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About Carrot Health

Carrot Health is a healthcare analytics platform from Carrot Health that provides data-driven insights for health organizations. It combines patient data analysis, predictive modeling, and targeted outreach, so healthcare providers can improve patient engagement and outcomes. The platform equips users with tools to analyze population health trends, identify at-risk populations, and measure the impact of interventions. Additionally, it integrates with existing health record systems for a comprehensive view of patient data. Key capabilities: patient data analysis predictive modeling targeted outreach population health trends intervention impact assessment Best for: healthcare providers that need to improve patient care and operational efficiency through data insights.

Carrot Health Details

Vendor
Carrot Health
Year Launched
2014
Location
150 South 5th Street, Suite 2800, Minneapolis, MN 55402
Deployment
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
Chinese, English, French, German, Italian, Japanese, Korean, Portuguese, Russian, Spanish
Users
Healthcare Providers, Health Insurance Companies, Government Agencies
Industries Served
Healthcare, Insurance, Retail, Hospitality, Government, Telecommunications, Technology
Tags
Data Analysis, Healthcare, Predictive Analytics, Risk Stratification, Population Health Management

Carrot Health's In-App Market Place

Does Carrot Health have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
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Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CNY (¥), CHF (CHF), SEK (kr), NOK (kr), KRW (₩), INR (₹), RUB (₽), BRL (R$), MXN (Mex$), SGD (S$), HKD (HK$), NZD (NZ$), ZAR (R), TRY (₺), AED (د.إ)

Pros & Cons

  • Provides highly accurate predictive modeling for healthcare organizations
  • Utilizes machine learning to improve risk stratification for patient populations
  • Offers actionable insights for providers to improve patient outcomes
  • Helps in identifying high-risk patients for targeted interventions
  • Streamlines data analysis and makes it easier for healthcare organizations to make informed decisions
  • Limited integration with other data analysis tools
  • May require extensive training to use effectively
  • Some users find the interface to be confusing or clunky
  • Occasional glitches or bugs can interfere with analysis
  • Pricing may be prohibitive for smaller organizations or individuals

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