数字医疗行业与英国国家医疗服务体系合作的实际经验:行动中的生命科学愿景。

Future healthcare journal Pub Date : 2024-08-08 eCollection Date: 2024-09-01 DOI:10.1016/j.fhj.2024.100168
Rebecca Pope, Alexandros Zenonos, William Bryant, Anastasia Spiridou, Daniel Key, Shiren Patel, Jack Robinson, Anna Styles, Chris Rockenbach, Gina Bicknell, Pavithra Rajendran, Andrew M Taylor, Neil J Sebire
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引用次数: 0

摘要

一些出版物指出,在更广泛地使用匿名的国家医疗服务系统常规医疗数据方面,与行业合作可能会带来益处。然而,关于国家医疗服务系统医院与行业合作伙伴之间应如何更好地开展此类合作,以及在单个项目或合作层面需要解决哪些具体问题才能实现预期效益,目前的指导还很有限。具体来说,常规健康数据非常复杂,收集的格式也不适合二次使用,通常需要根据对医疗条件或患者的临床理解进行解释。为了解决这些问题,英国国家医疗服务系统(NHS)机构(大奥蒙德街儿童医院)和制药公司(罗氏产品有限公司)建立了正式的合作伙伴关系,共同了解需要解决的问题,以便最大限度地利用英国国家医疗服务系统的数据,以更可持续的方式支持改善患者预后和其他患者/英国国家医疗服务系统的利益。我们将介绍为期 5 年的合作中前两年所取得的成果,这些成果涉及英国国家医疗服务系统电子病历 (EPR)、数据工程和使用现代技术优化此类数据等方面的复杂性。此外,在英国国家医疗服务系统内开发适当的技术和数据基础设施,以支持互操作性,并为英国国家医疗服务系统更广泛地应用人工智能做好准备。我们还强调了支持 NHS 中此类系统所需的员工技能和培训、确保适当使用工具和数据所需的治理结构和流程,以及如何最好地与患者、患者家属和临床团队共同设计。我们希望本综述能为医疗机构和行业合作伙伴提供有用的信息,帮助他们在未来优化数据和技术的使用,为医疗保健带来益处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-world learnings for digital health industry-NHS collaboration: Life sciences vision in action.

Several publications have indicated potential benefit from collaboration with industry regarding wider use of anonymised routine NHS healthcare data. However, there is limited guidance regarding exactly how such collaborations between NHS hospitals and industry partners should best be carried out, and specific issues that need to be addressed at an individual project or collaboration level to achieve desired benefit. Specifically, routine health data are complex, not collected in a format optimised for secondary use, and often require interpretation based on clinical understanding of the medical conditions or patients. In order to address these issues, a formal partnership collaboration was established between an NHS organisation (Great Ormond Street Hospital for Children) and a pharmaceutical company (Roche Products Limited), to jointly understand the problems that require solving in order to maximise such use of NHS data to support improved patient outcomes and other patient/NHS benefit in a more sustainable way. We present the learnings from the first 2 years of the 5-year collaboration addressing aspects such as complexities of NHS Electronic Patient Record (EPR), data engineering and use of modern technology to optimise such data. Plus, the development of appropriate technology and data infrastructure within the NHS to support interoperability and prepare the NHS for wider application of artificial intelligence. We also highlight the staff skills and training needed to support such systems in the NHS, governance structures and processes needed to ensure appropriate use of tools and data and how best to co-design with patients, their families, and clinical teams. It is hoped that this review may provide useful information for both healthcare organisations and industry partners working towards the future of optimal use of data and technology for healthcare benefit.

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