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Cara

Cara is an AI-powered platform that transforms paper-based health assessments into interactive voice, SMS, and web experiences, automatically coding responses with ICD-10, HCC, and SDOH codes. It uses vision AI to analyze patient-submitted home photos for unreported conditions like fall risks and medication adherence issues. The platform coordinates follow-up care and persistently engages members in their preferred language until assessments are complete.

HQ unknown
Updated 10 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Healthcare organizations rely on paper forms and manual processes for health risk assessments, resulting in low completion rates, coding inaccuracies, and missed opportunities to capture reimbursement gaps. Members often skip or abandon these forms, leaving care teams without critical data on social determinants of health, functional status, and unreported conditions.

Solution

Cara converts existing paper-based or digital assessments into conversational AI experiences delivered through voice calls, SMS, email, and web. The platform persistently reaches out to members in their preferred language until they respond, then guides them through assessments conversationally. As members interact, Cara automatically captures and codes responses with ICD-10, HCC, and SDOH codes in real-time. The system also uses vision AI to analyze home photos for unreported conditions such as fall risks, medication adherence issues, and home safety hazards. Care gaps trigger automated coordination actions, and results are tracked through a comprehensive dashboard.

Target Audience

Primary customers are Medicare Advantage plans, managed care organizations, and home health agencies that need to complete health risk assessments, LTSS evaluations, functional assessments, and care plans at scale.

Features

  • Voice AI and SMS/web-based conversational assessments that adapt existing paper or digital forms
  • Automatic ICD-10, HCC, and SDOH coding of every response with zero manual processing
  • Vision AI that analyzes patient-submitted home photos for fall risks, medication adherence, and home safety concerns
  • Persistent multi-channel outreach (voice, SMS, email, web) in any language until member response is achieved
  • Automated care gap detection and coordination triggers based on assessment responses
  • Real-time results tracking and reporting dashboard for care teams
This profile is AI-generated and may contain inaccuracies.