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USING DATA ANALYTICS TO EXPLORE THE CONNECTION AND IMPACT OF SOCIAL SCIENCE AND ECONOMICS IN THE WORLD OF HEALTHCARE

利用数据分析探索社会科学和经济学在医疗保健领域的联系和影响

基本信息

批准号：
1902163
负责人：
金额：
--
依托单位：
University of Manchester
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2017
资助国家：
英国
起止时间：
2017 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=studentship-1902163
关键词：
USING DATA ANALYTICS EXPLORE CONNECTION

项目摘要

The goal of this project is to connect social science with economics to make healthcare as effective, safe, patient-centred, and cost-efficient as possible. This project extends previous research and domains, such as traditional healthcare informatics and economics, by investigating the combination of these aspects rather than examining them isolated from each other. To reach the goal of the project, a range of data analytics techniques will be explored to first link clinical, cost and care data, then understand the driving factors from both successful and unsuccessful scenarios, and finally build a robust decision tool to assist the delivery of efficient and effective high-quality care. This project will consider the field around burn injury care as a base case to explore the connection and impact of social science and economics in the world of healthcare. This choice is motivated by several factors including the nature of burns injuries - burns care affects patients across all age groups from different social classes - and access to a comprehensive patient and cost database (the project will have access to the most comprehensive collection of clinical and economics data concerning burn injury covering England and Wales admissions to NHS-specialised burn care services). Connecting these two databases in a meaningful way will be the first milestone of the project. Following this, the next step will be to augment the database with information about care pathways for burns injury patients and social class indicators. This comprehensive database will serve as a solid foundation to explore key drivers, and relationships and patterns in the data using a range of data analytics techniques. The stakeholders involved in this project (academia, industry, and government) are keen to answer a number of questions including:What are the key drivers when predicting burns mortality and how accurately can we predict mortality?What can we learn about decisions made in the past decade (this is the timespan of our clinical data) in terms of the success rate of care pathways and evolution of costs?What is the relationship between a successful patients care path and the associated costs?How do the social characteristics - such as social class of - a patient mediate the quality of care received?Can we divide patients into cost and/or social groups to enable robust cost predictions?Can we suggest personalized care pathways that are more effective and cost-efficient, and safer than the pathways implemented by the government at the moment?How can we make use of the knowledge gained in this study to develop a practical decision tool to assist the delivery of patient centred and cost efficient care?The findings of this project will have an impact across the domains of science (novel insights and data analytics models for characterising and predicting efficient care pathways, mortality of burns injury patients, patient groups in terms of costs levels), industry (a practical decision tool to facilitate the implementation of more efficient delivery of care of burns injury patients), and government (novel insights into key drivers for successful care pathways and an improved strategy for cost grouping of patients to support the NHS in the commissioning and remuneration of burn services based on patient-level costing). The findings will also serve as the foundation and inspiration for future data analytics studies linking the healthcare sector with social science.

该项目的目标是将社会科学与经济学联系起来，使医疗保健尽可能有效、安全、以患者为中心并具有成本效益。这个项目扩展了以前的研究和领域，例如传统的医疗保健信息学和经济学，通过调查这些方面的组合而不是相互孤立地检查它们。为了实现该项目的目标，将探索一系列数据分析技术，首先将临床、成本和护理数据联系起来，然后了解成功和失败情景的驱动因素，最后构建强大的决策工具，以帮助提供高效和有效的高质量护理。这个项目将以烧伤护理领域为基本案例，探索社会科学和经济学在医疗保健领域的联系和影响。这一选择的动机是几个因素，包括烧伤伤害的性质-烧伤护理影响来自不同社会阶层的所有年龄组的患者-以及访问全面的患者和费用数据库(该项目将获得关于烧伤的最全面的临床和经济学数据集合，包括英格兰和威尔士进入NHS专门烧伤护理服务的情况)。以有意义的方式连接这两个数据库将是该项目的第一个里程碑。在此之后，下一步将是用烧伤受伤患者的护理路径和社会阶层指标的信息来扩充数据库。这个全面的数据库将作为使用一系列数据分析技术探索数据中的关键驱动因素、关系和模式的坚实基础。参与该项目的利益相关者(学术界、工业界、和政府)热衷于回答一些问题，包括：预测烧伤死亡率的关键驱动因素是什么，以及我们如何准确地预测死亡率？关于护理路径的成功率和成本的演变，我们可以从过去十年(这是我们的临床数据的时间跨度)所做的决策中了解到什么？成功的患者护理路径与相关成本之间是什么关系？患者的社会特征--比如患者的社会阶层--如何调节接受的护理质量？我们能否将患者分为成本和/或社会群体，以实现可靠的成本预测？建议更有效、更具成本效益的个性化护理路径，而且比目前政府实施的路径更安全？我们如何利用从这项研究中获得的知识来开发一种实用的决策工具，以帮助提供以患者为中心和具有成本效益的护理？该项目的发现将产生跨科学领域的影响(新的见解和数据分析模型，用于表征和预测有效的护理路径、烧伤伤害患者的死亡率、根据成本水平的患者群体)、行业(一种实用的决策工具，以促进实施更有效的烧伤伤害患者护理)，和政府(对成功护理路径的关键驱动因素的新见解，以及改进的患者成本分组战略，以支持NHS基于患者一级成本计算的烧伤服务的委托和报酬)。这些发现也将成为未来将医疗保健部门与社会科学联系起来的数据分析研究的基础和灵感。