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Insights Analytics & Predictive Modeling

Insights Analytics & Predictive Modeling

Insights Analytics & Predictive Modeling

7 verified clients

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Insights Analytics & Predictive Modeling
Insights Analytics & Predictive Modeling

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Overview


Avia Summary

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Insights Analytics & Predictive Modeling is a solution provided by Cured which was founded in 2018. It belongs to multiple categories of digital health solutions including Customer Relationship Management (CRM) and Ratings & Reviews Transparency.
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It has 7 verified clients.
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Insights Analytics & Predictive Modeling integrates with major EMRs such as Epic, Cerner, and Meditech.
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EHR integration

Integrations:

Acute care EMR, Ambulatory EMR, Ancillary EMR, Pop health platform, ADT, Access +/or revenue cycle, Website / public online sources

EMR Integration & Relevant Hardware:

Use case dependent

EMRs Supported:

Epic, Cerner, Meditech, NextGen, Other

Hardware Compatibility:

Desktop, Mobile / Tablet (web optimized)

Description

Our unique Insights engine provides analytic capabilities purpose built to identify high-value, distinct market segments based on core consumer characteristics such as age, gender, income, etc. and uses that information to pinpoint growth opportunities. We leverage both machine learning and analytics features to identify propensity and make related recommendations for audience creation and outreach. Additionally, we can analyze existing system data to identify growth opportunities based on service volume, location, or almost any other applicable, available data point provided by the system.
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Use cases

Description

Our unique Insights engine provides analytic capabilities purpose built to identify high-value, distinct market segments based on core consumer characteristics such as age, gender, income, etc. and uses that information to pinpoint growth opportunities. We leverage both machine learning and analytics features to identify propensity and make related recommendations for audience creation and outreach. Additionally, we can analyze existing system data to identify growth opportunities based on service volume, location, or almost any other applicable, available data point provided by the system.

Pediatric use cases:

Deliver important communications via an omnichannel approach.


Users:
  • CMO
  • CIO
  • Head of Digital Marketing
  • Head of Communications
  • Head of Brand Strategy
  • Head of Patient Experience
Differentiators

Differentiators vs EHR Functionality:
  • HIPAA compliant
  • Out of the box patient journeys
  • Quick, efficient setup
  • Healthcare-specific
  • ML-driven insights engine
  • Simple volume-based pricing structure


Differentiators vs Competitors:
  • HIPAA compliant
  • Out of the box patient journeys
  • Quick, efficient setup
  • Healthcare-specific
  • ML-driven insights engine
  • Simple volume-based pricing structure


Company information

Founded in 2018

12.5M total equity funding

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Reviews


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Reviewer’s Role
  • End user
  • Project manager
  • IT / Technical support
  • Executive sponsor
  • Internal consultant
  • Other

Reviewer’s Org Size
  • XL ($5B+ NPR)
  • L ($3-5B NPR)
  • M ($1-3B NPR)
  • S ($0.2-1B NPR)
  • XS (< $0.2B NPR)

Reviewer’s Org EMR compatibility

Reviewer’s Org Type
  • AMC
  • Pediatric Facilities
  • ACO
  • Rural Presence

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Clients


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  • Partner

  • Vendor

  • Health System

  • Other

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