Search results for "FHIR": 1,661 articles
'Hospital-at-Home (HaH)' programs are delivering acute, hospital-level care in patients' homes by combining wearables, AI, and telehealth. This approach shows promise for improving patient satisfaction and reducing readmissions, but its widespread adoption faces hurdles related to reimbursement, data security, and interoperability gaps.
MyEliteHealth is a platform designed for cardiologists and sports medicine physicians that continuously monitors patient physiological data, offering AI-generated SOAP notes and structured data export in FHIR R4 format. It complements clinical judgment by utilizing objective longitudinal data collected outside the consultation room.
The author loaded the same dataset (1,000 Synthea patients) into HAPI FHIR and Google Cloud Healthcare API and found that both servers returned different responses across multiple queries. Significant interoperability issues were identified, particularly concerning data ingestion and transaction handling.
healsens-fhirmcp is an MCP server designed to allow AI agents safe and predictable access to existing FHIR data. It acts not as a thin proxy, but deeply understands the structure and semantics of FHIR to provide read-only data access.
@atomic-ehr/codegen is a generator that automatically produces strongly typed Pydantic models from any FHIR package. This eliminates the need for developers to wrestle with raw dictionaries or guess field names, enabling type-safe coding practices.
OMOPHub provides a comprehensive solution for the complex challenge of medical vocabulary management through APIs. This allows development teams to be freed from infrastructure setup and terminology updates, enabling them to focus on research and clinical workflows.
NeoHealthCard offers a platform compatible with global healthcare standards including HL7, FHIR, and DICOM. This enables the secure and efficient exchange of electronic health records and medical imaging data, ensuring seamless interoperability and patient-controlled security across institutions.
This document defines the structure for a 'Sharing Approval Policy' when sharing medical resources with national data banks. This policy is treated as a set of resources conforming to specific profiles, detailing constraints and obligations through extensions.
In FHIR, data elements not present in the base specification can be added as 'Extensions' while maintaining interoperability. This allows new concepts, such as a patient's preferred pronouns, to be incorporated into systems.
SMART on FHIR builds upon OAuth 2.0 to provide a standardized framework that securely enables healthcare applications to access Electronic Health Record (EHR) data. It addresses gaps in endpoint discovery and scope management, significantly reducing integration complexity while enhancing security.
This session explores how to prepare data for AI and regulatory expectations through interoperable architectures using HL7 FHIR. Attendees will discuss methods to make their own data reusable, trustworthy, and ready for future requirements.
The article emphasizes that establishing 'Trust' is crucial for healthcare data exchange, noting that security must go beyond mere speed. It explains how technical layers like UDAP and FAST Security IG enable secure data sharing across broad B2B/B2C/B2B2C environments, addressing limitations in previous authentication methods.
Electronic Product Information (ePI) is not merely a content delivery format, but an issue concerning the creation, structuring, and governance of regulatory information. Organizations are advised to proceed toward FHIR readiness incrementally while maintaining existing processes.
Data fragmentation is a persistent challenge in modern healthcare. While legacy systems like HL7 v2 struggle to solve this, utilizing the modern standard FHIR and specifically its 'Bundle' feature enables fast and reliable large-scale data exchange.
ADT messages, which notify changes in a patient's status (admission, transfer, etc.), are exchanged between EHR systems using the FHIR standard. This enables multiple healthcare organizations to share real-time patient information, contributing to safer medical care.
Researchers introduced H-AdminSim, a comprehensive multi-agent simulator designed to replicate hospital administrative workflows. The system adheres to the FHIR standard, providing a standardized environment for validating LLM automation.
Tieto Caretech, x-tention, and Better have formed a strategic partnership to build the next generation of open, patient-centric healthcare systems. They aim to address challenges in existing monolithic hospital systems by providing an open, modular ecosystem based on international standards like FHIR and openEHR.
ๆฌ่จไบใฏใHL7ใจFHIRใๅบ็คใจใใ็ถ็ถ็ใชใฑใข๏ผContinuity of Care๏ผใซใใใใใผใฟ็ธไบ้็จๆงใๅฎ็พใใใใใฎๅฝขๅผ็ใชใณใใญใธใผใซใคใใฆ่ซใใฆใใใๅ ทไฝ็ใชๆ่กไปๆงใๅญฆ่ก่ซๆใฎๅ ๅฎนใ็คบๅใใใฆใใใ
FHIR็ตฑๅ้็บ่ ใฏใๅฎ็ฐๅข๏ผ็ ้ข๏ผใธใฎใขใฏใปในใๅฐ้ฃใชใใญใฃใใใป22ใใซ็ด้ขใใใๆฌ่จไบใฏใๅใชใๆง้ ๆค่จผใ่ถ ใใ่จๅบ็ใซๆทฑใใใผใฟใๆฑใใใจใงใใใ็พๅฎ็ใชใในใๆฆ็ฅใๆๆกใใฆใใใ
Researchers established a simulation protocol to investigate how input data representation formats affect the diagnostic fidelity of small language models (SLMs) in primary care pipelines. The results suggest that ontologically rich openEHR format yields superior performance, highlighting the importance of structured data representations.