Hello Patient – Healthcare AI Platform

Hello Patient is an enterprise healthcare AI platform built around "Mia," an AI assistant that handles patient communication across voice, text, and chat. The platform serves high-volume medical practices (dentistry, dermatology, orthopedics, urgent care, veterinary, and more), automating everything from appointment scheduling to insurance verification to patient follow-ups.

I designed and developed the Hello Patient website and integrated real-time voice-driven data entry into the production system, translating spoken user input into structured backend records that flow directly into EHR and CRM systems.

AI Voice Assistant (Mia): Handles inbound and outbound patient calls across 6+ medical specialties with natural conversation

Real-Time Voice-to-Data Pipeline: Translates spoken patient input into structured backend records (name, insurance ID, appointment type, symptoms, preferred provider)

24/7 Appointment Scheduling: Patients book when it works for them, no hold times

Insurance Verification: Collects and verifies patient info upfront to reduce no-shows

Automated Bill Pay: RCM assistant that boosts patient collection rates

EHR Integration: Connects seamlessly with Athena Health, eClinicalWorks, ModMed, NextGen, Zenoti, AdvancedMD, and 10+ other systems

Multi-Channel Support: Voice, SMS, and web chat from a single platform

Real-time speech processing that captures patient information during live calls

Structured data extraction mapping conversational input to specific backend fields with zero manual re-entry

Validation logic that catches incomplete or ambiguous data and prompts for clarification naturally within the conversation

HIPAA and SOC 2 compliant infrastructure with end-to-end encryption

Cross-specialty adaptability: Mia adjusts her conversation flow for each practice type (dental vs. urgent care vs. dermatology)

Integration layer connecting AI outputs directly into existing EHR/CRM workflows

I designed and developed the Hello Patient website and built the real-time voice-driven data entry system. The core challenge was translating natural spoken input into structured backend records that flow directly into EHR and CRM systems. This is closely aligned with field reporting use cases where quick, structured logging is required without friction.

Key features I built on the website:

Live voice demo embedded on the homepage where visitors call and interact with Mia across 6 medical specialties

Live text demo with SMS integration for the text-based flow

Real-time transcript display showing the conversation as it happens

Specialty switching so visitors can hear how Mia adapts to different practice types

Responsive, conversion-focused design driving visitors toward demo bookings

The platform has handled 2.2M+ conversations, 504K+ calls, and 1.8M+ messages across practices nationwide. Practices using Hello Patient see 18% more appointments booked (an average of 3 more per location per day) and a 95% reduction in patient wait times.