Perioperative
Intelligence
LINCR builds AI systems that learn from expert clinicians to make surgery safer. Pre-operative assessment with a built-in quality feedback loop — one product, one closed loop.
The Closed Loop
Post-op outcomes continuously recalibrate pre-op assessments. One product that connects assessment to quality improvement.
- Adaptive intake
- AI risk scoring
- Smart triage
- Note generation
- Outcome tracking
- Missed-case detection
- Cancellation analysis
- ASA calibration
LINCR Loop
Pre-op assessment with a quality feedback loop
AI-powered pre-operative anesthesia assessment that learns from outcomes
SMS/Email Patient Intake
Text or email patients a link. Adaptive questionnaire adapts in real-time based on their responses. No app download required.
AI Risk Scoring + Note Generation
Complete pre-anesthesia note in 90 seconds. ASA classification, cardiac risk, airway, OSA, medication alerts — all automated.
Smart Triage
Automated Green / Yellow / Red classification. Routes patients to the right level of pre-op evaluation.
Missed-Case Feedback
After surgery, record outcomes. LINCR Loop identifies cases that were triaged green but cancelled or had complications — your missed cases.
- Does not analyze medical images or signals
- Displays clinical basis for recommendations
- Supports — does not replace — clinician judgment
- Intended for healthcare professionals
- Prepared by Troutman Pepper
- 74-page specification, 30 claims
- Core AI architecture for clinical risk assessment
- 12-month window for utility patent filing
Simple, Per-Provider Pricing
No implementation fees. Cancel anytime. Start with our founding rate.
- 150 assessments/month
- AI notes + risk scoring
- Smart triage (G/Y/R)
- Basic analytics
- 2–10 providers
- Unlimited assessments
- Video visits
- Full analytics + feedback loop
- EHR integration + SSO
- Dedicated support
- White-label option
- Custom SLAs
10 providers × $199
5 cancellations
$109 → $215–237/visit
cancellation threshold
See It In Action
From SMS invite to signed pre-anesthesia note in under two minutes.
No PHI is collected in the demo. HIPAA-compliant infrastructure for production use.
The Data Flywheel
No competitor can replicate without both the pre-op assessment layer and outcome-calibrated models deployed simultaneously.
Anish Joseph
Practicing Anesthetist | BME, Georgia Tech | Founder & CEO
Does pre-op assessments every day — knows exactly what's broken. Built MargamSim CF2. The rare combination of clinician, engineer, and ML researcher who lives the problem daily.