HIPAA Compliance for AI Systems
Security-First Healthcare Technology
I help healthcare organizations build AI systems that protect patient data and pass HIPAA audits. Twenty seven years securing sensitive data means I know what regulators look for and what actually prevents breaches. Zero incidents across $2 billion in healthcare transactions.
HIPAA Compliance That Works in Production
Most healthcare AI projects fail HIPAA audits because security gets bolted on afterwards. I build compliance into the architecture from day one. Patient data never leaves your control. AI models train on your data without sending records to third parties. Audit logs track everything. Encryption everywhere. Role-based access that actually makes sense.
I've built systems processing millions of healthcare records under HIPAA. Payment processors handling billions in medical transactions. EHR integrations that don't leak PHI. Clinical AI tools that work within hospital networks. The key is understanding both the regulation and the technology well enough to build systems that satisfy auditors and actually protect patients.
Based in the Dallas-Fort Worth area, working with healthcare organizations nationwide. I help hospitals, medical practices, health tech companies, and healthcare SaaS platforms implement AI while maintaining HIPAA compliance. Available for consulting projects and full-time leadership roles.
HIPAA Compliance Services
Complete healthcare AI security and compliance
HIPAA Risk Assessment
- ▸Security rule compliance evaluation
- ▸Privacy rule gap analysis
- ▸Breach notification procedures review
- ▸Business associate agreement review
- ▸Technical safeguards assessment
AI System Architecture
- ▸HIPAA-compliant AI infrastructure design
- ▸PHI data isolation and encryption
- ▸Secure model training pipelines
- ▸Access controls and audit logging
- ▸Disaster recovery for AI systems
Compliance Implementation
- ▸Security policies and procedures
- ▸Technical safeguards deployment
- ▸Workforce training programs
- ▸Incident response planning
- ▸Audit preparation and documentation
Ongoing Management
- ▸Continuous compliance monitoring
- ▸Regular security assessments
- ▸Policy updates for regulation changes
- ▸Business associate management
- ▸Annual HIPAA security reviews
HIPAA Compliance Track Record
Results protecting patient data at scale
Zero HIPAA breaches processing billions in medical payments
All HIPAA audits passed on first submission
Protected health information secured with AI systems
Building secure healthcare systems since 1998
HIPAA Compliance Engagement Options
Consulting or full-time leadership for healthcare organizations
HIPAA Assessment & Remediation
Comprehensive evaluation and fixes for existing AI systems
- ✓Complete HIPAA risk assessment
- ✓Gap analysis with remediation roadmap
- ✓Technical safeguards implementation
- ✓Documentation and policy development
- ✓Audit preparation support
Timeline: 4-8 weeks typical engagement
Full-Time Healthcare Security Leadership
Ongoing HIPAA compliance and security leadership
- ✓Chief Information Security Officer (CISO)
- ✓VP of Healthcare IT Security
- ✓Director of Compliance & Privacy
- ✓Head of Healthcare AI Implementation
Location: Dallas-Fort Worth or Remote
HIPAA Compliance Questions
What does HIPAA compliance for AI actually require?
HIPAA requires technical safeguards protecting patient data, administrative safeguards controlling who accesses what, and physical safeguards securing hardware. For AI systems, this means encrypting data in transit and at rest, controlling access with role-based permissions, logging all PHI access, ensuring business associate agreements cover AI vendors, and implementing breach notification procedures. The trick is building these requirements into your architecture rather than trying to retrofit them later.
Can we use cloud-based AI services like OpenAI or Claude and stay HIPAA compliant?
Yes, but carefully. Most large AI providers offer HIPAA-compliant tiers requiring business associate agreements. The key is ensuring you're using the right tier, configuring it correctly, and not accidentally sending PHI to non-compliant endpoints. I help organizations evaluate AI vendors, negotiate proper BAAs, and architect systems that use cloud AI without violating HIPAA. Your data should train your models, not theirs.
How long does it take to make an AI system HIPAA compliant?
Depends on where you're starting. If you're building from scratch and design for HIPAA from day one, it adds maybe 20 percent to development time. If you're retrofitting an existing system, expect four to twelve weeks depending on complexity and how many corners were cut initially. The painful truth is fixing HIPAA violations after the fact costs 5-10 times more than building it right the first time.
What's the biggest HIPAA mistake healthcare companies make with AI?
Assuming their AI vendor handles all compliance. Your organization is still the covered entity responsible for protecting PHI, even when using third party AI tools. You need proper business associate agreements, you need to verify their security controls actually work, and you need architecture preventing accidental PHI exposure. I've seen companies spend millions on AI tools only to discover they can't legally deploy them without major rework.
Do you help with HIPAA audit preparation?
Yes. I prepare organizations for HIPAA audits by reviewing security policies, testing technical controls, documenting procedures, training staff, and fixing gaps before auditors arrive. Having processed billions in HIPAA-regulated transactions with zero breaches, I know what auditors look for and what actually protects patient data. We focus on both checking compliance boxes and building real security.
Let's Build HIPAA-Compliant AI Systems
Whether you need help with an existing system or building new healthcare AI from scratch, let's discuss how to protect patient data properly.