Healthcare AI Assistant (Voice, Text & Chat) by Salman KhanHealthcare AI Assistant (Voice, Text & Chat) by Salman Khan
Healthcare AI Assistant (Voice, Text & Chat)Salman Khan
Cover image for Healthcare AI Assistant (Voice, Text & Chat)
I'll build you a production-ready healthcare AI assistant that handles patient communication across voice, text, and chat, 24/7.
Your practice is losing revenue to missed calls, slow response times, and manual scheduling. Patients call after hours, get voicemail, and book with someone else. Staff spend hours on repetitive phone tasks instead of patient care.
I build AI assistants like Mia (Hello Patient's AI) that handle the entire patient communication layer:
Voice: AI answers inbound calls naturally, schedules appointments, verifies insurance, and routes complex cases to staff with full context. No hold times, no voicemail black holes.
Text/SMS: Automated appointment reminders, follow-ups, and two-way patient messaging that feels human.
Chat: Web-based chat widget on your site that handles FAQs, scheduling, and intake forms without staff involvement.
The key difference: This isn't a generic chatbot bolted onto your website. It's a system trained on your specific practice: your specialties, your scheduling rules, your insurance requirements, your EHR workflows. It speaks your language because it's built around your operations.
Who this is for:
Medical practices (dental, dermatology, orthopedics, urgent care, veterinary, and more)
Clinics handling 50+ patient calls per day
Healthcare organizations looking to reduce no-shows and improve patient collection rates
Practices using Athena Health, eClinicalWorks, ModMed, NextGen, or similar EHR systems
What makes this different from off-the-shelf solutions:
Real-time voice-to-data pipeline that turns spoken patient input into structured backend records
Direct EHR/CRM integration so data flows automatically, no manual re-entry
HIPAA and SOC 2 compliant architecture from day one
Cross-specialty adaptability: the AI adjusts its conversation flow for each practice type
Multi-channel from a single platform, not three separate tools duct-taped together
FAQs

Contact for pricing
Duration3 weeks
Tags
OpenAI
Python
Vapi
AI Voice Developer
EHR Integration
Healthcare AI
HIPAA Compliance
Patient Communication
Service provided by
Salman Khan proKarachi, Pakistan
5.00
Rating
2
Followers
Healthcare AI Assistant (Voice, Text & Chat)Salman Khan
Contact for pricing
Duration3 weeks
Tags
OpenAI
Python
Vapi
AI Voice Developer
EHR Integration
Healthcare AI
HIPAA Compliance
Patient Communication
Cover image for Healthcare AI Assistant (Voice, Text & Chat)
I'll build you a production-ready healthcare AI assistant that handles patient communication across voice, text, and chat, 24/7.
Your practice is losing revenue to missed calls, slow response times, and manual scheduling. Patients call after hours, get voicemail, and book with someone else. Staff spend hours on repetitive phone tasks instead of patient care.
I build AI assistants like Mia (Hello Patient's AI) that handle the entire patient communication layer:
Voice: AI answers inbound calls naturally, schedules appointments, verifies insurance, and routes complex cases to staff with full context. No hold times, no voicemail black holes.
Text/SMS: Automated appointment reminders, follow-ups, and two-way patient messaging that feels human.
Chat: Web-based chat widget on your site that handles FAQs, scheduling, and intake forms without staff involvement.
The key difference: This isn't a generic chatbot bolted onto your website. It's a system trained on your specific practice: your specialties, your scheduling rules, your insurance requirements, your EHR workflows. It speaks your language because it's built around your operations.
Who this is for:
Medical practices (dental, dermatology, orthopedics, urgent care, veterinary, and more)
Clinics handling 50+ patient calls per day
Healthcare organizations looking to reduce no-shows and improve patient collection rates
Practices using Athena Health, eClinicalWorks, ModMed, NextGen, or similar EHR systems
What makes this different from off-the-shelf solutions:
Real-time voice-to-data pipeline that turns spoken patient input into structured backend records
Direct EHR/CRM integration so data flows automatically, no manual re-entry
HIPAA and SOC 2 compliant architecture from day one
Cross-specialty adaptability: the AI adjusts its conversation flow for each practice type
Multi-channel from a single platform, not three separate tools duct-taped together
FAQs

Contact for pricing