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通过 GPT-4 对美国内科专业的分析来应对肾脏病学的衰落:定性研究。

Navigating Nephrology's Decline Through a GPT-4 Analysis of Internal Medicine Specialties in the United States: Qualitative Study.

机构信息

Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, 200 1st st sw, Rochester, MN, 55905, United States, 1 507 594 4700.

出版信息

JMIR Med Educ. 2024 Oct 10;10:e57157. doi: 10.2196/57157.

Abstract

BACKGROUND

The 2024 Nephrology fellowship match data show the declining interest in nephrology in the United States, with an 11% drop in candidates and a mere 66% (321/488) 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

Using the GPT-4 model, the study compared nephrology with 13 other internal medicine specialties, evaluating each on 7 criteria including intellectual complexity, work-life balance, procedural involvement, research opportunities, patient relationships, career demand, and financial compensation. Each criterion 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 ranked nephrology only above sleep medicine. While nephrology scored higher than hospice and palliative medicine, it fell short in key criteria such as 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% (155/348) filled rate of geriatric medicine. Nephrology's score decreased by 4%-14% in 5 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.

摘要

背景

2024 年肾脏病学研究员职位匹配数据显示,美国对肾脏病学的兴趣正在下降,候选人数下降了 11%,仅有 66%(321/488)的职位得到填补。

目的

本研究旨在利用 ChatGPT(一种领先的聊天机器人模型)来探究影响这一趋势的因素,以深入了解肾脏病学与其他内科专业相比的相对吸引力。

方法

使用 GPT-4 模型,本研究将肾脏病学与 13 个其他内科专业进行了比较,根据 7 个标准评估了每个专业,包括智力复杂性、工作生活平衡、程序参与度、研究机会、医患关系、职业需求和经济补偿。每个标准的分值为 1 到 10 分,累计得分决定排名。该方法通过指示 GPT-4 在反转场景中偏向其他专业而非肾脏病学来抵消潜在的偏差。

结果

GPT-4 将肾脏病学排在睡眠医学之后。虽然肾脏病学的得分高于姑息医学,但在工作生活平衡、医患关系和职业需求等关键标准方面表现不佳。在分析 2024 年预约年匹配中填补职位的百分比时,肾脏病学的填补率为 66%,仅高于老年医学的 45%(155/348)填补率。在包括智力挑战和复杂性、程序参与度、职业机会和需求、研究和学术机会以及经济补偿在内的 5 个标准中,肾脏病学的得分下降了 4%-14%。

结论

ChatGPT 并不倾向于肾脏病学而不是大多数内科专业,突出表明其作为职业选择的吸引力正在下降。这一趋势令人担忧,尤其是考虑到整体医生短缺的情况,促使人们重新评估影响住院医师专业选择的因素。

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