AI integration in nephrology: evaluating ChatGPT for accurate ICD-10 documentation and coding.

ABSTRACT:

Background

Accurate ICD-10 coding is crucial for healthcare reimbursement, patient care, and research. AI implementation, like ChatGPT, could improve coding accuracy and reduce physician burden. This study assessed ChatGPT's performance in identifying ICD-10 codes for nephrology conditions through case scenarios for pre-visit testing.

Methods

Two nephrologists created 100 simulated nephrology cases. ChatGPT versions 3.5 and 4.0 were evaluated by comparing AI-generated ICD-10 codes against predetermined correct codes. Assessments were conducted in two rounds, 2 weeks apart, in April 2024.

Results

In the first round, the accuracy of ChatGPT for assigning correct diagnosis codes was 91 and 99% for version 3.5 and 4.0, respectively. In the second round, the accuracy of Ch

SUBMITTER: Abdelgadir Y 

PROVIDER: S-EPMC11402808 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature