AI Solutions for Healthcare That Put Patient Safety First
Transform clinical workflows, reduce administrative burden, and improve patient outcomes with production-ready AI that meets the highest standards for healthcare compliance.
Clinician Burnout
Documentation burden consuming 40% of clinical time
Operational Inefficiency
Manual processes limiting patient throughput
Compliance Complexity
Navigating HIPAA, FDA, and state regulations
Patient Experience
Rising expectations for digital-first care
Your Clinicians Have AI Fatigue. And They're Right to Be Skeptical.
Every healthcare system gets pitched on AI. Most of it doesn't work. You've probably deployed dictation tools that misunderstand accents, scheduling algorithms that break your workflow, or chatbots that patients immediately abandon. The result? Clinicians see another shiny tool that creates more work, not less. Your IT team inherits technical debt. And the burnout gets worse.
The AI that actually works in healthcare isn't flashy. It's boring. It integrates seamlessly into Epic or Cerner so clinicians don't notice it's there—until they realize they've saved two hours of their day on documentation. It's production-ready from day one because you can't afford pilots in healthcare. And it comes with governance that satisfies regulators, not just IT compliance checklists.
2–3 hours
per day saved on documentation per clinician
40% faster
prior authorization processing and approvals
24/7
patient support without additional staff
The health systems winning right now aren't taking wild risks with compliance. They're taking calculated ones. They understand that regulators care more about your governance and audit trails than they do about the algorithm you're using. So they're moving fast with AI where it matters most—clinical documentation, patient communication, revenue cycle—while maintaining the oversight structures that keep everyone safe.
Our Three-Layer Approach for Healthcare
Healthcare AI requires a specialized approach that addresses unique regulatory, clinical, and operational requirements at every stage.
Layer 1: Advisory & Governance
Before you build anything, you need governance structures that satisfy regulators and protect patients. We help you establish clear policies around how AI gets evaluated, approved, monitored, and improved. Compliance isn't bureaucracy—it's how you move fast without breaking things.
- • HIPAA-compliant governance frameworks with teeth
- • Clinical risk assessment for your specific workflows
- • FDA guidance and regulatory strategy
- • PHI data governance for AI training and inference
- • Bias monitoring and fairness in clinical AI
Layer 2: Build & Integrate
This is where AI actually makes clinicians' lives better. We build production-ready solutions that live in your Epic or Cerner environment—not as yet another system, but as part of the workflow clinicians already use every day. The AI doesn't replace anyone; it eliminates the mindless parts so they can focus on actual patient care.
- • Ambient scribing and clinical documentation copilots
- • Patient triage and intelligent care routing
- • Prior authorization automation and appeal drafting
- • EHR integration (Epic, Cerner, Meditech, Allscripts)
- • HL7 FHIR APIs for interoperability
- • De-identification and PHI protection in every layer
Layer 3: Operate & Scale
Once AI is in production, it needs constant care. We monitor compliance in real time, track clinical outcomes, and catch problems before they become problems. This is where your audit trail proves to regulators that you knew exactly what your AI was doing at every moment.
- • Real-time HIPAA compliance monitoring and audit logging
- • Clinical safety metrics and event detection
- • AI performance monitoring and clinical accuracy
- • Bias and fairness metrics at scale
- • Continuous improvement with de-identified data
- • Cost optimization and ROI tracking
Functional Use Cases
AI applications tailored to healthcare workflows and clinical operations.
Clinical Operations
Ambient Clinical Documentation
AI scribes that capture patient-provider conversations and generate structured clinical notes
Clinical Decision Support
Evidence-based treatment recommendations and drug interaction alerts at point of care
Patient Triage & Intake
AI-powered symptom assessment and intelligent patient routing to appropriate care settings
Care Gap Identification
Proactive identification of patients overdue for screenings or chronic care management
Administrative & Revenue Cycle
Prior Authorization Automation
Automated PA request generation, status tracking, and intelligent appeal drafting
Medical Coding Assistance
AI-suggested ICD-10 and CPT codes from clinical documentation with accuracy validation
Claims Denial Management
Intelligent denial pattern analysis and automated appeal letter generation
Scheduling Optimization
AI-powered appointment scheduling that maximizes provider utilization and patient access
Patient Experience
Virtual Health Assistants
24/7 patient-facing chatbots for appointment scheduling, medication questions, and triage
Care Coordination
Automated care plan communication and coordination across providers and care settings
Patient Education
Personalized health education content tailored to patient health literacy and conditions
Medication Adherence
AI-powered reminders and interventions to improve medication compliance
Technology Integration
Seamless integration with your healthcare technology ecosystem.
