EPSRC - NIHR HTC Partnership Award: Partnership with the MindTech HTC

这是一项工程和物理科学（EPS）研究人员与MindTech医疗保健技术合作组织之间的合作建议，这些研究人员最初来自曼彻斯特大学、诺丁汉大学、谢菲尔德大学、兰开斯特大学和约克大学。其目的是探索技术的潜力，以改变精神健康状况的管理和治疗，确定基础EPS研究挑战，并共同努力解决这些问题。心理健康已占国民保健服务预算的13%（在所有疾病领域中所占比例最高，而且还在迅速增长），是生活质量下降的一个主要原因。大多数护理是在社区进行的，但大部分费用与由于护理不足/无效而导致的计划外住院有关。技术在改变社区护理方面有着巨大的潜力——改善诊断/分层、支持自我护理、更有效地让家人和朋友参与，以及为医疗保健专业人员提供及时的提示和警报。然而，如果要实现这一潜力，在传感系统、信息管理、数据分析和人机交互方面，有重大的EPS挑战需要解决。我们提出的模型旨在建立一个由EPS研究人员和用户组成的综合社区，他们将共同制定基于明确临床需求的EPS研究议程，并根据患者/护理人员、医疗保健委托/提供者组织、医疗保健专业人员和行业（包括技术和医疗保健，从中小企业到大型跨国公司）的观点、经验和需求提供信息。该合作伙伴关系将重点关注具有重大社会重要性的四个广泛临床领域，与MindTech HTC议程保持一致：严重精神疾病，情绪和情感障碍，痴呆和发育障碍-每个领域都有临床领导-利用诺丁汉（MindTech HTC）和曼彻斯特的精神卫生专业知识。我们目前确定了四个具有挑战性的EPS研究领域，这些领域需要支持有效的精神健康状况自我护理管理技术的发展：用于获取丰富的“实时”纵向数据的传感系统（新的传感技术，传感器系统）；增量集成和链接异构信息和数据的信息管理方法（集成和链接来自不同来源的数据，信息表示）；用于提取预测结果模型的数据分析，特别是从时间数据（纵向数据建模，时间模型群体建模，图像计算）和用于管理自我保健设置的人机交互方法（协作决策支持）。

This is a proposal for a partnership between engineering and physical science (EPS) researchers - initially in the Universities of Manchester, Nottingham, Sheffield, Lancaster and York - and the MindTech Healthcare Technology Cooperative. The aim is to explore the potential for technology to transform the management and treatment of mental health conditions, identifying underpinning EPS research challenges, and working together to address them. Mental health already accounts for 13% of the NHS budget (the highest proportion for any disease area, and growing rapidly) and is a major cause of reduced quality of life. Most care is in the community, but most of the cost is associated with unplanned hospital admissions resulting from inadequate/ineffective care. There is great potential for technology to transform care in the community - improving diagnosis/stratification, supporting self-care, involving family and friends more effectively, and providing timely prompts and alerts for healthcare professionals. If this potential is to be realised, there are, however, significant EPS challenges to be addressed - in sensing systems, information management, data analytics and human-computer interaction.The model we propose aims to build an integrated community of EPS researchers and users, who will co-develop an EPS research agenda grounded in a clear clinical need, informed by the perspectives, experiences and needs of patients/carers, healthcare commissioning/provider organisations, healthcare professionals and industry (both technology and healthcare, ranging from SMEs to large multinational companies). The partnership will focus on four broad clinical areas of major societal importance, aligned with the MindTech HTC agenda: serious mental illness, mood and affective disorder, dementia, and developmental disorders - each with clinical leadership - drawing on mental health expertise in both Nottingham (the MindTech HTC) and Manchester.We currently identify four areas of challenging EPS research required to underpin the development of effective technologies for managed self-care of mental health conditions: sensing systems for acquiring rich, 'real-time' longitudinal data (new sensing technologies, sensor systems); information management methods for incrementally integrating and linking heterogeneous information and data (integrating and linking data from different sources, information representation); data analytics for extracting predictive outcome models, particularly from temporal data (modelling longitudinal data, modelling populations of temporal models, image computing; and human-computer interaction methods for the managed self-care setting (collaborative decision-support).