Norwegian Centre for E-health Research
Tromsø, Troms, 9019, Norway
NCT Number: NCT06286865
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.
Looking for future studies?
Notify MeAll sexes
Interventional
Not applicable
Tromsø, Troms, 9019, Norway
Once participants are recruited, they are randomly allocated to 2 groups without allocation concealment. Allocation concealment will not be relevant for clinical coders since it is known whether a participant is assisted or not, and we will not develop a placebo coding assistant. We will, however, conceal the allocation of subjects for the analyses.
In total, participants will code 20 clinical notes, where each note belongs to a single patient. The participants are asked to complete the experiment in 1 sitting without interruptions, and they cannot revisit or go back to previous notes. In the event that participants are interrupted, they are asked to exit the experiment, and any incomplete records are discarded as invalid.
The user study process can be summarized in the following steps:
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
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.
Time frame: 1 hour
Time in seconds taken to assign ICD-10 codes to each of the 20 clinical notes.
Time frame: 1 hour
Accuracy is calculated by dividing the number of correct ICD-10 codes by the total number of codes assigned.
University Hospital of North Norway
Other
Improving Quality of ICD-10 (International Statistical Classification of Diseases, Tenth Revision) Coding Using AI: Protocol for a Crossover Randomized Controlled Trial
Acronym: ClinCode
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT06159088
Digestive System Diseases, Gastrointestinal Diseases
Jinhua, Zhejiang, China
View Trial DetailsNCT01697397
Colonic Diseases, Colonic Diseases, Functional
Mountain View, California, United States
View Trial DetailsNCT05298774
Digestive System Diseases, Gastrointestinal Diseases
New Haven, Connecticut, United States
View Trial DetailsNCT07083440
Digestive System Diseases, Gastrointestinal Diseases
Shijiazhuang, Hebei, China
View Trial Details