CONSULT: Collaborative Mobile Decision Support for Managing Multiple Morbidities

咨询:用于管理多种疾病的协作移动决策支持

基本信息

  • 批准号:
    EP/P010105/2
  • 负责人:
  • 金额:
    $ 36.3万
  • 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
  • 起止时间:
    2020 至 无数据
  • 项目状态:
    已结题

项目摘要

The provision of healthcare to people with long-term conditions is a growing challenge, which is particularly acute for the growing proportion of the UK population that suffers from multiple morbidities.Research has established that involving patients in the management of their own disease has long-term health benefits. Advances in wireless sensor technology means that it is practical for patients to monitor a wide range of health and wellness data at home, including blood pressure, heart function and glucose levels, without direct supervision by medical personnel. The advent of smart phone technologies, appearing widely throughout the nation's population, enables the exciting possibility of putting state-of-the-art intelligent decision-support systems into the hands of the general public.However, such sensor data is currently disconnected both from the patient context, provided by the Electronic Health Record, and from the treatment plan, based on current best-evidence guidelines and customised by the patient's GP. In cases of multi-morbidities, there is no clear strategy for combining multiple guidelines into a coherent whole. Furthermore, personalised treatment plans are rigid and do not dynamically adapt to changes in a patient's circumstances. Finally, the record of patient condition and decisions made is not routinely captured in a standardised way, preventing learning from feedback about treatment effectiveness. To address these problems, CONSULT will combine wireless "wellness" sensors with intelligent software running on mobile devices, to support patient decision making, and thus actively engage patients in managing their healthcare. Our software will use computational argumentation to help patients follow treatment guidelines and will learn details specific to individuals, personalising treatment advice within medically sound limits. Critically, the software will detect conflicts in treatment guidelines that frequently arise in the management of multiple morbidities. The software will provide advice regarding which treatment options to follow, when the conflicts can be resolved by the patient and when a resolution requires an intervention from a clinician. The software will thus help patients handle routine maintenance of their conditions, while ensuring that medical professionals are consulted when appropriate. This will enable patients to take charge of their own conditions, while being fully supported in both traditional and new ways. By routinely capturing the data provenance of the recommendations made, actions taken and the resulting patient progress, the software will provide valuable insights into the effectiveness of treatments and underlying guidelines in multi-morbidity scenarios.The technology will be evaluated across multiple dimensions in a proof-of-concept study, engaging stroke patients, their carers and medical professionals, while capitalising on King's College London's world-leading position in stroke research and its established patient groups, particularly those connected to the South London Stroke Register programme.Helping patients to govern their own care will reduce the demands made on medical professionals, while reaping the health benefits of self-management. Integrating live information from monitoring devices will make it possible to distinguish between situations that need attention from medical professionals, and those that do not, reducing the number of extra appointments that patients and doctors need to schedule. Using live information will also make it possible to detect changes in the course of a disease, allowing pre-emptive actions to be taken, and thus reducing the amount of time that someone suffering from a long-term condition may have to spend in hospital. Overall, our approach will not only provide more efficient care, but also allow care to be better tailored to the needs of each individual.
向患有长期疾病的人提供医疗保健是一项日益严峻的挑战,对于患有多种疾病的英国人口比例日益增长来说,这一挑战尤其严峻。研究已经证实,让病人参与到自己疾病的管理中来,对健康有长期的好处。无线传感器技术的进步意味着患者可以在家中监测各种健康和保健数据,包括血压、心脏功能和血糖水平,而无需医务人员的直接监督。智能电话技术的出现,在全国人口中广泛出现,使最先进的智能决策支持系统进入公众手中成为令人兴奋的可能性。然而,这些传感器数据目前既与电子健康记录提供的患者背景脱节,也与基于当前最佳证据指南和患者全科医生定制的治疗计划脱节。在多种疾病的情况下,没有明确的策略将多种指南结合成一个连贯的整体。此外,个性化治疗计划是僵化的,不能动态适应患者情况的变化。最后,患者病情和决策的记录没有以标准化的方式进行常规记录,从而阻碍了从有关治疗效果的反馈中学习。为了解决这些问题,CONSULT将无线“健康”传感器与运行在移动设备上的智能软件相结合,以支持患者的决策,从而使患者积极参与管理他们的医疗保健。我们的软件将使用计算论证来帮助患者遵循治疗指南,并将学习具体的个人细节,在医学合理的范围内提供个性化的治疗建议。至关重要的是,该软件将检测出在多种疾病管理中经常出现的治疗指南中的冲突。该软件将提供有关哪些治疗方案可以遵循的建议,何时冲突可以由患者解决,何时解决需要临床医生的干预。因此,该软件将帮助患者处理日常维护他们的条件,同时确保在适当的时候咨询医疗专业人员。这将使患者能够对自己的病情负责,同时得到传统和新方式的充分支持。通过常规获取所提出的建议、所采取的行动和由此产生的患者进展的数据来源,该软件将为治疗的有效性和多发病情况的基本指南提供有价值的见解。这项技术将在概念验证研究中进行多维度评估,让中风患者、他们的护理人员和医疗专业人员参与其中,同时利用伦敦国王学院在中风研究方面的世界领先地位及其已建立的患者群体,特别是与南伦敦中风登记项目相关的患者群体。帮助患者管理自己的护理将减少对医疗专业人员的需求,同时获得自我管理的健康益处。整合来自监控设备的实时信息将使区分需要医疗专业人员关注和不需要关注的情况成为可能,从而减少患者和医生需要安排的额外预约次数。使用实时信息还可以发现疾病过程中的变化,从而可以采取先发制人的行动,从而减少患有长期疾病的人可能不得不在医院度过的时间。总的来说,我们的方法不仅可以提供更有效的护理,还可以根据每个人的需要更好地进行护理。

