Search results for "FHIR": 1,661 articles
MedCom has published an 'Acknowledgement TestScript' based on FHIR R4. This script is designed to validate the fatal error handling process when duplicate acknowledgements occur upon message receipt.
This platform provides a solution that supports hybrid models, integrating care between clinics and homes. It offers a unified system for collecting and exchanging structured patient data using standards like FHIR and IHE.
Open Health Hub has announced a comprehensive interoperability suite based on FHIR. This suite is applicable to any Electronic Health Record (EHR) or Electronic Medical Record (EMR) environment, promoting standardization and data sharing in digital healthcare.
This project aims to improve health services for both medical professionals and patients by designing a workflow scenario that utilizes FHIR for skin lesion image management. The goal is to integrate not only the images but also associated metadata, annotations, diagnostic reports, and skin lesion data sharing.
FHIR is a programming interface developed by HL7, used to smoothly exchange patient data among different healthcare systems. This enables care teams to connect patients to community resources and reduce manual data entry tasks.
Electronic Health Record (EHR) integration is a foundational requirement for modern healthcare systems. By connecting various platforms used by hospitals and clinics, it ensures that patient data flows securely and accurately, thereby improving clinical decision-making and operational efficiency.
Medical device teams recognize that integration with Electronic Health Record (EHR) systems is as critical as performance and accuracy. Consequently, enterprise-grade integration services, which ensure reliable data exchange, have become the decisive factor in medical device adoption.
This article explores how implementing microservices architecture using the HL7 FHIR standard can solve persistent problems in healthcare information systems, such as data fragmentation and inefficient workflows. This approach enables the realization of patient-centered care that is highly scalable and resilient.
This article addresses the persistent hurdle of achieving true interoperability in healthcare IT, explaining how combining the HL7 FHIR standard with microservices architecture provides a solution. This combination enables the creation of systems that are scalable and resilient enough to support patient-centered care.
Agentic AI refers to systems that autonomously take action toward a goal, going beyond simple question answering. To realize this advanced capability, standardized data access and mechanisms for action provided by FHIR are essential.
Roche points out that a robust digital infrastructure is essential for safely managing and integrating medical data, which is necessary to utilize artificial intelligence (AI) and advanced diagnostic technologies within healthcare systems. The utilization of data exchange standards like HL7 and FHIR is crucial for building this infrastructure.
Googleは、大規模な電子健康記録（EHR）データを扱うためのAIエージェント「EHR Navigator Agent」を開発した。このエージェントは、Fast Healthcare Interoperability Resources (FHIR) 規格に基づき、患者の複雑な医療記録から必要な情報を抽出・統合する能力を示すデモンストレーションである。
This article details the technical aspects of LangCare's MCP FHIR server. This server integrates various data sources and functions, enabling the provision of information to Large Language Models (LLMs). Developers can find instructions for installation via npm or manual build/execution.
The SQL on FHIR working group is targeting a March timeframe for the release of SQL on FHIR 2.1. This update aims to standardize how FHIR data is flattened and queried specifically for analytical purposes.
Eforto Health offers a data-sharing service utilizing the FHIR API. The page presents related products and pricing lists for this solution.
Firely emphasizes that making correct technical and structural decisions early in the FHIR implementation process is crucial. Through consulting, they offer comprehensive support to help organizations address challenges without vendor lock-in.
This article addresses the challenges of building medical forms in mobile apps and introduces `fhir_renderer_questionnaire`, a package that uses FHIR (Fast Healthcare Interoperability Resources) standards to automatically generate user interfaces. This allows developers to handle complex conditional logic, validation, and data collection using standardized formats.
This study explores integrating HL7 Fast Healthcare Interoperability Resources (FHIR) into a Clinical Decision Support System (CDSS), utilizing a Pepper humanoid robot to support doctor visits in a hospital setting. By having the robot act as a data collection interface, it aims to seamlessly integrate and visualize data from patients and clinical monitors, thereby streamlining the diagnostic process for doctors.
This page provides an extensive list of test definitions for healthcare data interoperability within the FHIR Sandbox environment. Specific validation is available for core resources like CareTeam and DiagnosticReport, covering basic CRUD operations (Create, Read, Update, Delete). This serves as a crucial reference point for developers building robust interfaces compliant with standard specifications.
This page provides the interface and detailed technical specifications for searching FHIR resources. Users can select from standard schema definitions, FHIR profiles, or custom FHIR resources, configuring HTTP methods and search parameters accordingly.