Patient and practitioner perceptions around use of artificial intelligence within the English NHS diabetic eye screening programme

IF 6.1 3区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Charlotte Wahlich , Lakshmi Chandrasekaran , Umar A.R. Chaudhry , Kathryn Willis , Ryan Chambers , Louis Bolter , John Anderson , Royce Shakespeare , Abraham Olvera-Barrios , Jiri Fajtl , Roshan Welikala , Sarah Barman , Catherine A. Egan , Adnan Tufail , Christopher G. Owen , Alicja R. Rudnicka
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Abstract

Aims

Automated retinal image analysis using Artificial Intelligence (AI) can detect diabetic retinopathy as accurately as human graders, but it is not yet licensed in the NHS Diabetic Eye Screening Programme (DESP) in England. This study aims to assess perceptions of People Living with Diabetes (PLD) and Healthcare Practitioners (HCP) towards AI’s introduction in DESP.

Methods

Two online surveys were co-developed with PLD and HCP from a diverse DESP in North East London. Surveys were validated through interviews across three centres and distributed via DESP centres, charities, and the British Association of Retinal Screeners. A coding framework was used to analyse free-text responses.

Results

387 (24%) PLD and 98 (37%) HCP provided comments. Themes included trust, workforce impact, the patient-practitioner relationship, AI implementation challenges, and inequalities. Both groups agreed AI in DESP was inevitable, would improve efficiency, and save costs. Concerns included job losses, data security, and AI decision safety. A common misconception was that AI would directly affect patient interactions, though it only processes retinal images.

Conclusions

Limited understanding of AI was a barrier to acceptance. Educating diverse PLD groups and HCP about AI’s accuracy and reliability is crucial to building trust and facilitating its integration into screening practices.
患者和医生对在英国国民健康保险制度糖尿病眼科筛查项目中使用人工智能的看法。
目的:使用人工智能(AI)的自动视网膜图像分析可以像人类分级师一样准确地检测糖尿病视网膜病变,但它尚未在英国的NHS糖尿病眼筛查计划(DESP)中获得许可。本研究旨在评估糖尿病患者(PLD)和医疗保健从业者(HCP)对人工智能在DESP中引入的看法。方法:两个在线调查共同开发与PLD和HCP从不同的DESP在伦敦东北部。调查通过三个中心的访谈得到验证,并通过DESP中心、慈善机构和英国视网膜筛查协会进行分发。编码框架用于分析自由文本响应。结果:387名(24%)PLD和98名(37%)HCP提出了意见。主题包括信任、劳动力影响、医患关系、人工智能实施挑战和不平等。双方都认为人工智能在DESP中是不可避免的,它将提高效率并节省成本。人们担心的问题包括失业、数据安全和人工智能决策安全。一个常见的误解是,人工智能会直接影响患者的互动,尽管它只处理视网膜图像。结论:对人工智能的有限理解是接受人工智能的障碍。教育不同的PLD团队和HCP关于人工智能的准确性和可靠性对于建立信任和促进其融入筛查实践至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Diabetes research and clinical practice
Diabetes research and clinical practice 医学-内分泌学与代谢
CiteScore
10.30
自引率
3.90%
发文量
862
审稿时长
32 days
期刊介绍: Diabetes Research and Clinical Practice is an international journal for health-care providers and clinically oriented researchers that publishes high-quality original research articles and expert reviews in diabetes and related areas. The role of the journal is to provide a venue for dissemination of knowledge and discussion of topics related to diabetes clinical research and patient care. Topics of focus include translational science, genetics, immunology, nutrition, psychosocial research, epidemiology, prevention, socio-economic research, complications, new treatments, technologies and therapy.
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