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

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Categories

Solutions

Description

Product Description:
Roam is transforming how the healthcare industry analyzes patient and provider pathways through a machine learning platform purpose-built for healthcare. Analysis powered by Roam's platform and applications enable our customers to improve development, marketing, and outreach across a wide range of therapeutic areas. Roam's approach centers around the Roam Health Knowledge Graph™ (“RHKG”), a pre-built structured data ontology with a dedicated focus on healthcare. In the RHKG, healthcare entities are organized according to meaningful relations derived from numerous data sources. These entities include drugs, devices, diseases, procedures, providers, physicians, and many more. Public data sets have been used to develop this structure so that new data sets, whether structured or unstructured, can be integrated to create a single, integrated data asset consisting of any number of different data sources. The result is an unprecedented, ever-more comprehensive view of the industry that unlocks the value of existing data to enable more effective decision-making.
About Roam Analytics:
Roam is transforming how the healthcare industry analyzes patient and provider pathways through a machine learning platform purpose-built for healthcare. Analysis powered by Roam's platform and applications enable our customers to improve development, marketing, and outreach across a wide range of therapeutic areas. Roam's approach centers around the Roam Health Knowledge Graph™ (“RHKG”), a pre-built structured data ontology with a dedicated focus on healthcare. In the RHKG, healthcare entities are organized according to meaningful relations derived from numerous data sources. These entities include drugs, devices, diseases, procedures, providers, physicians, and many more. Public data sets have been used to develop this structure so that new data sets, whether structured or unstructured, can be integrated to create a single, integrated data asset consisting of any number of different data sources. The result is an unprecedented, ever-more comprehensive view of the industry that unlocks the value of existing data to enable more effective decision-making.

Compatibility level

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Clients

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Use Cases

Description:

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Pediatric use cases:

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Users:

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EHR Integrations

Integrations:

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EMR Integration & Relevant Hardware:

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EMRs Supported:

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Hardware Compatibility:

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Client Types

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Differentiators

Differentiators vs EHR Functionality:

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Differentiators vs Competitors:

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Keywords

Images

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Videos

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Company Details

Founded in 2013

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