Search results for "FHIR": 3,120 articles
The discussion focuses on the intersection of FHIR standards, regulatory requirements, and technological innovation. This suggests ongoing industry focus on adapting healthcare data exchange to meet global standards.
CH EMED released updated mappings for the MedicationRequest resource. This update is part of the CH EMED (R4) implementation guide, based on FHIR v4.0.0.
CH IPS has released a new FHIR specification (CH IPS) version 1.0.0. This specification is designed to be implementable and testable, adhering to standards set by HL7 and ISO.
API Connects provides services to build secure, FHIR-ready APIs for the healthcare sector. These APIs aim to address gaps in current healthcare data exchange capabilities.
A JSON representation for the Medication for Immunization (Priorix) against MMR was published by fhir.ch. This resource is part of the CH VACD (R4) standard, which is based on FHIR (HL7ยฎ).
The article discusses how an improved data-driven workflow can transform laboratory diagnostics. This transformation is achieved by supporting established interoperability standards such as FHIR and OpenEHR.
fhir.ch released an updated profile for Observations of notifiable communicable infectious diseases. This update is based on the STU 1 Draft standard.
XponentL launched a suite of industry data products on Databricks. These products are designed to transform complex FHIR bundles into formats ready for analytics and AI.
The content describes a learning lab focused on ingesting FHIR data via the Healthcare API. This resource helps users understand the basic functionalities required for FHIR data integration.
The system demonstrated the use of various FHIR resources to handle appointment booking information. This implementation showcases the use of FHIR standards for managing clinical appointment data.
Flexpa connects to numerous payer FHIR endpoints, establishing a large and diverse FHIR network. This indicates a broad integration capability across various healthcare data sources.
The discussion emphasized that FHIR and SNOMED provide a strong foundation for the effective use of AI in healthcare. These standards are crucial for ensuring data quality and mitigating bias in AI applications.
The discussion focuses on the broad application of FHIR standards beyond mere interoperability compliance. It suggests that FHIR can be utilized for various advanced development purposes.
Documentation details are available for querying the FHIR Encounter resource via an API endpoint. This includes guidance on using query parameters for multiple related resources, such as ReferralRequest.
Sundhed.dk has published an XML representation of its eHealth System. This resource utilizes FHIR standards for interoperability.
A study was conducted using the FEvIR EvidenceVariable platform to examine the use of the Patient Health Questionnaire (PHQ-9). This initiative aims to track and analyze the reporting of thoughts of self-harm in clinical settings.
Google Cloud is deprecating certain features of the Cloud Healthcare API. Users are advised to use alternative methods, such as storing de-identified image annotation data.
The RED interchange API enables the submission of FHIR bundles via a POST request. This mechanism is designed to facilitate the creation of new data coverage.
AWS released a decision-maker's guide covering FHIR architecture fundamentals and implementation strategies. The guide helps organizations decide whether to buy off-the-shelf solutions, partner, or build their own FHIR systems.
A new FHIR EvidenceVariable resource has been defined to model changes from baseline in clinical chemistry parameters. This allows for standardized tracking of how patient values change over time.