EHR Systems
Native integration with leading electronic health record platforms:
- • Epic (SMART-on-FHIR, App Orchard)
- • Cerner (HL7 FHIR APIs)
- • Meditech (web services integration)
- • Allscripts (Open APIs)
Healthcare IT
Connect with your broader healthcare technology stack:
- • Practice management systems
- • Revenue cycle management platforms
- • Patient engagement portals
- • Clinical data warehouses
Integration Approach
HL7 FHIR APIs
Standards-based interoperability for clinical data exchange
Secure Data Exchange
Encrypted connections with PHI protection and access controls
Event-Driven Architecture
Real-time clinical event processing and workflow automation
The Numbers That Matter
Clinical Efficiency
- 2-3 hours per day saved on clinical documentation per provider
- 40% reduction in prior authorization processing time
- 15-20% increase in daily patient capacity per provider
Revenue & Cost Optimization
- 8-12% improvement in clean claims rate and faster reimbursement
- $50-80K annual savings per provider in administrative costs
- 25% reduction in claims denial rates
Patient Experience
- 30% improvement in patient satisfaction scores
- 50% reduction in patient wait times for routine inquiries
- 20% increase in preventive care adherence
Provider Well-being
- 35% reduction in administrative burden and after-hours charting
- Improved clinician satisfaction and reduced burnout indicators
- Higher provider retention and recruitment advantage
Compliance & Security
Regulators are going to ask questions. We make sure you have answers. This isn't about checking boxes—it's about building systems that audit themselves in real time so you can prove compliance instead of hoping for it.
HIPAA Compliance
Privacy Rule
- • Minimum necessary PHI access controls
- • De-identification for AI training data
- • Patient consent management
- • Notice of privacy practices integration
Security Rule
- • Encryption at rest and in transit
- • Role-based access controls (RBAC)
- • Audit logging and monitoring
- • Business Associate Agreements (BAAs)
Additional Regulatory Requirements
FDA Guidance
Compliance pathways for AI/ML-based medical devices and clinical decision support
HITECH Act
Breach notification requirements and meaningful use compliance
State Regulations
State-specific privacy laws and telehealth requirements
Our Compliance Approach
We build compliance into every layer of our AI solutions, not as an afterthought.
- • HITRUST CSF certified development practices
- • SOC 2 Type II compliance for infrastructure
- • Regular penetration testing and vulnerability assessments
- • Incident response and breach notification procedures
Audit Trail & Explainability
Complete audit trails for clinical AI decisions to support quality assurance and regulatory inquiries.
- • Model version tracking and lineage
- • Input/output logging for clinical decisions
- • Explainable AI for clinical transparency
- • User access and activity monitoring
How We Work With You
Typical Engagement Timeline
AI Readiness Assessment (2-3 weeks)
Evaluate current state, identify high-impact use cases, and assess compliance readiness
Governance Framework Development (4-6 weeks)
Establish HIPAA-compliant AI governance, policies, and oversight structures
Pilot Implementation (8-12 weeks)
Build and deploy initial AI use case with limited user group
Production Scale & Optimization (Ongoing)
Expand to full deployment with continuous monitoring and improvement
Common Starting Points
Quick Wins
Patient-facing chatbots, appointment scheduling, basic triage
High Impact
Clinical documentation, prior authorization, care coordination
Strategic
Clinical decision support, population health, predictive analytics
The health systems winning with AI right now started with a conversation
Let's talk about your clinician burnout, your revenue cycle pain, your patient experience goals. We'll show you where AI can actually help—not someday, but in 8-16 weeks.
Start the Conversation