Bringing Healthcare Data to Life
Bringing Healthcare Data to Life
批准号:
EP/S010238/2
负责人:
Robert Laramee
金额:
$34.3万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --
中文摘要
我们的目标是使丰富而复杂的人口健康数据历史从字面上可见,以便进行数字探索、分析、比较、决策和展示。这意味着开发新的视觉分析、可视化方法和开源软件,这些软件可以应用于任何总部位于英国的公共医疗数据收集:临床调试小组、NHS数据、电子健康记录(EHR)数据和地理信息。它融合了一支多学科团队,结合了卫生研究、统计、软件工程、视觉分析、可视化和工业方面的专业知识。我们生活在一个前所未有的数据收集和存储时代,存储技术的低成本和计算能力的快速增长推动了这一时代的发展。然而,我们收集和存储数据的能力远远超过了我们从中获取有用信息和知识的能力。这就是数据可视化和可视化分析所扮演的重要角色。可视化和视觉分析利用了迄今为止最强大(速度最快、信息量最大)的人类感觉--视觉系统,以便理解并获得对否则可能无法访问的数据的新的、新的见解。简而言之,数据在我们能看到的时候更有用。集体医疗数据归档和分析是英国健康国家战略的基石。因此,投入了大量的资源和投资,以确保NHS得到尽可能最好的医疗数据分析的支持。这项投资的核心是利用新的研究、技术和数据分析,这些研究、技术和数据分析与当前最先进的技术相比有了很大的变化,并告诉我们如何以最有效的方式支持NHS。支持医疗数据和分析的战略的一个重要组成部分是通过在大数据收集方面的重大协调努力,例如英格兰公共卫生、南威尔士的SAIL数据库、SAHSU和Infobase Cymru等。这些计划收集和归档的数据是海量的,并且不断增长。仅SAIL数据库就存储了价值20多年的500多万匿名患者的医疗数据,产生了数十亿份电子健康记录(EHR)。虽然数据收集过程是改善医疗保健的一个关键方面,但其他专业知识和跨学科研究对于从数据中提取有用信息、理解和做出明智的决策至关重要。该项目将开发免费、开源、新颖的视觉分析和可视化软件,以研究英国快速增长的大数据。通过开放和向医疗数据分析师展示包括EHR数据在内的英国医疗数据的庞大集合的可视化和图形化描述,一个全新的数字世界可能实现对健康的理解、探索、分析、比较和参与。这一医疗冒险与人们对改善英国集体健康的兴趣迅速上升不谋而合。观察以英国为中心的医疗数据的新的和可访问的方式将使人们能够获得新的洞察力,并促进学者和公众对英国集体健康演变的理解。随着老龄化人口的增加,以及NHS面临的照顾英国集体健康和福祉的压力越来越大,这种理解变得越来越重要。
英文摘要
Our aim is to make rich and complex histories of population healthcare data literally visible for digital exploration, analysis, comparison, decision making, and presentation. This means developing new visual analytics, visualisation methodologies and open source software which can be applied to any UK-based collection of public healthcare data: clinical commissioning groups, NHS data, Electronic Health Records (EHR) data, and geographical information. It incorporates a multi-disciplinary team combining expertise in health research, statistics, software engineering, visual analytics, visualisation, and industry.We live in a time of unprecedented data collection and storage driven by the low cost of storage technologies and rapid increases in computing power. However, our ability to collect and store data vastly exceeds our ability to derive useful information and knowledge from it. This is the vital role that data visualisation and visual analytics play. Visualisation and visual analytics exploit the most powerful (the fastest and most informative) human sense by far, the visual system, in order to understand and derive new and fresh insight into what otherwise might be inaccessible data. Simply put, data is much more useful when we can see it.Collective healthcare data archive and analysis are cornerstones of the UK's healthy nation strategy. As such, tremendous resources and investment are given to ensure that the NHS is supported by the best healthcare data analytics possible. Core to this investment is exploiting novel research, technology, and data analytics that create a step change from the current state-of-the-art and informs our understanding how to support the NHS in the most efficient ways. A vital component of the strategy to support healthcare data and analysis is through major concerted efforts in big data collection, e.g., Public Health England, the SAIL Databank in South Wales, SAHSU, and InfoBase Cymru, to name just a few.The data these initiatives collect and archive is massive and constantly growing. The SAIL database alone stores over 20 years worth of healthcare data on more five million anonymised patients resulting in billions of electronic health records (EHRs). While data collection process is a critical aspect towards improving healthcare, additional expertise and cross-disciplinary study are vital to extract useful information, understanding, and making informed decisions from the data. This project will develop free, open source, novel visual analytics and visualisation software to study the UK's rapidly increasing volume of big healthcare data. By opening up and exposing the healthcare data analysts to visual and graphical depictions of the enormous collection of the UK's healthcare data including EHR data, a whole new digital world of health understanding, exploration, analysis, comparison and engagement is possible. This healthcare adventure coincides with a rapid rise in interest to improve the collective health of the UK. New and accessible ways of observing UK-centric healthcare data will enable new insight and advance scholarly and public understanding of the evolution of the UK's collective health. Such understanding grows ever-more crucial with the rise in ageing population and increasing pressure on the NHS to take care of the UK's collective health and well-being.
