RAAPID

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AI-based technology platform enhancing risk adjustment coding and clinical decision-making for healthcare.

Pricing Model: Subscription
Updated: 05/23/2025

Our numbers

Not Disclosed
Employees
Not Disclosed
Founded in
Series A
Funding Series
Not Disclosed
Funding Amount

RAAPID offers a robust AI-driven platform designed to revolutionize risk adjustment coding and facilitate improved clinical decisions within the healthcare industry. Utilizing advanced technologies such as Natural Language Processing (NLP), Optical Character Recognition (OCR), and Machine Learning (ML), RAAPID helps healthcare organizations optimize their risk adjustment processes, improve patient care, and ensure accurate reimbursements. The technology targets health plans, healthcare providers, medical coding companies, and HealthTech companies, aiming to enhance data insights, efficiencies, and decision-making.

The platform stands out with its capabilities to seamlessly integrate with existing healthcare systems and handle both structured and unstructured data. RAAPID’s solutions include risk stratification tools, clinical decision support systems, and comprehensive retrospective and prospective coding tools, all designed to streamline healthcare operations, drive quality improvements, and support financial performance.

Pros:

  • Enhanced coding accuracy and clinical decision support
  • Integration of multiple AI technologies
  • Comprehensive risk adjustment solutions
  • Innovative data transformation capabilities

Cons:

  • Potential complexity in implementation
  • High dependency on data quality
  • Costs may be prohibitive for smaller organizations

Features:

  • NLP and ML Integration - Advanced Natural Language Processing and Machine Learning capabilities for accurate data transformation.
  • Risk Adjustment Tools - Comprehensive set of tools for both retrospective and prospective coding.
  • Real-time Decision Support - Tools like HCC SAGE for clinical decision support.

Integrations:

  • EHR Systems - Seamless integration with existing Electronic Health Record systems for efficient data management.
  • Healthcare Data Platforms - Integrates with various healthcare data platforms to enhance data processing and analysis.

Pricing:

  • Subscription-based model - Offers various tiers depending on the size and needs of the organization.

Implementation Timeline

Not Disclosed

Onboarding

Not Disclosed

Sandbox

Not Disclosed

API Available

Compliance

HIPAA

Company Stage

Series A

Buying Persona

Customer Success Manager

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