Search results for "FHIR": 3,725 articles
HealthTrixss, built by industry veterans with over 20 years of experience, offers programs for risk adjustment, revenue management, and advanced analytics. They utilize FHIR-compliant platforms and AI tools to solve complex healthcare challenges.
FUME provides a real-time data interceptor that captures and transforms healthcare data streams. This ensures immediate compliance with FHIR standards, preventing interruptions in critical workflows like clinical alerts or monitoring updates that rely on rapid data exchange.
This service addresses the difficulty developers and clinical informaticists face when dealing with raw JSON payloads. By using the FHIR Viewer, complex FHIR JSON data is converted into a human-readable format, simplifying validation and sharing.
A new process has been established for clinicians and standards experts. This allows stakeholders to propose changes to the International Patient Summary (IPS) suite of standards, ensuring their continued accuracy and global applicability. Proposed changes can include corrections or improvements to existing standards, scope enhancements, or the addition of entirely new standards.
Outburn has introduced 'FUME,' a proprietary real-time data conversion engine. It enables non-intrusive, bidirectional data exchange between legacy formats like HL7 v2 and the modern FHIR standard.
Outburn has implemented a solution using embedded FUME Community Edition to establish seamless, standardized communication between healthcare organizations and insurance providers. This automates the payment authorization process that previously required patients to wait upon arrival, enabling real-time eligibility checks before medical care.
HL7 has released a code system for 'Religion' in the v2+ format. This CodeSystem includes identifiers for various denominations, such as Atheist, Catholic, and Hindu, helping to standardize faith information within medical data.
CSIRO is advancing the transformation of Australiaβs healthcare system using technologies like AI and FHIR. This effort aims to improve electronic health record sharing, enhance data accessibility, and advance sophisticated disease risk assessments.
InterSystems emphasized that realizing the full potential of AI in healthcare requires a reliable and interoperable data foundation. The company aims to implement clinically useful AI by providing platforms that integrate and govern data from diverse systems based on open standards like HL7 and FHIR.
This course teaches methods for ingesting and processing data in industry standard formatsβFHIR, HL7v2, and DICOMβusing the Cloud Healthcare API. Furthermore, it includes practical training on building prediction models with FHIR data and de-identifying datasets.
This article introduces a method to eliminate complex authorization logic in FHIR-based applications. By utilizing SMART on FHIR V2 scopes combined with Keycloak's composite roles, it is possible to achieve a system where a single API endpoint dynamically provides different data based on the calling user type, all without custom code.
Firely provides FHIR-based products and services to payers, providers, and digital health innovators, helping solve complex challenges related to sharing and utilizing healthcare data. This aims to enhance the overall connectivity and innovation within the healthcare ecosystem.
HL7 released the ValueSet 'hl7VScalendarAlignmentV100' to specify the alignment between repetition cycles and calendar dates. This helps clearly distinguish between expressions like 'the 5th of every month' and simple period specifications like 'every 30 days.'
At HIMAA 2025, the Australian e-Health Research Centre (AeHRC) showcased innovative use cases leveraging Sparked FHIR. They demonstrated how a single calculator was built by extracting data from GP records using FHIR APIs, highlighting its potential for clinical decision support at the point of care.
The Japan Association for Medical Data Utilization Infrastructure (IDIAL) will hold a specialized modeling training seminar starting November 2025. The seminar aims to teach practical skills, including information model construction using UML and mapping to HL7 FHIR.
This article provides technical guidance for developers using AWS HealthLake, detailing the process of obtaining a FHIR Discovery document. It outlines how client applications can identify the correct authorization endpoints and supported resources for a given HealthLake data store.
The Ministry of Health and Welfare's Information Department announced that to solidify Taiwan's smart healthcare foundation, it has set three key governance priorities: Data Governance, AI Governance, and Cybersecurity Governance. This includes ensuring data interoperability through the adoption of international standards like FHIR and SNOMED CT, and establishing frameworks for responsible AI implementation and management.
This study systematically reviewed various architectural patterns to address the fragmentation and interoperability challenges in Health Information Systems (HIS) during digital health transformation. It found that microservices and distributed ledgers are predominant, with FHIR-based contracts stabilizing interfaces.
As EHRs become universal, poor true interoperability remains a major safety hazard. This article explains how the FHIR standard, based on modern web APIs, enables real-time and secure data exchange compared to traditional HL7 v2 or legacy systems, thereby improving hospital workflows and accelerating SaMD adoption.
This article explains how to view the contents of a FHIR profile package in both project-based and standalone environments. It details the mechanism of 'Extensions,' which allows users to add user-defined data elements beyond the core structure.