Search results for "FHIR": 3,725 articles
People Tech Group Inc offers a solution combining Azure Health Data Services and AI. This service modernizes revenue cycle management (RCM) for dental and outpatient clinics, automating processes from billing to insurance handling.
This article provides guidance on applying the FHIR standard to specific use cases, such as eCTD v4.0 and Veeva CRM/Epic EHR integration. It details solutions for international regulatory requirements and technical challenges in areas like pharmaceutical labeling (e-labeling) and clinical research data (eSource/ePRO).
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.
HL7 Korea has published a specific example of an FHIR Observation for respiratory rate, based on the KR Core Implementation Guide v2.0.0. This guide demonstrates how to structure and exchange vital sign data within medical records, adhering to the FHIR R4 standard.
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.
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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.
This article explains how to build a fast, privacy-respecting mobile clinical record system by utilizing the SMART on FHIR standard and implementing local-first storage (Hive). It presents architectural principles for stable data access in environments requiring multiple EHR integrations or weak network connectivity.
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.
The article demonstrates how to update (patch) an FHIR resource using the Google Cloud API with JSON Patch format. Developers can learn specific implementation steps by referencing the provided code sample.
SMART on FHIR utilizes the FHIR standard to embed applications into EHRs, enabling access to patient data. The integration of the Coverage resource (for insurance contracts) and CDS Hooks (for workflow interventions) enhances clinical decision support and payment process transparency.
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.
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WHO and experts position health as the foundation of national development. In Indonesia, a national electronic health platform called 'SATUSEHAT,' utilizing international standards like HL7 FHIR, is being promoted to eliminate data silos and improve efficiency. However, addressing challenges such as digital disparity, privacy protection, and human resource development remains urgent.
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).