1,063 FHIR-related articles (latest first)
Anjan Kumar Gundaboina of Optum built a secure digital backbone enabling telemedicine and record sharing. He utilized FHIR API gateways to achieve both high accessibility and regulatory compliance (HIPAA, etc.).
HL7 has released the specification for the code system
RamaOnHealthcare moved its FHIR interoperability solution into production for both payers and providers.
AWS HealthLake offers 'FHIR Subscriptions' to provide real-time notifications when specific healthcare data changes occur. This enables the building of event-driven healthcare applications, allowing immediate response to clinical data changes and enhancing workflows and care coordination.
Achieving seamless data sharing between mobile health apps and Electronic Health Records (EHRs) requires utilizing the standard FHIR developed by HL7. This enables patient data to be exchanged securely and in a standardized format across multiple systems.
This guide explains the process of setting up and managing event monitoring (Subscriptions) for FHIR data using AWS HealthLake. It covers the entire lifecycle, from topic creation to subscription setup, activation, error handling, and deactivation.
VectorCare announced a new SMART on FHIR app, enabling the embedding of patient logistics management capabilities into major EHR systems like Epic, Cerner, and Allscripts. This allows hospitals to significantly streamline discharge and post-acute care coordination processes.
VectorCare announced the launch of its new SMART on FHIR app. This application enables major EHR systems, such as Epic, to manage comprehensive patient logistics, including hospital discharge and post-acute care, directly within existing workflows.
HL7 has released a new code system, the "Advanced Beneficiary Notice Code (2.3.1 - 1.0.0)", designed to specify the consent status of patients or their representatives regarding payment responsibility. This aims to satisfy medical necessity requirements for outpatient services in the United States.
C-CDA, the backbone of electronic health information exchange, faces limitations in meeting modern real-time data needs. Consequently, industry efforts are advancing data conversion from C-CDA to HL7 FHIR, a format that is more flexible and cloud-ready, significantly improving analytics and patient access.
This technical documentation provides examples of how to programmatically update a FHIR resource using Google Cloud's Cloud Healthcare API. Developers can reference implementation examples in Go and Java to change the status (active/inactive) of a FHIR resource within a specific dataset.
ใใฆใณใใตใคใใคใฎใใฃใใทใฅใใใปใณใฟใผใฏใ้ปๅญใซใซใใใ่จๅบ่ฉฆ้จใใฉใใใใฉใผใ ใธใฎใใผใฟ่ชๅ่ปข้ใๅฏ่ฝใซใใใใใใซใใใๅปๅธซใจ็ ็ฉถ่ ใๆ ๅ ฑใใใๆญฃ็ขบใใคๅน็็ใซๅ ฑๆใงใใใใใซใชใใใชใณใณใญใธใผๅ้ใฎ็ ็ฉถๅ ้ใซ่ฒข็ฎใใใ
The Mount Sinai Tisch Cancer Center has implemented a system that automatically transfers clinical data from its electronic health record (EHR) into clinical trial platforms. This allows doctors and researchers to share information faster and more accurately during cancer clinical trials, significantly reducing manual effort and time.
The healthcare industry is leveraging Fast Healthcare Interoperability Resources (FHIR) standards and Artificial Intelligence (AI) to significantly improve utilization management processes. This automation streamlines prior authorization, enhances data exchange transparency, and promises faster patient access to care.
ๆฌ่จไบใฏใ้ปๅญใซใซใๆจๆบใงใใFHIRใไธญๅฟใซใๅฐๆฅ็ใช่ ๅจใจใชใ้ๅญใณใณใใฅใผใใฃใณใฐใฎใชในใฏใๆๆใใใผใฟใฎ้ทๆไฟๅญใๅฟ ่ฆใชๅป็ๅ้ใซใใใฆใ็พๅจใฎๆๅทๅๆ่กใงใฏๅฏพๅฟใงใใชใใๅ็ฉซๅพ่งฃ่ชญใใฎใชในใฏใๆทฑๅปใงใใใไปใใๅฏพ็ญใ่ฌใใๅฟ ่ฆๆงใ่จดใใฆใใใ
The Mount Sinai Tisch Cancer Center implemented an automated system that seamlessly transfers clinical data from electronic health records directly into clinical trial platforms. This eliminates manual entry errors and inefficiencies, accelerating cancer research.
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.
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.
This guide explains how to use the POST request method for searching FHIR resources within an AWS HealthLake data store. The use of POST is recommended as a security best practice when searching sensitive information, such as PII or PHI.
Global Alliant is driving digital transformation for healthcare organizations and government agencies through FHIR interoperability and cloud modernization. This enables data-driven decision-making, contributing to improved public health outcomes.