AI takes on medical paperwork: can it code better than humans?

NCT ID NCT06286865

Completed Knowledge-focused Sponsor: University Hospital of North Norway Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This completed trial tested whether an AI system called Easy-ICD helps clinical coders assign ICD-10 codes to medical notes more quickly and accurately. Fifteen healthcare professionals coded 20 clinical notes both with and without the AI tool. The goal was to see if AI can reduce the burden of clinical coding while improving quality.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: Easy-ICD (AI-based computer-assisted clinical coding system)
What this could lead to: If it works, this could show that AI can help medical coders work faster and more accurately, potentially reducing administrative burden in healthcare.
What could go wrong: This is a small, early-stage trial with only 15 participants, so results may not apply broadly. The AI tool may not improve accuracy or speed in real-world settings.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

digestive system disorder

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

GASTROINTESTINAL DISEASES

Contacts and locations

Locations

Norwegian Centre for E-health Research

Tromsø, Troms, 9019, Norway

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Other studies related to the condition(s) this trial covers.