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Solutions
Description
Compatibility Level
Clients
Use cases
EHR integrations
Client types
Awards
Differentiators
Keywords
Media
Company details
Jump to:
Categories
Solutions
Description
Compatibility Level
Clients
Use cases
EHR integrations
Client types
Awards
Differentiators
Keywords
Media
Company details
Ensight
Ensight

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Categories

Solutions

Description

Product Description:
With one-click deployment of the world’s leading clinical AI algorithms, Ferrum’s Enterprise AI Platform protects your patient data, reduces the IT costs, and accelerates the delivery of your AI. initiatives. AI Application Catalog: +50 of the leading commercially available AI applications ranging across all specialities and imaging modalities. AI Validation and Monitoring: Autonomous tooling to provide clinical performance clarity for AI drift and bias. AI Orchestration: Privately deployed infrastructure, maintaining all PHI behind your existing firewall, reducing IT burden.
About Ferrum Health:

Product Description:
Healthcare has always been challenged to transform the massive amounts of data that it produces into actionable insight. Over 50% of healthcare executives consider data utilization a high priority. Enlitic can demonstrate how you can benefit immediately from standardizing your medical imaging data while building the foundation for the future. The starting point of making informed decisions begins with curated, governed, standardized data. When you go back to the hospital, look at how much data you have stored in your imaging archive/VNA. And then look at what it costs you to store and protect the decades of images in your archive and ask yourself, “Can I turn that cost into a benefit?” Enlitic can make your imaging data work for you.
About Enlitic, Inc.:
Enlitic Inc. is a pioneer in medical deep learning that leverages proprietary algorithms to quickly and accurately improve healthcare diagnosis. With a platform developed by renowned data scientists, machine learning practitioners, and medical experts, Enlitic is able to analyze a wide variety of healthcare data sources, including billions of clinical cases, to improve diagnostic accuracy, speed and patient outcomes, as well as accelerate pharmaceutical research and drug trials. Named one of the world’s “50 Smartest Companies” by MIT Tech Review, Enlitic is based San Francisco and serves customers around the world.

Compatibility level

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Clients

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Use Cases

Description:

Ferrum providees health systems and radiology practices the ability to deploy enterprise scale AI solutions with minimum IT involvement, improved security and clinical clarity. 

Pediatric use cases:

None provided

Users:

Radiologists

Description:

Bandwidth is wasted sending entire imaging studies to an AI algorithm for processing or radiologists are expected to identify what series should be processed by the algorithm. Enlitic standardizes studies and series so that only the appropriate images are sent to the algorithm

Pediatric use cases:

None provided

Users:

Radiologists

PACS Administrators

EHR Integrations

Integrations:

Other

EMR Integration & Relevant Hardware:

Required

EMRs Supported:

GE, McKesson, Cerner

Hardware Compatibility:

None provided

Integrations:

Other

EMR Integration & Relevant Hardware:

Not applicable

EMRs Supported:

Not applicable

Hardware Compatibility:

Other

Client Types

None provided
None provided

Awards

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Differentiators

Differentiators vs EHR Functionality:

Ferrum integrates with PACS

Differentiators vs Competitors:

Standard, Containerized Applications

Autonomous Validation and Monitoring 

Private Deployment (On-Prem, Hybrid Cloud, Private Cloud)

Differentiators vs EHR Functionality:

N/A

Enlitic enhances the EHR by standardizing medical image data that can be used for enterprise benefits - analysis, quality improvement, monetization

Differentiators vs Competitors:

Medical imaging data standardization

Artificial intelligence for anonymization

Keywords

Images

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Videos

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EnliticIntroductoryVideo_Draft2.mp4

Downloads

No content provided

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Company Details

Founded in 2014

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