HealthcareApis module. It explains checking configuration details for healthcare data linkage within an Azure environment.
This article provides a technical explanation of the FUME Mapping Language, which combines JSONata and FLASH. It introduces how structure description is handled by FLASH and data manipulation is performed, demonstrating practical implementation methods for mapping data into FHIR resources.
FHIR is an international standard developed by HL7 that defines the structure for electronically exchanging health data between IT systems. It enables the open and transparent aggregation of data from diverse sourcesβsuch as medical institutions, apps, and wearablesβmaking it available in a format suitable for analysis.
FHIR offers a modern solution to the challenge of data fragmentation in electronic medical records and billing systems. The article explains how FHIR has become a global standard for data exchange, improving patient care and data access through its future evolution (such as R6).
The Lowy Institute highlighted the critical need for AI-driven tobacco control solutions across Southeast Asia, given its high smoking rates. It proposed that effective deployment requires a unified digital infrastructure and common data models to enable cross-border data sharing among member states.
Outcome Healthcare offers automatic conversion of CCD/CCDA documents into FHIR Bundles, maintaining message traceability and provenance. The platform ingests diverse data formats (HL7V2, V3, FHIR, CCDA) in real-time or batch, standardizing them into FHIR v4 for processing and secure storage.
The global healthcare EDI market, valued at US$4.1 billion in 2023, is projected to reach US$7.1 billion by 2029 with a CAGR of 9.7%. This growth signifies that adopting EDI is no longer just an IT decision but a strategic business imperative for improving operational efficiency and ensuring regulatory compliance.
Global standardization of dental health data is progressing, utilizing HL7 FHIR for the data exchange format and SNOMED CT for clinical terminology. This aims to build internationally usable dental information systems.
The Regenstrief Institute released the latest version of LOINC (version 2.81), adding Arabic for Jordan and Czech for the Czech Republic. This expands LOINC's language support to 22 languages, significantly boosting global healthcare data interoperability.
This article provides a detailed technical explanation of the 'Validation' process within FHIR for medical data exchange. It emphasizes the importance of ensuring submitted files comply with standards and Implementation Guides (IG), comparing various tools like Validator, Inferno, and YAFVA in the process.
Ensuring interoperability is essential in modern healthcare. Specifically, FHIR data mapping is crucial for converting legacy HL7 communications into patient-centric workflows. The article explains the necessity of clinical data standards, the characteristics of both HL7 and FHIR, and practical mapping processes.
This article discusses the necessity of ensuring data compatibility for successful telemedicine apps. It states that adopting standardized formats like HL7 and FHIR, along with API integration and data mapping, can achieve seamless data exchange between systems.
This systematic review examines semantics-driven approaches to improve the data quality of Electronic Health Records (EHR). It highlights that utilizing standardized vocabularies and knowledge graphs is crucial, moving beyond simple NLP techniques.
This article explains the 'vRead' operation, which allows requesting a specific version of an FHIR resource. By including a version string in the URL, users can access historical data using the format: `[baseUrl]/[resourceType]/[id]/_history/[versionId]`.
Outcome offers the ability to generate CCDA documents from HL7 FHIR bundles. This capability is specifically targeted towards EHR systems that rely on IHE transactions for data exchange.
This study proposes an approach to ensure data quality when transforming Real-World Data (RWD) from EHRs and registries into analyzable formats. Specifically, it introduces a data completeness assessment pipeline that validates the process across multiple transformation stages involving HL7 FHIR.
An implementation of the Model Context Protocol (MCP) server integrates with a FHIR server, providing tools to create and read specific medical resources (such as Patient or Appointment). This serves as a quick prototyping example demonstrating MCP and FHIR integration.
Outcome Healthcare ensures that data entering the HIE platform undergoes quality checks, error handling, and processing. This process guarantees that every transaction is ingested with a full audit trail for tracking.
iEHR has developed Fiscus, a solution built on HL7 FHIR to support workflows for billing, payments, and coverage. This bridges the gap between clinical and financial systems, ensuring transparent and efficient revenue cycle management.