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Description
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Product Capabilities
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EHR integrations
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Jump to:
Categories
Solutions
Description
Compatibility Level
Clients
Product Capabilities
Use cases
EHR integrations
Client types
Differentiators
Keywords
Media
Company details
Briya AIRE
Briya AIRE

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Categories

Solutions

Description

Product Description:

Briya AIRE, the first clinical-grade AI research environment, is transforming medical research by redefining how researchers access, interact with, and derive insights from healthcare data.

It simplifies the traditionally fragmented and complex processes of data preparation and analysis by harmonizing, standardizing, and converging diverse data sources, eliminating the need for complex coding and labor-intensive data cleaning. Acting as an intelligent virtual research assistant and epidemiologist, AIRE enables seamless exploration of complex, multi-source medical data (both structured and unstructured) with unmatched speed and precision. Equipped with nine purpose-built AI agents, AIRE supports users at every stage of the research lifecycle: from defining study designs and patient cohorts to testing hypotheses, visualizing trends, conducting advanced analytics, and accelerating the journey from data to discovery. All of this is made possible through an intuitive, natural language-enabled interface.

By combining research expertise with a secure data-sharing network, advanced de-identification, and virtual research rooms, AIRE delivers a holistic solution for sensitive data analysis, seamlessly integrating with internal and external partners, workflows, and data ecosystems.

Maintaining the highest standards of privacy and regulatory compliance, AIRE is leading a paradigm shift from static, siloed data systems to dynamic, AI-driven research workflows, reshaping research efficiency and precision, and powering the next generation of healthcare innovation.

About Briya:

Briya is a secure and compliant medical data exchange platform designed to accelerate health innovation for healthcare providers and life sciences.

Product Description:

Our proprietary Health Fabric technology offers zero-waste data orchestration to protect your top and bottom lines. Seamlessly integrate disparate data sources and create a unified view of healthcare operations.

By breaking down data silos, Health Fabric enables:

• Real-time data synchronization across systems

• Enhanced data quality and consistency

• Improved interoperability between healthcare platforms and tools

• Faster, more accurate analytics and reporting

About MedeAnalytics:

Founded in 1993, MedeAnalytics is an innovation-focused company. Over the past three decades, we have worked tirelessly to reimagine healthcare through the power of data—and helped thousands of organizations achieve their potential along the way.

Leveraging state-of-the-art analytics and data activation, MedeAnalytics delivers actionable insights that support payers, providers, employers, and public entities as they navigate the complex healthcare landscape.

Using artificial intelligence and machine learning alongside the most advanced data orchestration in the industry, we empower organizations to optimize their resource allocation, experience superior patient outcomes, and achieve population health management goals.

Compatibility level

Select which hospital or health system you work at and see a personalized compatibility level.

Clients

Select which hospital or health system you work at and see the client list

Product Capabilities

Seamlessly supporting research file uploads and integrating with datasets, EHRs, imaging systems, clinical trial platforms, and registries, Briya AIRE simplifies how users access and interact with data.

Privacy-by-design and federated architecture with expert-determined true anonymization, secure, compliant remote access, while data remains at the source. Compliant with HIPAA, GDPR, and global standards, enabling seamless cross-institutional collaboration.

Trained on clinical data and built by epidemiologists and research experts, Briya AIRE delivers scientifically sound insights with zero risk of hallucination.

Once your data has been ingested, cleansed and normalized in our secure platform, all clinical, financial and operational data is available to your organization in an enterprise single source of truth. Utilize our AI-powered, Integrated Analytics solutions and Data Science Factory™ to transform operations and streamline workflow, addressing complex business needs such as: • Identify and address revenue leakage points, recapturing lost income • Streamline billing processes, accelerating reimbursement cycles • Predict and prevent claim denials, improving first-pass resolution rates • Implement data-driven strategies to enhance overall financial performance • Quantify the quality of pre-service activities and increase POS collections • Gain visibility into the direct drivers of cost of care to optimize performance and improve margins on a continuous cycle

Use Cases

Description:

Hospitals & Health Systems:

Sponsored clinical research

Interoperability

Improving care

**

Life Sciences and Research:

Clinical Trials-

Cohort finding

Pre-study research

Synthetic control arm

Decentralized trials

**

Market Access and HEOR-

Accurate assessment of the market

Introducing a new drug to the market

Post-introduction of the drug to the market

**

RWE-

From conditional to full approval

Population bridging

Label expansion

Multi-centered research

Comparative & long-term effectiveness

**

Monitoring-

Pandemic tracking

Vaccine deployment

Pharmacovigilance and adverse event tracking

Pediatric use cases:

Briya's network is avalable for all types of data and research.

Users:

Hospitals

Academia

Researchers 

Life Science Companies

Description:

None provided

Pediatric use cases:

None provided

Users:

None provided

EHR Integrations

Integrations:

Acute care EMR, Ambulatory EMR, Ancillary EMR, Other

EMR Integration & Relevant Hardware:

None provided

EMRs Supported:

Epic, Cerner, Meditech, Allscripts, NextGen, athena, eClinicalWorks, Athenahealth

Hardware Compatibility:

Desktop

Integrations:

Acute care EMR, Ambulatory EMR, Ancillary EMR, ERP system, Patient portal, Pop health platform, Home health, Behavioral health, Community based organizations, ADT, Access +/or revenue cycle, Credentialing, Website / public online sources, Other

EMR Integration & Relevant Hardware:

Recommended, but not required

EMRs Supported:

Epic, Cerner, Meditech, Allscripts, NextGen, athena, GE, eClinicalWorks, McKesson, Other, Allscripts/Eclipsys, Athenahealth, Azalea Health/Prognosis, CPSI, Evident, Healthland, MEDHOST, MedWorx, QuadraMed, Self-developed, Would prefer not to disclose, Point Click Care

Hardware Compatibility:

None provided

Client Types

Differentiators

Differentiators vs EHR Functionality:

None provided

Differentiators vs Competitors:

None provided

Differentiators vs EHR Functionality:

The Health Fabric is a data powerhouse that integrates and unifies millions of clinical, financial and patient datapoints to enable accurate, reliable and secure information exchange, across all data sources. This Unified Data Exchange is designed to integrate with every major EMR, payer, clearinghouse, bank and other data sources. This fluid transfer of data has hundreds of pre-built connections to integrate with multiple data sources, helping to simplify implementation, uphold data integrity and facilitate a seamless connection to the source of truth

Differentiators vs Competitors:

Specifically built for healthcare, MedeAnalytics Health Fabric delivers unparalleled power and scalability in data activation. This robust foundation empowers clients to fully harness their data assets within a unified and secure environment, seamlessly connecting multiple data sources and integrating with other solutions, ensuring rapid information delivery at the point of care.

Keywords

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Videos

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Downloads

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https://www.calcalistech.com/ctechnews/article/ryjyc4vya
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https://hitconsultant.net/2025/04/01/medeanalytics-launches-health-fabric-on-snowflake-ai-data-cloud/

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Company Details

Founded in 1993

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