Search results for "FHIR": 1,661 articles
Academic publishing company Elsevier acquired health technology firm Wellsheet, which aggregates and synthesizes EHR data. The integration aims to combine Wellsheet's EHR data tool with Elsevier’s AI-powered clinical decision support solution, providing patient-specific guidance at the point of care.
The European Association of Hospital Pharmacists (EAHP) has released a FHIR-based technical guide to standardize the connection of robots and automation systems in hospital pharmacies. This simplifies complex interfaces between different vendor systems, improving logistics and safety.
Mental healthcare faces a data problem where information is scattered across disconnected systems. Modern platforms are evolving beyond simple scheduling and journaling, requiring robust connectivity with existing EMRs and the ability to exchange data via FHIR APIs.
This MCP server, developed by a healthcare IT engineer, integrates three core medical standards—DICOM, HL7v2, and FHIR—into one package to achieve data interoperability. It is notable for addressing practical challenges such as PACS connectivity and cross-standard mapping.
Service Points offers a comprehensive revenue cycle management solution combining HIPAA-compliant X12 transaction sets (837/835, etc.) with FHIR APIs. This automates everything from eligibility checking to payment processing, achieving faster billing cycles and improved claim accuracy.
Trove has released an interactive FHIR viewer that allows users to upload and locally analyze FHIR bundles, enabling the comparison of multiple datasets. This tool ensures data privacy by processing all information entirely within the user's browser, eliminating the need to send Protected Health Information (PHI) to external servers.
FHIR APIs move beyond basic data sharing to achieve clinically useful interoperability. This allows healthcare providers to access necessary data quickly, complete with proper context, enabling better next-step decisions.
The FHIR Observation resource is the primary structure for recording all types of measurements and assessment results related to a patient. This allows quantifiable clinical findings—such as lab results, vital signs, and lifestyle data—to be handled uniformly, forming a foundation for health information exchange.
This document details the mappings for the FHIR `ehealth-questionnaire-advanced` resource profile across multiple standards, including HL7 v3 and FiveWs. This aims to ensure interoperability of questionnaire data within electronic health records.
本ガイドは、FHIRネイティブな問診票リマインダーや患者サーベイランスワークフローをFire Arrow Serverを用いて構築する方法を解説している。定期的な症状モニタリングが必要な慢性疾患プログラムなどにおいて、標準化された質問票（例：PHQ-9）のスケジューリングとデータ収集を一元管理できる。
This event will demonstrate how structured data using FHIR Structured Data Capture (SDC) enables the execution of real clinical workflows across diverse settings, including hospitals and home care. Specific use cases are presented, ranging from AI-powered natural language interviews to standardizing ICU records and managing UK waitlists.
This article details the modular, five-layer architecture of the AJ Smart FHIR Platform. Each layer—from applications to infrastructure—is independently deployable and replaceable, outlining a detailed technical flow for EHR launch and component interaction.
This specification defines the 'Person name lookup' operation provided by eHealth Infrastructure. The function aims to look up citizens using a social security number (CPR) and retrieve matching patient or basic information.
This article introduces a free online tool for creating an 'Integration Topology Diagram,' which maps the data exchange pathways between multiple clinical systems. Users can visualize and document the connection status of various systems, including EHR, PACS, and LIS, based on protocols like HL7 and FHIR.
This article defines a set of concepts within the HL7 FHIR CodeSystem, specifically related to Questionnaire Item Type. This system comprehensively describes various question formats and properties corresponding to different data types, providing guidelines for handling structured data in healthcare information exchange.
本記事は、医療情報交換標準であるFHIR R4における「VisionPrescription」リソースの詳細な仕様を解説している。このリソースは、患者向けの視力矯正製品に関する処方内容をデジタルデータとして表現するための枠組みを提供する。
This article details the `FUME_EVAL_LOG_LEVEL` setting for the FHIR converter, FUME. This variable controls the minimum severity level of evaluation policies emitted to the evaluation logger, allowing developers to adjust diagnostic logging.
The FHIR R4 specification details the resource elements for 'Slot,' which defines available time slots in healthcare. This information serves as a crucial technical reference for developers building healthcare IT systems like EHRs and booking platforms.
This document details the specifications for the 'Location' resource within FHIR R4. This resource provides a structured framework for describing physical places or facilities in healthcare settings. Key elements defined include identifiers, names, geographical coordinates, and operational hours.
InterSystems announced the details of technology bonuses for its programming contest focused on implementing AI agents using FHIR. The contest encourages participants to leverage advanced healthcare IT technologies such as FHIR server usage, vector search, and Large Language Models (LLMs).