Helpcare AI
The startup operates a medical platform that enables healthcare organizations to efficiently manage patient outreach and scheduling through an agentic-first system for care coordination tasks. By automating processes such as patient communication, visit scheduling, and report generation, the platform reduces the administrative burden on staff and increases patient intake.
- Artificial Intelligence
- Data & Analytics
- Digital Health
- Enterprise Software
- Healthcare Technology
- Software Only
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Healthcare organizations face significant administrative burdens in care coordination, including patient outreach, scheduling, and data management across disparate systems. This often leads to overburdened staff, missed patient outreach, and incomplete care coordination, resulting in unclosed care gaps.
Solution
Helpcare AI offers a platform powered by generative AI that automates care coordination tasks, reducing administrative overhead and improving patient engagement. The platform uses AI agents to autonomously identify patients needing outreach, schedule visits, and complete pre- and post-visit tasks. These AI agents can navigate various electronic health record (EHR) systems and payer portals without requiring direct integration, and they can communicate with patients in 29 languages via phone, text, email, and mail. By automating these processes, Helpcare AI enables healthcare organizations to close more care gaps and improve patient outcomes.
Target Audience
Helpcare AI primarily targets healthcare organizations, including hospitals, clinics, and payers, seeking to streamline care coordination, reduce administrative burdens, and improve patient engagement.
Features
- AI-powered patient outreach via phone, text, email, and mail in 29 languages
- Autonomous scheduling capabilities directly within existing EHR systems
- Identification of care gaps through continuous data monitoring and analysis
- Automated report generation for regular performance review
- Compatibility with various data sources, including EMRs, QI portals, and APIs
- AI-driven data merging, cleaning, and preparation for a universal patient view
- Ability to handle 100 calls per minute