AI for Healthcare
Deploy AI for clinical documentation, medical research, and administrative workflows—with infrastructure designed for HIPAA compliance and patient data protection.
The Stakes: Patient Data Protection
Healthcare data is among the most sensitive information that exists. Regulatory frameworks like HIPAA, GDPR, and national health privacy laws impose strict requirements on how this data can be processed.
HIPAA (US)
Protected Health Information
PHI includes any individually identifiable health information. AI systems processing PHI must meet HIPAA Security Rule requirements and require a Business Associate Agreement.
GDPR (EU)
Special Category Data
Health data is "special category" under Article 9, requiring explicit consent or another Article 9(2) exception plus enhanced security measures.
PENALTIES
Severe Consequences
HIPAA violations: up to $1.5M per violation category per year. GDPR: up to €20M or 4% revenue. Plus reputational damage and loss of patient trust.
Why Standard Cloud AI Falls Short
BAA Complexity
Most consumer and enterprise AI services don't offer Business Associate Agreements, or their BAAs contain carve-outs that limit their usefulness. Even with a BAA, you're relying on a third party to maintain compliance.
Data Minimization Violations
Sending patient records to cloud AI services often violates the "minimum necessary" standard—you're transmitting entire records when only specific information is needed for the AI task.
Training Data Concerns
Many AI providers use customer data to improve their models. Even if anonymized, patient data used for training raises ethical and potentially legal concerns about secondary use.
Cross-Border Data Transfers
US-based cloud providers may process data in multiple jurisdictions. For EU healthcare organizations, this creates GDPR transfer complications. The CLOUD Act adds another layer of concern.
AI Use Cases in Healthcare
Tacitus enables these high-value applications while maintaining complete control over patient data:
Clinical Documentation
Automate clinical note generation, discharge summaries, and referral letters. AI assists with documentation while clinicians review and approve.
Reduce documentation time by 50%+
Medical Literature Search
Query internal research databases, clinical guidelines, and medical literature using natural language. Surface relevant evidence for clinical decisions.
Evidence-based decision support
Patient Record Analysis
Summarize complex patient histories, identify patterns across records, and flag potential drug interactions or care gaps.
Comprehensive patient insights
Coding & Billing
Assist with ICD-10/CPT coding suggestions, claims documentation, and prior authorization support based on clinical notes.
Improved coding accuracy
Population Health
Analyze patient populations to identify high-risk patients, care gaps, and opportunities for proactive intervention.
Data-driven care management
Research Support
Accelerate literature reviews, protocol development, and data analysis for clinical research while maintaining research data isolation.
Faster research cycles
Meeting HIPAA Technical Safeguards
The HIPAA Security Rule requires specific technical safeguards for systems that process PHI. Here's how Tacitus addresses each requirement:
| HIPAA Requirement | Tacitus Implementation |
|---|---|
| Access Control (§164.312(a)) | Role-based access with audit logging. Unique user identification required. |
| Audit Controls (§164.312(b)) | Complete audit trail of all data access, queries, and system events. Tamper-evident logging. |
| Integrity (§164.312(c)) | Data checksums, encrypted storage, and integrity verification on retrieval. |
| Transmission Security (§164.312(e)) | TLS 1.3 for all network communications. Air-gap option eliminates transmission entirely. |
| Encryption (§164.312(a)(2)(iv)) | AES-256 encryption at rest. Hardware security modules available for key management. |
| Automatic Logoff (§164.312(a)(2)(iii)) | Configurable session timeouts. Forced re-authentication for sensitive operations. |
The Tacitus Solution for Healthcare
On-Premises = No BAA Needed with AI Provider
With Cortex on-premises, patient data never leaves your infrastructure. There's no third-party AI provider to execute a BAA with—you control the entire processing environment.
Network Isolation Options
Deploy on an isolated network segment or completely air-gapped. Integration with existing EHR systems through controlled interfaces only.
Compliance Documentation
We provide comprehensive documentation for your compliance team: system architecture diagrams, data flow maps, security controls inventory, and audit log specifications.
No Model Training on Your Data
The AI model is pre-trained and static. Your patient data is never used to train or fine-tune the model. This eliminates secondary use concerns entirely.
Deployment for Healthcare Organizations
Cortex On-Premises
Deploy in your data center alongside existing EHR and clinical systems. Full control over the entire processing environment.
- No external data transmission
- Integrates with existing security infrastructure
- Audit trails under your control
Cloud Bridge (EU Healthcare)
For EU healthcare organizations, Cloud Bridge offers a compliant cloud option with single-tenant isolation and EU-only infrastructure.
- GDPR-compliant infrastructure
- No US jurisdiction exposure
- Migrate to on-premises anytime
Ready for HIPAA-Compliant AI?
Let's discuss how Tacitus can help your organization leverage AI while maintaining the highest standards of patient data protection.