Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden.
Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden.
复制标题
在医疗保健中实施人工智能的挑战：对瑞典医疗保健领导人的定性访谈研究。
DOI：
10.1186/s12913-022-08215-8
复制
发表时间：
2022-07-01
影响因子：
2.8
通讯作者：
中科院分区：
文献类型：
--
作者：
医疗保健人工智能（AI）为世界各地卫生系统面临的一些挑战提供了潜在的解决方案。然而，在实施和创新研究中，新技术经常受到医疗保健领导者的抵制，这导致了他们的缓慢和可变的吸收。虽然已经对各种利益相关者对人工智能实施的观点进行了研究，但很少有研究调查领导者对医疗保健中人工智能实施问题的观点。了解医疗保健领导者的观点至关重要，因为他们在医疗保健新技术的实施过程中发挥着关键作用。本研究的目的是探讨瑞典地区医疗保健环境中的领导者所认为的有关医疗保健中实施人工智能的挑战。本研究采用了探索性的定性方法。于2020年10月至2021年5月期间，对26名医疗保健领导者进行了个人半结构化访谈。分析采用定性内容分析法和归纳法进行。分析产生了三个类别，代表了与医疗保健中实施人工智能相关的三种类型的挑战：1）医疗保健系统外部的条件; 2）战略变革管理的能力; 3）医疗保健专业和医疗保健实践的转型。最后，医疗保健领导者强调了医疗保健系统内外，特别是其组织内部与人工智能相关的几个实施挑战。挑战包括医疗保健系统的外部条件，战略变革管理的内部能力，沿着医疗保健专业和医疗保健实践的转变。研究结果表明，需要在医疗机构中制定实施战略，以应对人工智能特定能力建设的挑战。需要法律和政策来规范有效的人工智能实施策略的设计和执行。有必要在实施过程中投入时间和资源，与医疗保健，县议会和行业合作伙伴进行合作。
Artificial intelligence (AI) for healthcare presents potential solutions to some of the challenges faced by health systems around the world. However, it is well established in implementation and innovation research that novel technologies are often resisted by healthcare leaders, which contributes to their slow and variable uptake. Although research on various stakeholders’ perspectives on AI implementation has been undertaken, very few studies have investigated leaders’ perspectives on the issue of AI implementation in healthcare. It is essential to understand the perspectives of healthcare leaders, because they have a key role in the implementation process of new technologies in healthcare. The aim of this study was to explore challenges perceived by leaders in a regional Swedish healthcare setting concerning the implementation of AI in healthcare. The study takes an explorative qualitative approach. Individual, semi-structured interviews were conducted from October 2020 to May 2021 with 26 healthcare leaders. The analysis was performed using qualitative content analysis, with an inductive approach. The analysis yielded three categories, representing three types of challenge perceived to be linked with the implementation of AI in healthcare: 1) Conditions external to the healthcare system; 2) Capacity for strategic change management; 3) Transformation of healthcare professions and healthcare practice. In conclusion, healthcare leaders highlighted several implementation challenges in relation to AI within and beyond the healthcare system in general and their organisations in particular. The challenges comprised conditions external to the healthcare system, internal capacity for strategic change management, along with transformation of healthcare professions and healthcare practice. The results point to the need to develop implementation strategies across healthcare organisations to address challenges to AI-specific capacity building. Laws and policies are needed to regulate the design and execution of effective AI implementation strategies. There is a need to invest time and resources in implementation processes, with collaboration across healthcare, county councils, and industry partnerships.
登录
查看更多内容
DOI：
10.1186/1748-5908-4-50
发表时间：
2009-08-07
期刊：
Implementation science : IS
影响因子：
--
作者：
Damschroder LJ;Aron DC;Keith RE;Kirsh SR;Alexander JA;Lowery JC
通讯作者：
Lowery JC
影响因子：
--
作者：
Buchanan C;Howitt ML;Wilson R;Booth RG;Risling T;Bamford M
通讯作者：
Bamford M
影响因子：
7.5
作者：
Battilana, Julie;Gilmartin, Mattia;Alexander, Jeffrey A.
通讯作者：
Alexander, Jeffrey A.
影响因子：
4.5
作者：
Ashfaq, Awais;Sant'Anna, Anita;Nowaczyk, Slawomir
通讯作者：
Nowaczyk, Slawomir
影响因子：
--
作者：
Foadi N;Varghese J
通讯作者：
Varghese J