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Ratings and Reviews 0 Ratings
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What is HL7 FHIR?
FHIR is described as a 'RESTful' framework, which corresponds with the broader industry understanding of REST principles. However, it mainly operates at Level 2 of the REST Maturity Model in its fundamental specifications, while full Level 3 compliance can be achieved through the integration of extensions. As a standardized framework, FHIR depends on the consistency of resource structures and interfaces, which some critics might argue is at odds with REST's foundational concepts; nevertheless, this standardization is essential for ensuring effective interoperability among diverse systems. Each distinct "resource type" comes with a specific set of interactions, enabling meticulous resource management. Applications that claim to comply with this framework identify as "RESTful FHIR," highlighting their commitment to these established standards. Moreover, within this RESTful architecture, transactions are conducted directly on server resources through HTTP requests and responses, reinforcing the framework's functionality and integrity. This organized methodology not only boosts interoperability but also simplifies the development process for applications leveraging FHIR, ultimately leading to more efficient healthcare solutions. Additionally, the clarity provided by FHIR's structured approach helps developers focus on creating robust applications that can easily integrate with existing health information systems.
What is Google Medical Imaging Suite?
Google Cloud's Medical Imaging Suite is designed to transform how organizations approach imaging diagnostics by guaranteeing that imaging data is readily accessible, interoperable, and advantageous. This suite delivers a secure, compliant, and entirely managed service that oversees healthcare data across multiple formats, including FHIR, HL7v2, and DICOM, as well as unstructured text in natural language. By leveraging cloud infrastructure, it simplifies the storage and sharing of vast collections of medical images commonly found in the healthcare industry, making these processes both efficient and cost-effective. The Cloud Healthcare API enables the reading of DICOM instances, studies, and series in accordance with the DICOMweb standard, enhancing functionality. Moreover, the suite not only bolsters research capabilities but also enhances the overall patient experience by offering comprehensive solutions for data storage and analysis. It also provides valuable guidance on best practices and concepts for integrating third-party medical imaging viewers with the Cloud Healthcare API, ensuring that users enjoy a smooth experience. This integrated approach effectively streamlines workflows, encourages collaboration, and fosters innovation across the medical imaging field, ultimately leading to improved healthcare outcomes.
Integrations Supported
Anthos
Google Cloud BigQuery
Google Distributed Cloud
Looker
NVIDIA DRIVE
NetApp Cloud Insights
OAuth
Vertex AI
Integrations Supported
Anthos
Google Cloud BigQuery
Google Distributed Cloud
Looker
NVIDIA DRIVE
NetApp Cloud Insights
OAuth
Vertex AI
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
HL7
Date Founded
1987
Company Location
United States
Company Website
www.hl7.org/fhir/http.html
Company Facts
Organization Name
Date Founded
1998
Company Location
United States
Company Website
cloud.google.com/medical-imaging