MyflowAI provides an AI‑driven virtual assistant, Emily, that automates patient access tasks such as fax and email processing, insurance verification, scheduling, and multilingual support, integrating directly with existing EMR and telephony systems. Its Contextual Reasoning Engine uses policies, FAQs, payor rates, and patient history to deliver empathetic, policy‑compliant interactions, reducing manual touchpoints and improving operational efficiency for hospitals and specialty clinics.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare providers struggle with fragmented patient access processes, including long phone hold times, limited office-hour support, language barriers, and inefficient handling of faxes and referrals, all while operating on legacy systems that limit efficiency and revenue growth.
Solution
MyflowAI offers an AI-driven virtual assistant, “Emily,” that automates end‑to‑end patient access tasks. Emily reads and classifies incoming faxes and emails, extracts relevant data with a visual large language model, and populates the EMR without manual entry. The platform also performs insurance eligibility checks, schedules appointments, and provides multilingual patient support through existing telephony and EMR integrations. A proprietary Contextual Reasoning Engine supplies empathy‑aware decision making, leveraging policies, FAQs, payor rates, and patient history to guide interactions. Specialty‑specific workflow templates enable rapid deployment across various care pathways, reducing human touchpoints and accelerating the journey from referral to completed visit.
Target Audience
Primary customers are hospitals, health systems, and specialty clinics that manage high volumes of referrals, appointments, and insurance verifications and seek to improve patient access while reducing operational costs.
Features
- Visual LLM‑based fax and inbox processing that extracts data and updates the EMR automatically
- Integrated insurance verification and eligibility automation with confidence thresholds
- AI‑powered scheduling and patient intake that operates within existing telephony and EMR systems
- Multilingual patient support handling calls and messages outside office hours
- Contextual Reasoning Engine that incorporates policies, FAQs, payor rates, and patient history for empathetic interactions
- Pre‑built specialty‑specific workflow templates for common care scenarios
- Analytics dashboard that tracks workflow efficiency, error rates, and revenue impact