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“危机之中,蕴含巨大机遇”:英国国民医疗服务体系基层医疗中对人工智能未来应用的认知

'In the Midst of Every Crisis, Lies Great Opportunity': Perceptions of the Future Use of Artificial Intelligence in the UK NHS Primary Care.

作者信息

Greenhalgh Sue, Guo Li, Yeowell Gill

机构信息

Department of Health Professions, Clinical Fellow Manchester Metropolitan University, Manchester Metropolitan University, Manchester, UK.

Department of Computing and Maths, Manchester Metropolitan University, Manchester, UK.

出版信息

Musculoskeletal Care. 2025 Jun;23(2):e70092. doi: 10.1002/msc.70092.

Abstract

BACKGROUND

Amidst a backdrop of crisis in primary healthcare, characterised by increasing patient demands and a stagnant workforce, artificial intelligence (AI) is proposed as a potential enhancer of clinical efficacy and decision-making support. Interviews explored how AI could serve as a 'clinical nudge', assisting rather than supplanting human decision-makers.

METHOD

This qualitative study explores stakeholder perceptions of AI in NHS primary care settings in the Northwest of England through semi-structured interviews and site visits. Participants included healthcare professionals and patients.

RESULTS

All highlighted AI's potential to manage large amounts of patient data that may contain inaccuracies or irrelevant information effectively, and aid in the implementation of clinical guidelines. However, concerns about data quality, cybersecurity and the impact on clinical skills were prevalent.

CONCLUSIONS

Findings suggest a cautious but optimistic view of AI as a tool for improving efficiency and patient safety in primary care, emphasising the need for robust governance structures to ensure its beneficial integration into clinical workflows. This study underlines the necessity of balancing technological innovation with the preservation of essential human elements within the healthcare process.

摘要

背景

在以患者需求不断增加和劳动力停滞不前为特征的基层医疗危机背景下,人工智能(AI)被提议作为临床疗效和决策支持的潜在增强工具。访谈探讨了人工智能如何作为一种“临床助推器”,辅助而非取代人类决策者。

方法

本定性研究通过半结构化访谈和实地考察,探索了英格兰西北部国民保健服务(NHS)基层医疗环境中利益相关者对人工智能的看法。参与者包括医疗专业人员和患者。

结果

所有人都强调了人工智能有效管理大量可能包含不准确或无关信息的患者数据以及协助实施临床指南的潜力。然而,对数据质量、网络安全以及对临床技能的影响的担忧普遍存在。

结论

研究结果表明,对于人工智能作为提高基层医疗效率和患者安全的工具,人们持谨慎但乐观的态度,强调需要强大的治理结构以确保其有益地融入临床工作流程。本研究强调了在医疗过程中平衡技术创新与保留关键人文因素的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a474/12002359/d5491fe487de/MSC-23-e70092-g001.jpg

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