了解提供者对印度非正式医疗保健部门人工智能的态度:调查研究研究
Sumeet Kumar1, Snehil Rayal1, Raghuram Bommaraju1
1Indian School of Business, Gachibowli, ISB Road, Hyderabad, India, +91 7075969318.
JMIR formative research
|February 11, 2025
概括
人工智能 (AI) 显示出改善结核病 (TB) 诊断的希望. 然而,在医疗保健提供者中,采用人工智能的意愿因地区和对现有诊断方法的信任而有很大差异.
科学领域:
- 医学诊断 医学诊断 医学诊断
- 医疗保健中的人工智能
- 全球健康 全球健康
背景情况:
- 结核病 (TB) 仍然是一个重大的全球卫生挑战,每年有数百万人死亡.
- 目前的结核病诊断方法往往在准确性,成本和可访问性方面面临限制.
- 人工智能增强的胸部X射线为改善结核病诊断提供了一个有希望的替代方案.
研究的目的:
- 评估阿育吠陀,和自然疗法,Unani,Siddha和顺势疗法 (AYUSH) 以及非正式医疗保健提供者 (AIP) 对印度结核病诊断的AI的采用态度.
- 了解影响AIP将人工智能纳入结核病诊断实践的意愿因素.
主要方法:
- 在印度哈德邦和古吉拉特邦的406个AIP进行了横截面调查.
- 该调查评估了供应商的信心,对放射科医生的信心,对人工智能能力的信念,以及愿意采用人工智能进行结核病诊断的意愿.
主要成果:
- 高比例的AIP (93.7%) 认为人工智能可以提高结核病诊断的准确性.
- 尝试人工智能的总体意愿为69.4%,但在古吉拉特州 (73.4%) 和哈克邦 (58.4%) 之间存在显著差异.
- 对当地放射科医生的信任显示,这两个州对人工智能采用意愿产生了截然不同的影响.
结论:
- 尽管认识到AI的潜力,但在AIPs中,感知到的好处和实际采用意图之间存在差距.
- 针对性干预,以提高提供商信心和解决区域基础设施差异为重点,对于成功实施AI至关重要.
- 加强对放射学服务访问有限的提供者之间的信念,可以最大限度地提高AI对结核病诊断的影响.
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