聊天GPT医疗保健实践中的依赖障碍:一篇编辑文章
Anamika Chakraborty Samant1, Ishaan Tyagi2, Jyothi Vybhavi3
1Internal Medicine, Chaitanya Hospital and Obesity Centre, Mumbai, IND.
Cureus
|September 5, 2024
概括
在医疗保健中过度依赖像ChatGPT这样的AI聊天机器人可能会导致依赖障碍. 一种平衡,以人为中心的方法对于在患者护理中安全有效地整合人工智能至关重要.
科学领域:
- 医疗保健技术 技术 医疗保健 技术
- 人工智能在医学中的应用
- 临床信息学 临床信息学
背景情况:
- 医疗保健行业越来越多地使用人工智能驱动的对话代理,如ChatGPT.
- 过度依赖这些工具,称为ChatGPT依赖障碍,带来了新出现的挑战.
- 人工智能聊天机器人用于患者咨询,信息传播和临床决策支持.
研究的目的:
- 探索在医疗保健中过度依赖人工智能聊天机器人的后果.
- 在医疗保健专业人员中识别导致ChatGPT依赖障碍的因素.
- 研究将AI聊天机器人集成到临床工作流程中的挑战和好处.
主要方法:
- 文献综述和对医疗保健中人工智能采用的当前趋势的分析.
- 探索诸如便利性,培训缺口和时间压力等促成因素.
- 讨论伦理考虑和患者安全影响.
主要成果:
- 人工智能聊天机器人在医疗保健效率和患者结果方面提供了潜在的好处.
- 诸如方便和时间限制等因素导致专业人士之间的依赖.
- 整合的挑战包括维护道德标准和患者安全.
结论:
- 以人为中心的方法与人工智能技术一起,对于最佳的患者护理至关重要.
- 需要负责任的整合和进一步的研究来解决聊天GPT依赖障碍.
- 促进人工智能在医疗保健中的平衡使用对于道德实践和患者福祉至关重要.
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