Search results for "FHIR": 3,948 articles
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.
A new EvidenceVariable has been defined for the FEvIR platform to track changes in Electrocardiogram (ECG) intervals. This variable supports capturing changes from a baseline measurement.
A variable related to the change in the National Early Warning Score (NEWS) was identified for use within the FEvIR platform. This development aims to standardize the capture of NEWS changes across different healthcare systems.
KL.DK has released a specific code system, KLToolsCodes, adhering to FHIR v4.0.1 standards. This system provides a case-insensitive code structure for enhanced interoperability within the Danish healthcare context.
KL.DK released a FHIR ValueSet named FindingInformerCodes, adhering to the FHIR v4.0.1 standard. This resource provides standardized codes for information related to findings.
A study was registered on the FEvIR Platform (NCT05110014) focusing on participants with PHQ-9 scores greater than 14. This indicates the use of FHIR EvidenceVariable for tracking specific patient health metrics.
InterSystems presented a FHIR façade designed to simplify the process of integrating diverse health data sources. This façade acts as a single interface, abstracting the complexity of various underlying data systems.
Hospitals are leveraging FHIR standards to power applications, clinical decision support systems (CDSS), and smoother care coordination. This adoption aims to streamline complex clinical workflows within healthcare settings.