Search results for "FHIR": 1,661 articles
FHIR Adaptive Forms enhance clinical data collection by dynamically assembling questionnaires based on context. This allows for more efficient and personalized data gathering, ensuring that only relevant information is collected from patients and clinicians.
FHIR (Fast Healthcare Interoperability Resources), developed by HL7 International, utilizes modern web technologies to enable the international exchange of structured medical data. This facilitates seamless interoperability between diverse systems and contributes to the advancement of digital healthcare.
The PanCareSurPass Project has published mappings for the Chemo therapy logical model. These detailed mappings are based on FHIR R4 and describe associations with multiple resources, including MedicationAdministration.
This webinar introduces how to revolutionize the healthcare sector by combining MongoDB, the FHIR standard, and Artificial Intelligence (AI) for advanced data management. A practical application is demonstrated using Leafy Hospital, tracking the entire data lifecycle of an oncological patient from prevention through follow-up.
This article introduces the trends and capabilities of major IT solution development companies in the accelerating field of healthcare digitalization. These firms contribute to solving global healthcare challenges through advanced technologies, such as building FHIR-compliant platforms and modernizing Electronic Health Records (EHR).
Maria Ryzhikova of Aidbox demonstrates how AI can significantly improve FHIR Structured Data Capture (SDC) workflows. She highlights the ability to convert clinical PDFs into structured Questionnaires and achieve multilingual support from a single definition.
Multiple training courses covering major healthcare data exchange standards such as FHIR, HL7 V2, and HL7 V3 are offered. These range from advanced implementation to foundational messaging concepts.
Fast Healthcare Interoperability Resources (FHIR), developed by HL7, has emerged as the leading standard to address interoperability barriers and data inconsistencies. This review comprehensively analyzes FHIR's role and challenges in global digital health strategy through integration with EHRs and AI.
Firely offers 'Firely Server Scale,' a robust server product compliant with the HL7 FHIR standard for healthcare institutions and IT companies. This product can be used across development and production stages, featuring core FHIR API functionalities alongside Smart on FHIR and MongoDB/SQL support.
This article explains that HL7 FHIR is available as a standard for handling medical information such as electronic health records and clinical notes. It emphasizes the importance of utilizing FHIR to solve challenges in data exchange between different systems.
HAPI FHIR provides a dedicated module for Android developers, enabling the use of FHIR model classes and client functionality. The client is optimized to request only JSON responses, requiring caution when integrating with servers that support only XML encoding.
This service offers comprehensive training to clinical research professionals, enabling them to build a data pipeline that seamlessly integrates electronic health records (EHRs) with sponsor's clinical trial databases. This addresses the challenges of evolving clinical trials and healthcare data management.
The emergence of Artificial Intelligence (LLMs) is shifting the handling of medical information from mere structure and syntax toward understanding 'meaning' and 'context'. Consequently, existing standards like FHIR are becoming essential not just as frameworks, but as foundational structures that provide 'semantic grounding' for AI.
Aidbox introduced OrgBAC (Organization-Based Hierarchical Access Control) and Topic-Based Subscriptions to address complex data management challenges in healthcare networks. This allows large hospital groups to exchange information safely and in real time, while ensuring each facility only accesses its own dedicated data.
The digital health sector is undergoing a 'digital renaissance,' requiring medical software development to evolve. This guide outlines the importance of AI, remote monitoring, and interoperability (FHIR/HL7) for startups and enterprises building solutions.
openFHIR is an engine that implements the FHIR Connect specification, facilitating bidirectional mappings between openEHR and FHIR. This documentation provides a comprehensive guide covering its overview, technical setup, and usage.
CitiusTech offers 'PERFORM+ Connect,' a product designed to accelerate interoperability strategy and FHIR implementation for healthcare organizations. The solution addresses enhanced data exchange among payers, providers, and pharmaceutical companies, supporting various use cases including CMS regulatory compliance.
The global precision medicine software market is projected to grow from USD 2.26 billion in 2025 to USD 6.10 billion by 2034, with a CAGR of 11.67%. This growth is driven by the expansion of AI-powered clinical decision support tools and the shift toward multi-omics integration combining various data types like genomics and proteomics.
Using Synthea, it is possible to generate realistic synthetic patient data without privacy concerns. This API provides comprehensive medical records in FHIR R4 bundle format, including demographics, conditions, medications, and procedures, making it useful for EHR testing and machine learning research.
The EMA Digital Business Transformation Task Force is hosting an information session on December 3, 2024, regarding the use of FHIR XML in the web-based electronic application form (eAF) for NCA. The webinar targets technical staff at NCAs but is also relevant to other NCA staff members.