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What is fhirstation?

This solution, built on FHIR v4, leverages native FHIR data models and a RESTful API to guarantee adherence to USCDI v1, thereby enabling the complete storage and provision of USCDI v1 data for both patients and partners. It facilitates the secure export of electronic health information, ensuring safe access for patients. By connecting your EHR, payer systems, or any health technology to fhirstation, you can swiftly meet the compliance requirements of the Final Rule. Fhirstation functions as a robust, scalable, and secure multi-tenant Software as a Service (SaaS) platform specifically designed for EHR vendors, health plans, hospitals, providers, and other entities obliged to furnish patient data per the USCDI v1 FHIR v4 API and the electronic health information export directives outlined in the HHS final rule and CMS interoperability standards. This platform effectively removes obstacles to information sharing by promoting data exchange across patients, health IT developers, health systems, EHR vendors, and payers. Furthermore, fhirstation is strategically designed to be SMART on FHIR ready, setting the stage for next-generation patient access applications while nurturing a collaborative healthcare environment. Such innovations are essential for enhancing patient engagement and improving overall healthcare outcomes.

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.

Media

Media

Integrations Supported

Arintra
CaseManager DX
EHNOTE
EndoManager Imaging
Health Studio
ImageGrid PACS
Innovatum
MedServe
OAuth
Provider Passport

Integrations Supported

Arintra
CaseManager DX
EHNOTE
EndoManager Imaging
Health Studio
ImageGrid PACS
Innovatum
MedServe
OAuth
Provider Passport

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

Iron Bridge

Date Founded

2011

Company Location

Finland

Company Website

www.ironbridgecorp.com/fhirstation

Company Facts

Organization Name

HL7

Date Founded

1987

Company Location

United States

Company Website

www.hl7.org/fhir/http.html

Categories and Features

Categories and Features

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