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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 Perception Health CARE?

Elevate your risk management capabilities and enhance the quality of care for your community by utilizing the disease prediction models available in CAREâ„¢. Our platform offers an extensive overview of medical claims data on a national level, which can be customized to address the precise requirements of our clients in detail. By analyzing billions of medical claims, our advanced models identify critical risk factors associated with early disease onset or the need for surgical procedures. With access to this essential information, healthcare professionals can begin diagnoses and treatments sooner, potentially saving lives in the process. Although our prediction models are developed using a vast array of national data, they are equally adaptable to your own electronic health records, population health systems, or member claims databases, allowing for a more tailored approach. Moreover, our physician matching functionality connects patients with the most appropriate healthcare providers, improving their treatment journey toward the best possible outcomes. Utilizing clinically relevant data, our state-of-the-art disease prediction models can detect individuals at risk of developing various conditions, empowering you to reach out and start treatment before issues worsen. This proactive approach not only leads to better patient outcomes but also streamlines the overall healthcare delivery process, ultimately benefiting the entire community. By embracing these tools, healthcare organizations can transform their approach to patient care and risk management.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

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

Perception Health

Date Founded

2014

Company Location

United States

Company Website

www.perceptionhealth.com/care

Categories and Features

Categories and Features

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