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RelyHealth provides a hybrid human‑AI patient orchestration platform that automates post‑discharge outreach, medication reminders, and preventive‑care prompts while keeping human care navigators in the loop for empathy and clinical judgment. The solution tracks each patient’s next best step, reduces labor costs by over 30%, and improves adherence to follow‑up protocols and quality‑measure scores for hospitals and health systems.

San Francisco, United StatesFounded 2023341K+ followers
Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Healthcare organizations often struggle to ensure patients complete follow‑up steps after discharge, leading to readmissions, missed preventive care, and lower quality‑measure scores. Manual outreach is labor‑intensive and inconsistent, causing gaps in care coordination and revenue loss.

Solution

RelyHealth delivers a hybrid human‑AI patient orchestration platform that automates outreach while preserving human oversight. AI agents initiate contact, schedule reminders, and identify quality‑gap opportunities across patient populations. Human care navigators monitor AI interactions, intervene when empathy or clinical judgment is needed, and close the loop on each care step. The system tracks each patient’s “next best step,” ensuring personalized, proactive engagement throughout the care continuum. By combining AI scalability with human touch, the platform reduces labor costs by over 30 % and improves adherence to post‑discharge and preventive care protocols, boosting outcomes and CMS incentive performance.

Target Audience

Primary customers are hospitals, health systems, and post‑acute care providers that need to manage large patient populations and improve readmission and quality‑measure performance.

Features

  • AI‑driven outreach that initiates post‑discharge check‑ins, medication reminders, and preventive care prompts
  • Real‑time navigator dashboard showing patient status (e.g., discharged, outreach in progress, follow‑up needed)
  • Automated identification of quality gaps by condition, with AI surfacing opportunities for improvement
  • Human‑in‑the‑loop workflow allowing navigators to review, edit, and complete AI‑generated interactions
  • Integration hooks for EHR and CMS reporting to capture adherence metrics and incentive data
  • Continuous learning engine that refines outreach timing and messaging based on patient responses
This profile is AI-generated and may contain inaccuracies.