期刊论文(9)
专著(0)
科研奖励(0)
会议论文
登录
查看更多内容
DOI:
10.1109/iv53921.2021.00034
发表时间:
2021
期刊:
影响因子:
--
作者:
[Liu X]
通讯作者:
Liu X
Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations.
流行病学建模的可视化:挑战,解决方案,反思和建议。
DOI:
10.1098/rsta.2021.0299
发表时间:
2022-10-03
期刊:
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
影响因子:
5
作者:
[Dykes, Jason, Abdul-Rahman, Alfie, Archambault, Daniel, Bach, Benjamin, Borgo, Rita, Chen, Min, Enright, Jessica, Fang, Hui, Firat, Elif E., Freeman, Euan, Gonen, Tuna, Harris, Claire, Jianu, Radu, John, Nigel W., Khan, Saiful, Lahiff, Andrew, Laramee, Robert S., Matthews, Louise, Mohr, Sibylle, Nguyen, Phong H., Rahat, Alma A. M., Reeve, Richard, Ritsos, Panagiotis D., Roberts, Jonathan C., Slingsby, Aidan, Swallow, Ben, Torsney-Weir, Thomas, Turkay, Cagatay, Turner, Robert, Vidal, Franck P., Wang, Qiru, Wood, Jo, Xu, Kai]
通讯作者:
Xu, Kai
DOI:
10.1108/jiuc-02-2020-0001
发表时间:
2020
期刊:
Journal of Industry-University Collaboration
影响因子:
--
作者:
[Rees D]
通讯作者:
Rees D
VIS30K: A Collection of Figures and Tables From IEEE Visualization Conference Publications.
VIS30K:IEEE 可视化会议出版物中的图表集合。
DOI:
10.1109/tvcg.2021.3054916
发表时间:
2021
期刊:
IEEE transactions on visualization and computer graphics
影响因子:
5.2
作者:
[Chen J]
通讯作者:
Chen J
DOI:
10.1016/j.epidem.2022.100569
发表时间:
2022-06
期刊:
EPIDEMICS
影响因子:
3.8
作者:
[Chen, M., Abdul-Rahman, A., Archambault, D., Dykes, J., Ritsos, P. D., Slingsby, A., Torsney-Weir, T., Turkay, C., Bach, B., Borgo, R., Brett, A., Fang, H., Jianu, R., Khan, S., Laramee, R. S., Matthews, L., Nguyen, P. H., Reeve, R., Roberts, J. C., Vidal, F. P., Wang, Q., Wood, J., Xu, K.]
通讯作者:
Xu, K.
共 9 条
Bringing Healthcare Data to Life
-
批准号:EP/S010238/1
-
项目类别:Research Grant
-
资助金额:$45.58万
-
财政年份:2019
-
负责人:Robert Laramee
-
依托单位:
Interactive, High-Dimensional Flow Visualization Using Image Space-Based Approaches
-
批准号:EP/F002335/1
-
项目类别:Research Grant
-
资助金额:$26.19万
-
财政年份:2007
-
负责人:Robert Laramee
-
依托单位:
海外基金