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

NCT ID NCT06286865

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

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

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.

Study facts

What this study's own registry entry says, in plain language.

Phase

Not a phased trial

Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.

Participants

15 people

The number who actually took part.

Started

Oct 2023

Finished

May 2024

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Ages

Children (under 18), adults (18 to 64) and older adults (65 and over)

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * participant has coded clinical texts before, preferably ICD-10 coding * is a healthcare professional, eg. clinician, nurse, professional coders * can understand Swedish Exclusion Criteria: * participants outside Norway and Sweden

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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

More trials for these conditions

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