Vanamali Dharma Rao, Gara Himavathy K, Dronamraju Venkata Anil Chandra
Professor and Head of the Department, Department of General Medicine, Gayatri Vidya Parishad Institute of Healthcare and Medical Technology, Visakhapatnam, Andhra Pradesh, India, Orcid: https://orcid.org/0000-0003-2500-8263, Corresponding Author.
Professor, Department of Physiology, Gayatri Vidya Parishad Institute of Healthcare and Medical Technology, Visakhapatnam, Andhra Pradesh, India.
J Assoc Physicians India. 2025 Apr;73(4):e6-e12. doi: 10.59556/japi.73.0909.
Artificial intelligence (AI) is transforming healthcare by enhancing diagnostics, treatment planning, and patient management. However, the successful integration of AI depends on healthcare professionals' (HCPs) knowledge, attitudes, and practices (KAP). The study aimed to evaluate the KAP of HCPs regarding the role of AI in healthcare. Additionally, the study aimed to identify key barriers, such as ethical concerns and technical limitations, that hinder AI adoption.
A cross-sectional study was conducted using an online structured questionnaire targeting doctors, medical students, and nurses. The survey, distributed Google Forms, measured participants' demographics, KAPs regarding AI. Purposive and snowball sampling methods were employed to recruit a total of 350 participants.
A total of 350 participants completed the survey, with the majority being medical students (52%) and younger professionals aged 18-27 years (73.1%). AI's primary use was in diagnostics (71.1%), followed by treatment protocol development (45.4%) and drug development (33.1%). Most respondents rated their technical skills as low or very low, with medical students showing slightly higher proficiency compared to nurses and faculty members. Ethical concerns were prominent, with 46% of participants highlighting data privacy and security issues, followed by concerns about high costs (23.7%) and over-reliance on manual processes (16.6%). Significant differences were observed between professions: medical students and faculty were more open to AI's role in making critical decisions (60.98% and 61.94%, respectively) than nurses (29.41%). Additionally, 97% of nurses expressed willingness to undergo AI training compared to 86% of faculty and 82% of medical students. However, confidence in AI's ability to improve clinical outcomes was mixed, with 35.71% agreeing, 29.71% neutral, and 40% regularly using AI tools in practice.
The findings highlight a positive attitude toward AI in healthcare, with substantial recognition of its benefits, especially in diagnostics. However, significant gaps in knowledge, technical skills, and awareness of ethical issues remain, particularly among nurses. Tailored education and training programs are needed to bridge these gaps and enhance AI readiness in healthcare practice.
人工智能（AI）正在通过改进诊断、治疗规划和患者管理来改变医疗保健行业。然而，人工智能的成功整合取决于医疗保健专业人员（HCPs）的知识、态度和实践（KAP）。该研究旨在评估HCPs对人工智能在医疗保健中作用的KAP。此外，该研究旨在识别阻碍人工智能采用的关键障碍，如伦理问题和技术限制。
采用在线结构化问卷对医生、医学生和护士进行横断面研究。该调查通过谷歌表单分发，测量参与者的人口统计学特征、对人工智能的KAP。采用目的抽样和滚雪球抽样方法共招募了350名参与者。
共有350名参与者完成了调查，其中大多数是医学生（52%）和18 - 27岁的年轻专业人员（73.1%）。人工智能的主要用途是诊断（71.1%），其次是治疗方案制定（45.4%）和药物研发（33.1%）。大多数受访者将自己的技术技能评为低或非常低，医学生的熟练程度略高于护士和教员。伦理问题较为突出，46%的参与者强调数据隐私和安全问题，其次是对高成本的担忧（23.7%）和对人工流程过度依赖的担忧（16.6%）。不同职业之间存在显著差异：医学生和教员比护士（分别为60.98%和61.94%）更愿意接受人工智能在做出关键决策中的作用（29.41%）。此外，97%的护士表示愿意接受人工智能培训，而教员为86%，医学生为82%。然而，对人工智能改善临床结果能力的信心不一，35.71%的人表示同意，29.71%的人持中立态度，40%的人在实践中经常使用人工智能工具。
研究结果凸显了医疗保健领域对人工智能的积极态度，对其益处有充分认识，尤其是在诊断方面。然而，在知识、技术技能和伦理问题意识方面仍存在显著差距，尤其是在护士中。需要量身定制的教育和培训计划来弥合这些差距，提高医疗保健实践中对人工智能的准备程度。
