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Improving Quality of ICD-10 Coding Using AI: Protocol for a Crossover Randomized Controlled Trial
Sponsor: University Hospital of North Norway
Summary
The goal of this randomised trial is to learn about the role of AI in clinical coding practice. The main question it aims to answer is: Can the AI-based CAC system reduce the burden of clinical coding and also improve the quality of such coding? Participants will be asked to code clinical texts both while they use our CAC system and while they do not.
Official title: Improving Quality of ICD-10 (International Statistical Classification of Diseases, Tenth Revision) Coding Using AI: Protocol for a Crossover Randomized Controlled Trial
Key Details
Gender
All
Age Range
Any - Any
Study Type
INTERVENTIONAL
Enrollment
15
Start Date
2023-10-20
Completion Date
2024-05-31
Last Updated
2026-06-25
Healthy Volunteers
Yes
Conditions
Interventions
Easy-ICD
Easy-ICD is an AI-based computer-assisted clinical coding (CAC) system that helps clinical coder assign ICD-10 codes to clinical notes such as discharge summaries.
Locations (1)
Norwegian Centre for E-health Research
Tromsø, Troms, Norway