JMIR Publications

ABSTRACT

Background:

The 2024 Nephrology fellowship match data shows the declining interest in Nephrology in the United States, with an 11% drop in candidates and a mere 66% of positions filled.

Objective:

The study aims to discern the factors influencing this trend using ChatGPT, a leading chatbot model, for insights into the comparative appeal of Nephrology versus other Internal Medicine specialties.

Methods:

Employing the GPT-4 model, the study compared Nephrology with thirteen other Internal Medicine specialties, evaluating each on intellectual complexity, work-life balance, procedural involvement, research opportunities, patient relationships, career demand, and financial compensation. Each specialty was assigned scores from 1 to 10, with the cumulative score determining the ranking. The approach included counteracting potential bias by instructing GPT-4 to favor other specialties over Nephrology in reverse scenarios.

Results:

GPT-4 consistently ranked Nephrology only above Sleep Medicine. While Nephrology scored higher than Hospice and Palliative Medicine, it fell short in key criteria like work-life balance, patient relationships, and career demand. When examining the percentage of filled positions in the 2024 appointment year match, Nephrology’s filled rate was 66%, only higher than the 45% of Geriatric Medicine. Nephrology’s score decreased by 4-14% in five criteria including intellectual challenge and complexity, procedural involvement, career opportunity and demand, research and academic opportunities, and financial compensation.

Conclusions:

ChatGPT does not favor Nephrology over most Internal Medicine specialties, highlighting its diminishing appeal as a career choice. This trend raises significant concerns, especially considering the overall physician shortage, and prompts a reevaluation of factors affecting specialty choice among medical residents.