Using AI to improve clinical coding for gastrointestinal diseases
Improving Quality of ICD-10 (International Statistical Classification of Diseases, Tenth Revision) Coding Using AI: Protocol for a Crossover Randomized Controlled Trial
NA · University Hospital of North Norway · NCT06286865
This study tests if an AI tool can help healthcare workers code gastrointestinal disease notes more accurately and easily compared to a regular coding system.
Quick facts
| Phase | NA |
|---|---|
| Study type | Interventional |
| Enrollment | 30 (estimated) |
| Sex | All |
| Sponsor | University Hospital of North Norway (other) |
| Locations | 1 site (Tromso, Troms) |
| Trial ID | NCT06286865 on ClinicalTrials.gov |
What this trial studies
This trial investigates the effectiveness of an AI-based Clinical Assistant Coding (CAC) system in enhancing the quality of ICD-10 coding among healthcare professionals. Participants will be randomly assigned to either use the CAC system or a control interface while coding clinical notes. The study aims to determine if the AI system can reduce the burden of coding and improve accuracy. Data will be collected on coding performance and usability through a structured coding task involving 20 clinical notes.
Who should consider this trial
Good fit: Ideal candidates include healthcare professionals such as clinicians, nurses, or professional coders who have prior experience with clinical coding, particularly ICD-10.
Not a fit: Patients who do not have experience in clinical coding or are not healthcare professionals will not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could streamline clinical coding processes and improve the accuracy of coding for gastrointestinal diseases.
How similar studies have performed: While the use of AI in clinical coding is an emerging field, similar studies have shown promising results in improving coding accuracy and efficiency.
Eligibility criteria
Show full inclusion / exclusion criteria
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
Where this trial is running
Tromso, Troms
- Norwegian Centre for E-health Research — Tromso, Troms, Norway (RECRUITING)
Study contacts
- Principal investigator: Hercules Dalianis, PhD — Norwegian Centre for E-health Research
- Study coordinator: Taridzo F Chomutare, PhD
- Email: taridzo.chomutare@ehealthresearch.no
- Phone: +4747680032
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Gastrointestinal Diseases