Do Large Language Models Adhere to Clinical Guidelines for Cervical Fusion? A Comparison of Chatbotgenerated Responses with NASS Coverage Recommendations

Presenter Information

Advith Sarikonda, BA, BS, Thomas Jefferson UniversityFollow
Emily Self, MD, Thomas Jefferson UniversityFollow
Dwight Mitchell Self, MD, Thomas Jefferson UniversityFollow
Abhijeet Sambangi, BS, Thomas Jefferson UniversityFollow
Angeleah Carreras, MD, Thomas Jefferson UniversityFollow
Jack Jallo, MD, Thomas Jefferson UniversityFollow

Start Date

5-3-2024 9:10 AM

End Date

5-3-2024 11:00 AM

Description

Background

Introduction:

• Cervical fusion is a widely performed procedure with rapidly increasing usage.
• Despite this surge in utilization, there has been limited exploration into whether cervical fusion procedures align with evidence-based guidelines.
• To address these issues, the North American Spine Society (NASS) has developed EBM coverage recommendations for various diagnostic procedures and therapeutic treatments in the field of spine surgery

Project AIM:

• To assess the efficacy of chatbots in adhering to official guidelines for indications for cervical spine surgery

Keywords

surgical indications, neurosurgery, spine surgery, cervical fusion

Comments

Presented at the 2024 Jefferson Health Equity and Quality Improvement (HEQI) Summit.