HIPAA-Compliant AI Receptionist Deployment
Budget: $250 – $750 USD
Job Title: Deploy & Verify HIPAA-Compliant AI Voice Receptionist (Pre-Built Code Provided)
Description:
I already have a complete, production-ready AI voice receptionist project scaffolded by Manus AI. The codebase includes backend, API integrations, and deployment instructions. I do not need the system rebuilt from scratch. I need an experienced developer to configure, deploy, and verify HIPAA compliance for production use in dental offices.
This system is designed to integrate with dental practice software (Open Dental), handle calls through Twilio, process insurance via pVerify, and use AI-driven natural language for patient interactions. Manus AI has already generated the code, architecture, and integration points.
Your role is primarily plug-and-play deployment, configuration, and HIPAA security hardening.
⸻
What’s Already Provided by Manus AI (Done):
• Full backend code in Python 3.11 + Flask + SQLAlchemy
• Telephony integration with Twilio Programmable Voice
• Appointment booking and CRM integration with Open Dental API
• Insurance verification with pVerify API
• AI/ML components using Whisper (STT), TTS, GPT-4 (replaceable with HIPAA vendor)
• Database setup (PostgreSQL in production, SQLite for dev)
• Session store (Redis)
• Deployment templates (Docker + Terraform)
• Documentation for environment variables, APIs, and integration steps
⸻
What You Need to Do (Your Job):
1. Environment & Deployment
• Set up AWS or GCP HIPAA-eligible environment (VPC, firewalls, encryption at rest, TLS in transit).
• Deploy the provided Manus AI codebase using Docker + Terraform.
• Configure Redis + PostgreSQL with HIPAA-compliant encryption.
2. Vendor Configuration & BAAs
• Configure Twilio Programmable Voice for HIPAA (with BAA).
• Configure pVerify API with proper HIPAA credentials.
• Configure Open Dental API per tenant.
• Replace OpenAI GPT-4 with a HIPAA-compliant alternative (Azure OpenAI under BAA, or another HIPAA-certified LLM vendor).
3. HIPAA Security Hardening
• Ensure no PHI is logged in plain text.
• Configure audit logging for all PHI access (immutable logs).
• Verify role-based access controls and MFA.
• Set up backup + disaster recovery with encrypted snapshots.
• Document all security procedures for HIPAA compliance.
4. Testing & Validation
• Test end-to-end call flows: caller recognition, appointment booking, insurance verification, and call transfer.
• Validate HIPAA compliance against the required safeguards (administrative, physical, technical).
• Provide a final report confirming system readiness for production use in dental practices.
⸻
Requirements:
• Strong experience with Python + Flask
• Hands-on with Twilio Programmable Voice (HIPAA version preferred)
• Familiar with Docker, Terraform, Redis, PostgreSQL
• Experience deploying to AWS or GCP in HIPAA environments
• Understanding of HIPAA compliance (BAAs, audit logging, encryption, access controls)
• API integration experience (Open Dental API, pVerify, healthcare APIs)
⸻
Deliverables:
• A fully deployed AI voice receptionist system on AWS/GCP
• Configured Twilio, Open Dental, and pVerify integrations
• HIPAA-compliant security setup with signed BAAs
• Documentation on system setup, compliance, and future onboarding
⸻
Notes:
• This is not a “from-scratch” development job. The entire system is already coded.
• Your job is configuration, deployment, and HIPAA compliance verification.
• Please include examples of HIPAA-compliant apps you’ve deployed before
Description:
I already have a complete, production-ready AI voice receptionist project scaffolded by Manus AI. The codebase includes backend, API integrations, and deployment instructions. I do not need the system rebuilt from scratch. I need an experienced developer to configure, deploy, and verify HIPAA compliance for production use in dental offices.
This system is designed to integrate with dental practice software (Open Dental), handle calls through Twilio, process insurance via pVerify, and use AI-driven natural language for patient interactions. Manus AI has already generated the code, architecture, and integration points.
Your role is primarily plug-and-play deployment, configuration, and HIPAA security hardening.
⸻
What’s Already Provided by Manus AI (Done):
• Full backend code in Python 3.11 + Flask + SQLAlchemy
• Telephony integration with Twilio Programmable Voice
• Appointment booking and CRM integration with Open Dental API
• Insurance verification with pVerify API
• AI/ML components using Whisper (STT), TTS, GPT-4 (replaceable with HIPAA vendor)
• Database setup (PostgreSQL in production, SQLite for dev)
• Session store (Redis)
• Deployment templates (Docker + Terraform)
• Documentation for environment variables, APIs, and integration steps
⸻
What You Need to Do (Your Job):
1. Environment & Deployment
• Set up AWS or GCP HIPAA-eligible environment (VPC, firewalls, encryption at rest, TLS in transit).
• Deploy the provided Manus AI codebase using Docker + Terraform.
• Configure Redis + PostgreSQL with HIPAA-compliant encryption.
2. Vendor Configuration & BAAs
• Configure Twilio Programmable Voice for HIPAA (with BAA).
• Configure pVerify API with proper HIPAA credentials.
• Configure Open Dental API per tenant.
• Replace OpenAI GPT-4 with a HIPAA-compliant alternative (Azure OpenAI under BAA, or another HIPAA-certified LLM vendor).
3. HIPAA Security Hardening
• Ensure no PHI is logged in plain text.
• Configure audit logging for all PHI access (immutable logs).
• Verify role-based access controls and MFA.
• Set up backup + disaster recovery with encrypted snapshots.
• Document all security procedures for HIPAA compliance.
4. Testing & Validation
• Test end-to-end call flows: caller recognition, appointment booking, insurance verification, and call transfer.
• Validate HIPAA compliance against the required safeguards (administrative, physical, technical).
• Provide a final report confirming system readiness for production use in dental practices.
⸻
Requirements:
• Strong experience with Python + Flask
• Hands-on with Twilio Programmable Voice (HIPAA version preferred)
• Familiar with Docker, Terraform, Redis, PostgreSQL
• Experience deploying to AWS or GCP in HIPAA environments
• Understanding of HIPAA compliance (BAAs, audit logging, encryption, access controls)
• API integration experience (Open Dental API, pVerify, healthcare APIs)
⸻
Deliverables:
• A fully deployed AI voice receptionist system on AWS/GCP
• Configured Twilio, Open Dental, and pVerify integrations
• HIPAA-compliant security setup with signed BAAs
• Documentation on system setup, compliance, and future onboarding
⸻
Notes:
• This is not a “from-scratch” development job. The entire system is already coded.
• Your job is configuration, deployment, and HIPAA compliance verification.
• Please include examples of HIPAA-compliant apps you’ve deployed before