CHIMERA: Collaborative Healthcare Innovation through Mathematics, EngineeRing and AI

医院收集了丰富的生理数据，提供了有关患者健康的信息。充分利用这些数据受到其复杂性和对内部生理学和外部测量之间关系的有限机械理解的严重限制。应对这一挑战需要数学家开发新的生物力学模型、临床医生测量和解释数据以治疗患者，以及统计和计算科学家之间的多学科合作，以在模型输出和真实数据之间架起双向转换的桥梁。CHIMERA旨在促进这种合作，以产生对生理学的新理解，将生理学与实时数据联系起来的新方法，并最终将这些转化为实践，通过支持临床决策来改善患者的结局。CHIMERA将从关注医院重症监护病房中最危重的患者开始：这类患者拥有迄今为止最多的监测数据，并最有可能受益于对这些数据可以告诉我们的潜在身体状态的更好理解。英国每年约有2万名儿童和30万成年人需要重症监护。这些危重病人在床边持续监测，包括测量心率、呼吸频率、血压和其他生命体征数据。然而，这些丰富的生理数据目前并没有被用来为临床决策提供信息，临床医生只能真正使用生理学的实时快照来指导他们的决策。CHIMERA将解决这一未被满足的机会，使用单个患者的生理数据来支持临床决策，这可能会对英国乃至其他地区的患者管理产生影响。这将通过一个多学科中心实现，该中心汇集了数学、统计学、数据科学和机器学习方面的专家，拥有来自成人和儿科重症监护病房的独特、大量和丰富的数据集，通过与Great Ormond Street医院(GOSH)和伦敦大学学院医院(UCLH)的嵌入式项目伙伴关系提供。Chimera将提供新的数学框架，以通过这些项目合作伙伴基于数千名患者的数据集来学习支配生理变量之间相互依赖的生物物理关系。将通过一系列以临床为导向的多学科研讨会来实现临床效果，这些研讨会的主题是改善护理的具体机会，例如在心脏病发作或中风等不良事件之前识别病情恶化的患者，或诊断败血症的预警系统。这些研讨会将包括与艾伦·图灵研究所(国家人工智能和数据科学中心)合作，将向国家开放参与，并将提供一种机制，通过为新的跨学科团队和伙伴关系提供种子玉米资金、博士生和研究人员资源，为新项目提供资金。Chimera将与英国和国际上的临床中心、公司和学术单位建立新的联系，扩大与各种患者监测数据的合作，并为培育新项目、资助投标和合作提供专门支持。通过这种方式，我们将把Chimera建设成一个自给自足、多学科和充满活力的中心，将数学和数据科学工具应用于患者护理。

Hospitals collect a wealth of physiological data that provide information on patient health. Full use of this data is significantly limited by its complexity and by a limited mechanistic understanding of the relationship between internal physiology and external measurement. Addressing this challenge requires multidisciplinary collaboration between mathematicians developing new biomechanical models, clinicians who measure and interpret the data to treat patients, and statistical and computational scientists to bridge the two-way translation between model output and real-life data. CHIMERA is designed to foster such collaboration to generate new understanding of physiology, new methods for relating physiology to real time data, and, finally, to translate these into practice, improving outcomes for patients by supporting clinical decision making.CHIMERA will start by focusing on the most critically ill patients within hospital intensive care units: such patients have by far the most monitoring data and are most likely to benefit from improved understanding of what that data can tell us about their underlying physical state. Each year about 20,000 children and 300,000 adults in the UK need intensive care. These critically ill patients are continuously monitored at the bedside, including measurements of heart rate, breathing rate, blood pressure and other vital sign data. However, the wealth of these physiological data are not currently used to inform clinical decision making and clinicians can only really use real-time snapshots of the physiology to guide their decisions.CHIMERA will address this unmet opportunity to use individual patient physiological data to support clinical decision making, with the potential to impact on patient management across the UK and beyond. This will be achieved through a multidisciplinary Hub which brings together experts in mathematics, statistics, data science and machine learning, with unique, high volume and rich data sets from both adult and paediatric Intensive Care Units provided through embedded Project Partnerships with Great Ormond Street Hospital (GOSH) and University College London Hospital (UCLH). CHIMERA will deliver new mathematical frameworks to learn the biophysical relationships that govern the interdependencies between physiological variables, based on data sets for thousands of patients through these project partners. Clinical impact will be achieved through an extensive series of clinically-led, multidisciplinary workshops themed around specific opportunities to improve care, for example identifying deteriorating patients in advance of an adverse event such as heart attack or stroke, or advance warning systems to diagnose sepsis. These workshops will include partnering with the Alan Turing Institute (the national centre for AI and Data Science), will be open to national participation, and will provide a mechanism to fund new projects by making available seed corn funding, PhD studentships and researcher resource for new interdisciplinary teams and partnerships. CHIMERA will build new links with clinical centres, companies and academic units across the UK and internationally, expand to work with a variety of patient monitoring data, and provide dedicated support to nurture new projects, funding bids and collaborations. In this way, we will build CHIMERA to a self-sustaining, multidisciplinary and vibrant Centre for the application of mathematical and data sciences tools in patient care.