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关于全科医疗工作人员对人工智能辅助糖尿病视网膜病变筛查的经验和看法的宝贵见解——一项访谈研究。

Valuable insights into general practice staff's experiences and perspectives on AI-assisted diabetic retinopathy screening-An interview study.

作者信息

Krogh Malene, Hentze Malene, Jensen Morten Sig Ager, Jensen Martin Bach, Nielsen Marie Germund, Vorum Henrik, Kolding Kristensen Jette

机构信息

Center for General Practice at Aalborg University, Aalborg, Denmark.

Department of Otorhinolaryngology, Head and Neck and Audiology, Aalborg University Hospital, Aalborg, Denmark.

出版信息

Front Med (Lausanne). 2025 Mar 11;12:1565532. doi: 10.3389/fmed.2025.1565532. eCollection 2025.

Abstract

AIM

This study explores the hands-on experiences and perspectives of general practice staff regarding the feasibility of conducting artificial intelligence-assisted (AI-assisted) diabetic retinopathy screenings (DRS) in general practice settings.

METHOD

The screenings were tested in 12 general practices in the North Denmark Region and were conducted as part of daily care routines over ~4 weeks. Subsequently, 21 staff members involved in the DRS were interviewed.

RESULTS

Thematic analysis generated four main themes: (1) Experiences with DRS in daily practice, (2) Effective DRS implementation in general practice in the future, (3) Trust and approval of AI-assisted DRS in general practice, and (4) Implications of DRS in general practice. The findings suggest that general practice staff recognise the potential for AI-assisted DRS to be integrated into their clinical workflows. However, they also emphasise the importance of addressing both practical and systemic factors to ensure successful implementation of DRS within the general practice setting.

CONCLUSION

Focusing on the practical experiences and perspectives of general practice staff, this study lays the groundwork for future research aimed at optimising the implementation of AI-assisted DRS in general practice settings, while recognising that the insights gained may also inform broader primary care contexts.

摘要

目的

本研究探讨了全科医疗工作人员在全科医疗环境中开展人工智能辅助糖尿病视网膜病变筛查(DRS)的可行性方面的实践经验和观点。

方法

在丹麦北部地区的12家全科医疗机构对筛查进行了测试,并作为约4周日常护理工作的一部分开展。随后,对参与DRS的21名工作人员进行了访谈。

结果

主题分析产生了四个主要主题:(1)日常实践中DRS的经验,(2)未来在全科医疗中有效实施DRS,(3)全科医疗中对人工智能辅助DRS的信任和认可,以及(4)DRS在全科医疗中的影响。研究结果表明,全科医疗工作人员认识到人工智能辅助DRS融入其临床工作流程的潜力。然而,他们也强调解决实际和系统因素对于确保在全科医疗环境中成功实施DRS的重要性。

结论

本研究关注全科医疗工作人员的实践经验和观点,为未来旨在优化人工智能辅助DRS在全科医疗环境中实施的研究奠定了基础,同时认识到所获得的见解也可能为更广泛的初级保健环境提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b21/11933039/f34ccf468481/fmed-12-1565532-g0001.jpg

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