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有价值的见解通用诊所工作人员对人工智能辅助糖尿病视网膜病变查的经验和观点-一个采访研究
Malene Krogh1, Malene Hentze2, Morten Sig Ager Jensen1
1Center for General Practice at Aalborg University, Aalborg, Denmark.
Frontiers in medicine
|March 26, 2025
概括
一般医务人员发现人工智能辅助 (AI-assisted) 糖尿病视网膜病变查 (DRS) 是可行的. 成功实施需要解决将人工智能辅助的DRS整合到初级保健中的实际和系统因素.
科学领域:
- 初级保健研究研究初级保健研究
- 医疗技术评估 医疗技术评估
- 眼科医生 眼科 眼科
背景情况:
- 糖尿病视网膜病变 (DR) 是导致视力丧失的主要原因.
- 通过查及早检测对于预防失明至关重要.
- 将新技术整合到一般实践中需要了解员工的观点.
研究的目的:
- 探索全科医院工作人员对人工智能辅助糖尿病视网膜病变查 (DRS) 的经验.
- 评估可行性,并确定在初级保健机构成功实施人工智能辅助DRS的因素.
主要方法:
- 涉及12个一般实践中人工智能辅助的DRS的前性研究.
- 在大约四周的时间内,在例行护理中进行查.
- 与21名参与的通用实践工作人员进行了定性采访.
主要成果:
- 工作人员认识到人工智能辅助的DRS在临床工作流集成方面的潜力.
- 出现了四个主要主题:日常实践经验,未来实施,信任/认可和影响.
- 成功的整合需要解决实际和系统的实施因素.
结论:
- 一般医务人员对人工智能辅助的DRS持开放态度,认为它是一种潜在的有价值的工具.
- 解决实际和系统障碍对于在初级保健中有效部署人工智能辅助的DRS至关重要.
- 结果为优化人工智能辅助的DRS实施和更广泛的初级保健技术采用提供了见解.
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