AI-Powered Clinical Coding
Accurate ICD Codes
in Seconds
KatlaCode reads physician notes and suggests the right diagnosis codes — seamlessly integrated into hospital workflows.
The Problem
Doctors Spend Hours Coding.
Hospitals Lose Revenue.
10,000+
ICD-10 codes to navigate
$31.7B1
Medicare improper payments, FY 2024
~16 min2
Avg. EHR time per patient encounter
The Solution
AI That Reads Notes and
Suggests the Right Codes
Real-Time Analysis
Clinical notes are analyzed as they are written, providing instant code suggestions without interrupting the workflow.
Confidence Ranking
Each suggested code comes with a confidence score, helping clinicians prioritize and verify the most likely diagnoses.
EHR Integration
Seamlessly embedded into existing hospital EHR systems — no separate app, no copy-paste, no context switching.
How It Works
Three Steps. Zero Friction.
Shown: KatlaCode at Landspitali University Hospital
The physician enters clinical notes directly into the hospital EHR system as part of their normal workflow. No extra steps required.
Doctor Writes Clinical Notes
The physician enters clinical notes directly into the hospital EHR system as part of their normal workflow. No extra steps required.
AI Suggests ICD-10 Codes
KatlaCode instantly analyzes the note and presents a ranked list of ICD-10 codes with descriptions and confidence scores.
Codes Confirmed with One Click
The clinician reviews the suggestions and confirms the correct codes with a single click. Codes are added to the patient record automatically.
Vision
Building the Future of
Clinical Revenue Integrity
Healthcare systems worldwide lose billions to inaccurate clinical coding. KatlaCode is building the AI infrastructure to ensure every patient encounter is coded correctly — starting in Iceland and scaling globally.
$14B3
Global medical coding market by 2030
~27%4
Of diagnoses coded incorrectly
150+
Countries using ICD-10
10x
Faster coding with AI assistance
Roadmap
Landspítali Pilot
Live deployment at Iceland's largest university hospital
Nordic Expansion
Scaling to hospitals across the Nordic region
Global Multilingual AI Coding
Multi-language clinical NLP for international markets
Founded by Clinicians
and Engineers
Adeline Tracz
CEO & Innovation Leader
Healthcare AI integration at Landspítali
Arnar Þór Guðjónsson
MD, Head of ENT Surgery
Clinical expertise in hospital workflows
Hafsteinn Einarsson
PhD, Associate Professor of CS
Applied AI researcher, ETH Zürich alumnus
Haraldur Orri Hauksson
M.Sc., Software Engineer
Scalable systems, ETH Zürich graduate
Strategic Partners
