This article presents the specific JSON format for a ServiceRequest resource within the MyHealth@Eu Laboratory Report. It explains how a blood test order (Hemoglobin and Hematocrit panel) is structured and utilized in electronic health record systems.
The AI Assistant in Aidbox Forms automates the entire workflow, generating FHIR-compliant Questionnaires, extraction logic, and analytics-ready ViewDefinitions from plain language requests. This significantly shortens the cycle of clinical form creation and improves data utilization efficiency.
Curiflow offers a platform that automatically converts diverse healthcare data, including eFax, PDFs, and CCDA files, into the FHIR format. This solution significantly reduces development cycles while ensuring improved data quality and compliance.
HL7 has published the technical specification for a ValueSet (hl7VSsegmentGroupV500) defining segment groups. This code set is used to specify optional segment groups that should be included in a response.
This article explains how to programmatically retrieve FHIR resources using the Google Cloud Healthcare API. It provides detailed Go and Java code samples, demonstrating the process of accessing specified FHIR resources by utilizing parameters such as project IDs and dataset IDs.
HL7 has released the v2+ vocabulary for 'Action Code,' which indicates record operation status in healthcare information exchange. This is particularly used when a method to correct vaccination information transmitted with incorrect patient identifying information is needed, such as in vaccine messages.
This module explains how to ingest clinical data in FHIR format and integrate it into Microsoft Fabric data solutions. Learners will understand how standardized health data can be analyzed using unified folder structures and various ingestion approaches.
This document details the procedure for retrieving metadata (Capabilities Statements) of a FHIR store using the Cloud Healthcare API on Google Cloud. It serves as a technical guide, providing developers with concrete code samples to advance standardized medical data utilization and interoperability.
This article details a technical workflow that ingests FHIR JSON data, converts it through XML, and maps it into the X12 278 (Prior Authorization) format. The process demonstrates how to achieve automated, end-to-end transformation, including mapping, SNIP validation, and final target delivery.
This article discusses the challenge of database selection for healthcare software developers. It states that structured clinical data requires ACID properties using SQL (PostgreSQL), while high-frequency, semi-structured data from wearable devices is best handled by flexible NoSQL (MongoDB).
A regular technical conference regarding FHIR RDF, organized by David Booth, will be held. The meeting is scheduled to discuss several key topics, including plans for the next version (FHIR R6), implementation of RDF in HAPI FHIR, and integration with DICOM.
The open-source FHIR MCP Server enables access to medical data via natural language interfaces. This article provides a detailed review and comparison of the server's features and several related alternative projects (e.g., FHIR-PYrate, HealthChain).
Tim Benson is a leading expert in health informatics with over 30 years of experience. He has authored works that explain major healthcare IT standards, providing deep insights into medical data standardization and interoperability.
This service provides end-to-end medical IT product development for a wide range of clients, from startups to large government agencies. By combining the latest standards like HL7 FHIR with AI-native infrastructure, it offers B2B solutions addressing complex healthcare challenges.
HL7 has released the specification for 'Data Types,' a code system that specifies the format of observation values used in segments like Observation Result (OBX). This document provides technical details on defining data types for the v2.4 version, crucial for healthcare information exchange.
This article technically explains how to search for FHIR Subscriptions resources within AWS HealthLake. Developers can search subscriptions and topics using not only standard parameters but also detailed custom parameters such as `contact`, `criteria`, `payload`, `status`, `type`, `url`, `filter-criteria`, `custom-channel`, `payload-type`, and `topic`.
HL7 has released a new specification detailing imaging reports for digital health solutions in Europe. This guide defines the structure and content of imaging studies and reports using a FHIR model, ensuring compatibility across various data exchange environments.
This article introduces Whitefox's AI converter, explaining the technology that automatically transforms custom or legacy JSON data into validated FHIR resources. This eliminates complex manual mapping for developers and achieves HL7-compatible data exchange.
HL7 Europe has opened a public review period for four HL7 FHIR Implementation Guides (IGs) designed to meet the requirements of the European Health Data Space (EHDS). This effort standardizes multiple high-priority health data categories, including those defined by eHealth Network and shared assets like the European Health Insurance Card.