AI Can Save Your Practice Hours Every Week. But Only If It's Set Up Right.
Most AI tools aren't built for healthcare. Using them the wrong way with patient data isn't just inefficient — it's a HIPAA violation. We help you use AI safely, compliantly, and in a way that actually helps your team.
Book Your Free Audit — Review Your AI ExposureThe AI Risk Nobody's Talking About
Tools like ChatGPT, Google Gemini, and standard Claude are powerful — but they were not built for healthcare data. When a front desk employee pastes a patient's name, date of birth, or insurance information into one of these tools, that data may be stored, used for training, or accessible to third parties. That's a HIPAA violation.
It's not hypothetical. OCR (the HHS Office for Civil Rights) has already signaled enforcement intent around AI misuse. And your Business Associate Agreement (BAA) won't cover a tool you never disclosed using.
AI Done Right Is a Game-Changer
When implemented correctly, AI can handle scheduling assistance, draft referral letters, summarize visit notes, answer FAQs on your website, help staff with billing code lookups, and reduce the cognitive load on your team — without touching PHI in unsecured systems.
Staff Time Savings
Practices using AI for administrative tasks report saving 5–10 hours per staff member per week.
Faster Documentation
AI-assisted note drafting cuts documentation time by up to 50% when implemented with the right tools and workflow.
Better Patient Communication
AI-powered chat and FAQ tools answer common patient questions 24/7 — without adding staff hours.
How Degnys Implements AI for Healthcare Practices
HIPAA Risk Assessment
We start by auditing how your team is currently using AI tools (if at all) and identifying any compliance gaps before they become problems.
Compliant Cloud AI Setup
Some major cloud AI providers (including Microsoft Azure OpenAI and AWS Bedrock) offer HIPAA-eligible configurations with a signed BAA. We set these up correctly so you're covered.
Local AI Deployment
For practices that want maximum privacy, we can deploy AI models that run entirely on your local network — your data never leaves your office. Using tools like Ollama with open-source models (Llama 3, Mistral, Phi), we build a private AI assistant for your team.
Staff Workflow Integration
We don't just install software. We build the workflows around it — how your team uses AI for drafting, lookups, patient FAQs, and scheduling support — and we train them on what's allowed and what isn't.
De-identification Workflows
Need AI help with tasks that involve patient context? We set up de-identification pipelines so your team can use AI assistance without exposing PHI to unsecured systems.
Website AI Chat
Add a HIPAA-aware AI chatbot to your website that answers common questions, collects appointment requests, and handles FAQs — without storing patient health information.
Which Approach Fits You?
| Local AI | Compliant Cloud AI | |
|---|---|---|
| Data leaves your network? | Never | No (with BAA) |
| Cost | One-time setup | Monthly usage-based |
| Requires internet? | No | Yes |
| Best for | Maximum privacy, rural/spotty internet | Teams that want cloud convenience |
| Examples | Ollama + Llama 3 on local server | Azure OpenAI, AWS Bedrock |
Our AI Limitations (And Why We're Transparent About Them)
We don't promise AI will replace your clinical staff — it won't. AI is a tool to reduce administrative burden, not a substitute for clinical judgment. We don't connect AI to your EHR without a formal security review. And we don't implement AI in any way that hasn't been reviewed against HIPAA requirements. If we can't do it safely, we'll tell you.
Investment
AI Risk Assessment & Roadmap
A full review of your current AI use, compliance gaps, and a prioritized implementation plan.
Local AI Setup
Full deployment of a local AI model on your network, configured for your team's use cases.
Compliant Cloud AI Setup
Configuration, BAA verification, and team workflow setup on a HIPAA-eligible cloud platform.
Ongoing AI Support & Training
Model updates, workflow refinements, staff Q&A, and monitoring.