AI for Healthcare: HIPAA-Compliant, Patient-Centered AI

Governed, auditable, HIPAA-compliant AI. Not experiments.

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Trusted by Enterprises Across Industries

Bayer
Takeda
Adidas
Rockwell Automation
Burckhardt Compression
Tillotts Pharma

Challenges

01

Prior authorization is a bottleneck

Manual processes delay care. Every denied or delayed prior authorization means lost revenue, frustrated patients, and staff chasing paperwork instead of providing care.

02

Clinical documentation burden is unsustainable

Physicians document more than they treat. The administrative burden is crushing clinicians. Burnout is real, turnover is expensive, and patients feel the pressure.

03

Knowledge access is fragmented

Policies scattered across systems. Policies live in SharePoint. Procedures are in outdated PDFs. Protocol updates get lost in email. Staff spend hours finding information that should take seconds.

04

HIPAA makes AI adoption risky

Every system touching patient data must be compliant from architecture through deployment. Most AI vendors have never been through a healthcare compliance review.

Use Cases

Real-world applications

Prior Authorization Automation

AI reviews clinical documentation against payer rules to accelerate prior auth decisions.

45% faster processing

Clinical Documentation Intelligence

Reduce documentation burden with AI-assisted note completion grounded in patient records.

2 hours saved per physician per day

HIPAA-Compliant Knowledge Search

Instant access to clinical policies, formularies, and care protocols with full audit trails.

Patient Communication Compliance

AI-reviewed patient communications ensuring regulatory compliance across all channels.

Quality Measure Reporting

Automated extraction and reporting of CMS quality measures from clinical data.

80% less manual reporting

Denial Management Intelligence

AI analyzes denial patterns and recommends targeted appeal strategies with supporting evidence.

Results

Regional Health System · Healthcare

45%

Reduction in prior authorization processing time across 12 facilities, with HIPAA-compliant AI handling routine approvals.

The AI handles the routine authorizations so our team can focus on complex cases that need clinical judgment.

VP of Revenue Cycle

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Our Method

Production AI in 90 days

01

Assess

Weeks 1-2

Map workflows, data sources, and compliance requirements. Identify highest-impact use case.

02

Build

Weeks 3-8

Architecture, development, and integration with your systems. Security hardening from day one.

03

Pilot

Weeks 9-10

Deploy with pilot group. Measure against success metrics. Refine based on real usage.

04

Harden

Weeks 11-12

Production hardening, monitoring, documentation, and handoff with training and support.

Start with a $9,500 Assessment

Assessment fee credited toward implementation

Compliance & Security

HIPAAHITECHHL7/FHIRState Privacy LawsCMSJoint Commission

Technology Partners

Azure AIAWS BedrockGoogle Vertex AIOpenAIOpen-Source LLMs

FAQ

Frequently asked questions

How do you ensure HIPAA compliance in AI systems?

Every system is built with HIPAA compliance from the architecture level — encrypted data at rest and in transit, role-based access controls, complete audit logging, and BAA agreements with all cloud providers. No PHI leaves your controlled environment.

Can the AI integrate with our EHR system?

Yes. We integrate with Epic, Cerner, MEDITECH, and other major EHR platforms through HL7 FHIR APIs and standard interfaces. The AI reads from your EHR without modifying clinical records.

What is the implementation timeline for healthcare AI?

A typical healthcare AI deployment follows our 90-day method: 2-week assessment of workflows and compliance requirements, 6-8 week build and pilot phase, then production hardening with clinical validation.

How do you handle patient data privacy across state lines?

We configure data residency controls per your requirements and comply with state-specific privacy laws in addition to HIPAA. Multi-state health systems can enforce location-based data handling rules.

Do clinicians need AI training to use the system?

The AI is designed to fit into existing clinical workflows, not replace them. We provide role-specific training and change management, but the interfaces are built to feel natural for clinical staff — no AI expertise required.

Ready to ship AI that actually works?

Start with a 15-minute call. No pitch decks. We'll discuss your use case and whether our 90-day method is the right fit.

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