You will get HIPAA Aware Workflows for Healthcare Sector
Project details
This is a HIPAA-aware AI-powered patient engagement and scheduling system designed for healthcare providers.
Patients can interact through a conversational interface to request appointments, find the right specialist, and schedule visits in real time.
Behind the scenes, the workflow automatically routes requests, checks availability, and manages patient communications.
To maintain compliance, all workflows operate under HIPAA standards with BAA-supported infrastructure, and Protected Health Information is removed before any data is processed by AI models.
The system also monitors conversations for potential emergencies. When critical symptoms are detected, it immediately escalates the case, provides emergency contact guidance, and notifies healthcare staff through a dedicated dashboard.
The result is a secure, intelligent workflow that improves patient access, reduces administrative workload, and keeps patient privacy at the center of every interaction.
Patients can interact through a conversational interface to request appointments, find the right specialist, and schedule visits in real time.
Behind the scenes, the workflow automatically routes requests, checks availability, and manages patient communications.
To maintain compliance, all workflows operate under HIPAA standards with BAA-supported infrastructure, and Protected Health Information is removed before any data is processed by AI models.
The system also monitors conversations for potential emergencies. When critical symptoms are detected, it immediately escalates the case, provides emergency contact guidance, and notifies healthcare staff through a dedicated dashboard.
The result is a secure, intelligent workflow that improves patient access, reduces administrative workload, and keeps patient privacy at the center of every interaction.
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, AI Content Creation, AI Mobile App Development, AI Text-to-Speech, AI-Enhanced Medical Imaging, AI-Generated Video, AIOps, Conversational AI, Image Recognition, Natural Language Understanding, Object Detection, Sentiment AnalysisAI Development Language
PythonAI Tools
Azure OpenAI, Hugging Face, PyTorch, TensorFlowAI Models
ChatGPT, DALL-E, LLaMA, Midjourney AI, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$250
|
Standard
$400
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 20 days |
Number of Revisions | 2 | 5 | 10 |
AI Model Integration | |||
Batch Normalization | |||
Database Integration | |||
Detailed Code Comments | - | ||
Image Upscaling | - | ||
MLOps | - | - | |
Model Deployment | |||
Model Documentation | - | ||
Model Monitoring | - | - | |
Model Testing & Optimization | |||
Model Tuning | - | - | |
Natural Language Processing | |||
NLP Tokenization | |||
Pre-Training | - | - | |
Prompt Engineering | |||
Setup File | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$100About Ziad
AI Automation Developer | WhatsApp Bots, AI Agents & HIPAA-Compliance
Sharjah, United Arab Emirates - 10:49 am local time
Most of my work centers on AI chatbots and agents (WhatsApp, Telegram, web chat) that talk to customers, take actions, and hand off to a human when needed - plus the dashboards and CRMs behind them so your team can see what's happening and stay in control.
I also build HIPAA-compliant automation workflows for healthcare clients - patient communication, reminders, intake, and admin systems designed with proper data handling, access controls, audit logging, and BAA-compatible infrastructure, so AI automation can be used in healthcare settings without compromising compliance.
Recent work includes:
An AI-powered WhatsApp ordering system with a full automation dashboard - customers order via chat, staff manage everything from one panel.
A custom CRM with automation workflows that cut manual admin work by roughly 60% for the team using it.
A website AI chatbot with WhatsApp human handoff, so conversations move seamlessly from bot to staff.
An AI-powered booking chatbot for a healthcare client - PHI is redacted and replaced with per-conversation randomized tokens before reaching the LLM (preventing any cross-session profiling), with full records managed via a custom dashboard with granular access controls.
An automated medication reminder platform with an admin control panel, built with HIPAA-aware data handling.
Local LLM deployment with custom API endpoints for integration into internal workflows.
I work across the full stack - Next.js, Node.js/Express, Python/Django, PostgreSQL/Supabase, and LLM APIs (OpenAI, Claude) - and I'm also excellent with n8n/make and similar automation tools when that's the right fit for a client's team to maintain themselves.
I also handle Stripe integrations and payment/subscription flows as part of larger systems, and I'm familiar with webhooks, OAuth/JWT auth, and deploying to Railway, AWS, and similar platforms.
If your team is buried in WhatsApp messages, manual lead follow-up, or spreadsheets that should be a system.
Message me with what you're dealing with and I'll tell you honestly whether AI automation is the right fix and roughly what it'd take.
Steps for completing your project
After purchasing the project, send requirements so Ziad can start the project.
Delivery time starts when Ziad receives requirements from you.
Ziad works on your project following the steps below.
Revisions may occur after the delivery date.
Need Analysis
Client provides exact requirements and based on the document, i will finalize the timeline, milestones to check progress for both sides.