Implementing an artificial intelligence command centre in the NHS: a mixed-methods study.

Owen Ashby Johnson, Carolyn McCrorie, Ciarán McInerney, Teumzghi F Mebrahtu, Josh Granger, Naeem Sheikh, Tom Lawton, Ibrahim Habli, Rebecca Randell, Jonathan Benn
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引用次数: 0

Abstract

Background: Hospital 'command centres' use digital technologies to collect, analyse and present real-time information that may improve patient flow and patient safety. Bradford Royal Infirmary has trialled this approach and presents an opportunity to evaluate effectiveness to inform future adoption in the United Kingdom.

Objective: To evaluate the impact of the Bradford Command Centre on patient care and organisational processes.

Design: A comparative mixed-methods study. Operational data from a study and control site were collected and analysed. The intervention was observed, and staff at both sites were interviewed. Analysis was grounded in a literature review and the results were synthesised to form conclusions about the intervention.

Setting: The study site was Bradford Royal Infirmary, a large teaching hospital in the city of Bradford, United Kingdom. The control site was Huddersfield Royal Infirmary in the nearby city of Huddersfield.

Participants: Thirty-six staff members were interviewed and/or observed.

Intervention: The implementation of a digitally enabled hospital command centre.

Main outcome measures: Qualitative perspectives on hospital management. Quantitative metrics on patient flow, patient safety, data quality.

Data sources: Anonymised electronic health record data. Ethnographic observations including interviews with hospital staff. Cross-industry review including relevant literature and expert panel interviews.

Results: The Command Centre was implemented successfully and has improved staff confidence of better operational control. Unintended consequences included tensions between localised and centralised decision-making and variable confidence in the quality of data available. The Command Centre supported the hospital through the COVID-19 pandemic, but the direct impact of the Command Centre was difficult to measure as the pandemic forced all hospitals, including the study and control sites, to innovate rapidly. Late in the study we learnt that the control site had visited the study site and replicated some aspects of the command centre themselves; we were unable to explore this in detail. There was no significant difference between pre- and post-intervention periods for the quantitative outcome measures and no conclusive impact on patient flow and data quality. Staff and patients supported the command-centre approaches but patients expressed concern that individual needs might get lost to 'the system'.

Conclusions: Qualitative evidence suggests the Command Centre implementation was successful, but it proved challenging to link quantitative evidence to specific technology interventions. Staff were positive about the benefits and emphasised that these came from the way they adapted to and used the new technology rather than the technology per se.

Limitations: The COVID-19 pandemic disrupted care patterns and forced rapid innovation which reduced our ability to compare study and control sites and data before, during and after the intervention.

Future work: We plan to follow developments at Bradford and in command centres in the National Health Service in order to share learning. Our mixed-methods approach should be of interest to future studies attempting similar evaluation of complex digitally enabled whole-system changes.

Study registration: The study is registered as IRAS No.: 285933.

Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: NIHR129483) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 41. See the NIHR Funding and Awards website for further award information.

在国家医疗服务系统中实施人工智能指挥中心:一项混合方法研究。
背景:医院 "指挥中心 "利用数字技术收集、分析和呈现实时信息,从而改善病人流动和病人安全。布拉德福德皇家医院试行了这种方法,为评估效果提供了一个机会,以便为英国今后采用这种方法提供参考:评估布拉德福德指挥中心对病人护理和组织流程的影响:设计:混合方法比较研究。收集并分析了研究地点和对照地点的运行数据。对干预措施进行了观察,并对两个地点的工作人员进行了访谈。分析以文献综述为基础,并对结果进行综合,以形成有关干预措施的结论:研究地点:布拉德福德皇家医院是英国布拉德福德市的一家大型教学医院。对照地点是附近哈德斯菲尔德市的哈德斯菲尔德皇家医院:对 36 名员工进行了访谈和/或观察:干预措施:实施数字化医院指挥中心:主要结果测量:医院管理的定性视角。数据来源:匿名电子健康记录数据:匿名电子健康记录数据。人种学观察,包括对医院员工的访谈。跨行业审查,包括相关文献和专家小组访谈:指挥中心的成功实施增强了员工对更好的运营控制的信心。意外后果包括本地化决策与集中决策之间的紧张关系,以及对可用数据质量的不同信心。指挥中心为医院度过 COVID-19 大流行提供了支持,但指挥中心的直接影响却很难衡量,因为大流行迫使所有医院(包括研究地点和对照地点)迅速进行创新。在研究后期,我们了解到对照医院访问了研究医院,并自行复制了指挥中心的某些功能;但我们无法对此进行详细探讨。在定量结果测量方面,干预前后没有明显差异,对患者流量和数据质量也没有产生决定性影响。员工和患者都支持指挥中心的方法,但患者表示担心个人需求可能会被 "系统 "所遗忘:定性证据表明,指挥中心的实施是成功的,但要将定量证据与具体的技术干预联系起来却很困难。员工对新技术带来的益处持肯定态度,并强调这些益处来自于他们适应和使用新技术的方式,而不是技术本身:局限性:COVID-19 大流行扰乱了护理模式,迫使我们进行快速创新,这削弱了我们比较研究和对照地点以及干预前、干预期间和干预后数据的能力:我们计划关注布拉德福德和国民健康服务指挥中心的发展,以便分享经验。我们的混合方法对未来尝试对复杂的数字化全系统变革进行类似评估的研究应该会有帮助:研究注册:本研究的注册号为 IRAS No.:285933:该奖项由国家健康与护理研究所(NIHR)的健康与社会护理服务研究项目(NIHR奖项编号:NIHR129483)资助,全文发表于《健康与社会护理服务研究》第12卷第41期。更多奖项信息请参阅 NIHR Funding and Awards 网站。
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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