Assessing AI Accuracy in Generating CPT Codes From Surgical Operative Notes
This study demonstrates that AI may be a clinically valuable resource for craniofacial CPT coding, reducing administrative burden and increasing coding accuracy. Findings from this research could inform the integration of AI into medical billing practices, promoting efficiency in surgical specialties. Future research will explore generalizability to other surgical domains and refinement of AI models for coding tasks.
Authors
- Bhavana Thota (ORCID: https://orcid.org/0000-0001-7208-1215)
- D. Mitchell Self
- Edward J. Caterson (ORCID: https://orcid.org/0000-0003-4024-650X)
- Sydney Somers (ORCID: https://orcid.org/0000-0002-6854-5053)
- Emily L. Isch (ORCID: https://orcid.org/0009-0002-1974-6972)
- Judith Monzy
Institutions
- Thomas Jefferson University (US)
- Jefferson Hospital for Neuroscience (US)
Publication Details
- Journal
- Journal of Craniofacial Surgery
- Published
- 2025-03-24
- DOI
- https://doi.org/10.1097/scs.0000000000011258
- Citations
- 4
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 2.62