Newlands Rumana, Bruhn Hanne, Díaz Magdalena Rzewuska, Lip Gerald, Anderson Lesley A, Ramsay Craig
Health Services Research Unit, University of Aberdeen, Aberdeen, UK.
North East Scotland Breast Screening Programme, NHS Grampian, Aberdeen, UK.
BMC Health Serv Res. 2024 May 2;24(1):569. doi: 10.1186/s12913-024-10926-z.
The national breast screening programme in the United Kingdom is under pressure due to workforce shortages and having been paused during the COVID-19 pandemic. Artificial intelligence has the potential to transform how healthcare is delivered by improving care processes and patient outcomes. Research on the clinical and organisational benefits of artificial intelligence is still at an early stage, and numerous concerns have been raised around its implications, including patient safety, acceptance, and accountability for decisions. Reforming the breast screening programme to include artificial intelligence is a complex endeavour because numerous stakeholders influence it. Therefore, a stakeholder analysis was conducted to identify relevant stakeholders, explore their views on the proposed reform (i.e., integrating artificial intelligence algorithms into the Scottish National Breast Screening Service for breast cancer detection) and develop strategies for managing 'important' stakeholders.
A qualitative study (i.e., focus groups and interviews, March-November 2021) was conducted using the stakeholder analysis guide provided by the World Health Organisation and involving three Scottish health boards: NHS Greater Glasgow & Clyde, NHS Grampian and NHS Lothian. The objectives included: (A) Identify possible stakeholders (B) Explore stakeholders' perspectives and describe their characteristics (C) Prioritise stakeholders in terms of importance and (D) Develop strategies to manage 'important' stakeholders. Seven stakeholder characteristics were assessed: their knowledge of the targeted reform, position, interest, alliances, resources, power and leadership.
Thirty-two participants took part from 14 (out of 17 identified) sub-groups of stakeholders. While they were generally supportive of using artificial intelligence in breast screening programmes, some concerns were raised. Stakeholder knowledge, influence and interests in the reform varied. Key advantages mentioned include service efficiency, quicker results and reduced work pressure. Disadvantages included overdiagnosis or misdiagnosis of cancer, inequalities in detection and the self-learning capacity of the algorithms. Five strategies (with considerations suggested by stakeholders) were developed to maintain and improve the support of 'important' stakeholders.
Health services worldwide face similar challenges of workforce issues to provide patient care. The findings of this study will help others to learn from Scottish experiences and provide guidance to conduct similar studies targeting healthcare reform.
researchregistry6579, date of registration: 16/02/2021.
由于劳动力短缺以及在新冠疫情期间暂停,英国的国家乳房筛查计划面临压力。人工智能有潜力通过改善护理流程和患者治疗效果来改变医疗服务的提供方式。关于人工智能临床和组织效益的研究仍处于早期阶段,围绕其影响引发了诸多担忧,包括患者安全、接受度以及决策责任等。将人工智能纳入乳房筛查计划的改革是一项复杂的工作,因为有众多利益相关者对其产生影响。因此,开展了一项利益相关者分析,以确定相关利益相关者,探讨他们对拟议改革(即将人工智能算法整合到苏格兰国家乳腺癌筛查服务中)的看法,并制定管理“重要”利益相关者的策略。
采用世界卫生组织提供的利益相关者分析指南,于2021年3月至11月开展了一项定性研究(即焦点小组和访谈),涉及三个苏格兰卫生委员会:NHS大格拉斯哥和克莱德、NHS格兰扁和NHS洛锡安。目标包括:(A)确定可能的利益相关者;(B)探索利益相关者的观点并描述其特征;(C)根据重要性对利益相关者进行排序;(D)制定管理“重要”利益相关者的策略。评估了七个利益相关者特征:他们对目标改革的了解程度、立场、兴趣、联盟、资源、权力和领导力。
来自14个(已识别的17个中的)利益相关者子群体的32名参与者参与了研究。虽然他们总体上支持在乳房筛查计划中使用人工智能,但也提出了一些担忧。利益相关者对改革的了解程度、影响力和兴趣各不相同。提到的主要优点包括服务效率、更快的结果和减轻工作压力。缺点包括癌症的过度诊断或误诊、检测方面的不平等以及算法的自我学习能力。制定了五项策略(以及利益相关者提出的考虑因素),以维持和提高“重要”利益相关者 的支持度。
全球卫生服务在提供患者护理方面面临类似的劳动力问题挑战。本研究结果将帮助其他国家借鉴苏格兰的经验,并为开展针对医疗改革的类似研究提供指导。
researchregistry6579,注册日期:2021年2月16日。