Search results for "FHIR": 1,661 articles
A FHIR extension specification, 'Administrative status,' has been defined for the Danish healthcare information system. This feature tracks how a message recipient handled a message and is crucial for tracking message handling status within electronic health records (EHRs).
Maria Ryzhikova of Aidbox Forms explains the evolution of FHIR Structured Data Capture (SDC) using AI. This demonstrates that it can significantly reduce manual effort in designing complex medical forms and data collection processes.
The PreNUDGE Consortium has released a FHIR extension (IG) called 'Observation Sleep Duration' for the purpose of data provision from apps. This enables the standardized exchange of sleep duration data between medical applications.
The document details the definition and usage of 'Extension,' an optional mechanism for adding supplementary information within FHIR resources. This element is crucial for maintaining interoperability by standardizing the storage of additional data that falls outside the base data definitions.
A FHIR ValueSet was defined to contain the intersection of two SNOMED CT ValueSets related to 'Administration Method Codes'. This enables the integrated use of standardized codes concerning specific administrative methods.
A critical vulnerability was found in HAPI FHIR, an implementation of the HL7 FHIR standard. This flaw allows attackers to exhaust CPU resources and cause a Denial of Service (DoS) by sending malicious regular expression patterns.
A demo account is available through an online tool that converts HL7 data into the FHIR R4 standard. This allows developers to easily perform compatibility checks and test system integration.
Digital health does not start with an app, but with medical questions and unmet care needs. True value is realized only when this knowledge is translated into technology and linked with data, leading to measurable outcomes in clinical settings.
A 'Patient' resource retrieved from the HAPI FHIR REST Server was displayed in a format compliant with specific healthcare interoperability standards (IHE). The data includes basic information like names and addresses, along with extended fields such as mother's maiden name.
Fractal Analytics offers a service leveraging the HL7 FHIR standard on Azure Stack Edge. This supports the integration of disparate EHR/EMR systems, enabling secure and HIPAA-compliant processing and sharing of Protected Health Information (PHI).
Companies like Amgen have developed new API interfaces utilizing FHIR in the field of Chemistry, Manufacturing, and Controls (CMC). This aims to solve traditional data exchange challenges, enabling advanced analysis through AI and application to digital regulatory exchange models.
A FHIR profile is a StructureDefinition resource that constrains or extends a base FHIR resource to meet specific use case requirements. This article details design guidelines, emphasizing the importance of starting with logical models and understanding concepts like 'obligations' introduced in R5.
Evolving evidence shows that evaluating medical AI safety requires moving beyond simple accuracy. Through multi-axis benchmarks like MedAgentBench and adversarial red-teaming, organizations can now quantitatively identify real-world risks and implement targeted improvements.
Rhapsody provides a single integration platform to address challenges like data silos and standard inconsistencies in healthcare. This enables real-time, stable data exchange across diverse standards such as FHIR and HL7 v2.
The PanCare project updated 'SurPass,' a follow-up management system for childhood cancer survivors, to v2.0. This new version supports the international healthcare data exchange standard HL7-FHIR, significantly improving data linkage accuracy and efficiency.
CaboLabs Health Informatics offers numerous practical training courses based on major healthcare standards such as FHIR and openEHR. These courses are rooted in real consulting experience, enabling participants to acquire the necessary technical knowledge for designing modern healthcare IT systems.
Advanced analytics are required to utilize fragmented and unreliable healthcare data for clinical research. The article explains that building 'computable cohorts' using standards like FHIR and OMOP is essential for efficient trial execution.
ITC Infotech offers a FHIR-based interoperability solution for the healthcare industry. The platform utilizes MS Azure FHIR API to collect and integrate clinical data from multiple systems and standards.
The FHIR Working Group (WG) is focusing on 'SQL on FHIR' to standardize query methods for data analysis. Participants are working to solve technical challenges, including compiling CQL into SQL and addressing complex data mapping issues.
Google, the Linux Foundation, and WHO established the 'Open Health Stack Software Foundation' to provide a common open-source foundation for healthcare. This aims to enable information exchange between previously siloed medical systems and applications, facilitating next-generation digital health, including AI medicine.