Kasaye Mulugeta Desalegn, Getahun Amare Gebrie, Kalayou Mulugeta Hayelom
Department of Health Informatics, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Department of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Digit Health. 2025 Apr 13;11:20552076251330552. doi: 10.1177/20552076251330552. eCollection 2025 Jan-Dec.
Although artificial intelligence (AI) can boost clinical decision-making, personalize patient treatment, and advance the global health sectors, there are unique implementation challenges and considerations in developing countries. The perceptions, attitudes, and behavioral factors among the users are limitedly identified in Ethiopia.
This study aimed to explore AI in healthcare from the perspectives of health professionals in a resource-limited setting.
We employed a cross-sectional descriptive study including 404 health professionals. Data were collected using a self-structured questionnaire. A simple random sampling technique was applied. We used SPSS to analyze data. Tables and graphs were used to present the findings.
A 95.7% response rate was reported. The mean age of the respondents was 32.57 ± 5.34 SD. Almost 254 (62.9%) of the participants were Bachelors of Science degree holders. Nearly 156 (38.6%) of the participants were medical doctors. More than 50% (52.2%) of them said AI would be applicable for diagnosis and treatment purposes in healthcare organizations. This study identified that a favorable attitude, good knowledge, and formal training regarding AI technologies would foster clinical decision-making practices more efficiently and accurately. Similarly, our study also identified the potential barriers to AI technologies in healthcare such as ethical issues, privacy and security of patient data were some to mention.
Our study revealed that positive attitude, good knowledge, and formal training are crucial to advance healthcare using AI technologies. In addition, this study identified self-reported AI concerns of the participants such as; privacy and security of data, ethical issues, and accuracy of AI systems. Attention could be given to overcome the barriers of AI systems in the health system. Providing training, allocating time to practice AI tools, incorporating AI courses in the curricula of medical education, and improving knowledge can further the usage of AI systems in healthcare settings.
尽管人工智能（AI）能够促进临床决策、使患者治疗个性化并推动全球卫生领域的发展，但在发展中国家，其实施存在独特的挑战和需要考虑的因素。在埃塞俄比亚，对用户的认知、态度和行为因素的了解有限。
本研究旨在从资源有限环境下的卫生专业人员角度探索医疗保健中的人工智能。
我们采用了一项横断面描述性研究，纳入了404名卫生专业人员。使用自行编制的问卷收集数据。采用简单随机抽样技术。我们使用SPSS分析数据。通过表格和图表展示研究结果。
报告的回复率为95.7%。受访者的平均年龄为32.57±5.34标准差。近254名（62.9%）参与者拥有理学学士学位。近156名（38.6%）参与者是医生。超过50%（52.2%）的人表示人工智能将适用于医疗机构的诊断和治疗目的。本研究发现，对人工智能技术持积极态度、具备良好知识和接受正规培训将更高效、准确地促进临床决策实践。同样，我们的研究还确定了医疗保健中人工智能技术的潜在障碍，如伦理问题、患者数据的隐私和安全等。
我们的研究表明，积极的态度、良好的知识和正规培训对于利用人工智能技术推进医疗保健至关重要。此外，本研究确定了参与者自我报告的对人工智能的担忧，如数据的隐私和安全、伦理问题以及人工智能系统的准确性。可以关注克服卫生系统中人工智能系统的障碍。提供培训、分配时间练习人工智能工具、将人工智能课程纳入医学教育课程以及提高知识水平可以进一步推动人工智能系统在医疗保健环境中的使用。