项目成果

期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A Model to Support Collective Reasoning: Formalization, Analysis and Computational Assessment
支持集体推理的模型:形式化、分析和计算评估
JOINT ATTACKS AND ACCRUAL IN ARGUMENTATION FRAMEWORKS
论证框架中的联合攻击和权责发生制
EQRbot: A chatbot delivering EQR argument-based explanations.
  • DOI:
    10.3389/frai.2023.1045614
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    4
  • 作者:
    Castagna, Federico;Garton, Alexandra;McBurney, Peter;Parsons, Simon;Sassoon, Isabel;Sklar, Elizabeth I.
  • 通讯作者:
    Sklar, Elizabeth I.
Applying Metalevel Argumentation Frameworks to Support Medical Decision Making
  • DOI:
    10.1109/mis.2021.3051420
  • 发表时间:
    2021-03-01
  • 期刊:
  • 影响因子:
    6.4
  • 作者:
    Kokciyan, Nadin;Sassoon, Isabel;Parsons, Simon
  • 通讯作者:
    Parsons, Simon
Handbook of Formal Argumentation
形式论证手册
  • DOI:
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Black E
  • 通讯作者:
    Black E
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Simon Parsons其他文献

Change in Haloacetic Acid Formation Potential during UV and UV/H2O2 Treatment of Model Organic Compounds
模型有机化合物在 UV 和 UV/H2O2 处理过程中卤乙酸形成电位的变化
  • DOI:
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Hiroshi Sakai;Olivier Autin;Simon Parsons
  • 通讯作者:
    Simon Parsons
High-pressure polymorphism of cyclopentanol (C5H10O): the structure of cyclopentanol phase-V at 1.5 GPa.
环戊醇(C5H10O)的高压多晶型:1.5 GPa 下环戊醇 V 相的结构。
  • DOI:
    10.1107/s0909049505021461
  • 发表时间:
    2005
  • 期刊:
  • 影响因子:
    2.5
  • 作者:
    S. Moggach;David R. Allan;P. Lozano;Simon Parsons
  • 通讯作者:
    Simon Parsons
スペシャルセッション・災害時交通マネジメント-公共交通の観点から-
特别会议:灾害期间的交通管理——从公共交通的角度——
  • DOI:
  • 发表时间:
    2011
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Hiroshi Sakai;Olivier Autin;Simon Parsons;室井寿明;室井寿明;室井寿明
  • 通讯作者:
    室井寿明
Effect of pressure on the crystal structure of alpha-glycylglycine to 4.7 GPa; application of Hirshfeld surfaces to analyse contacts on increasing pressure.
4.7 GPa压力对α-甘氨酰甘氨酸晶体结构的影响;
Liver cell transplantation as a “bridge” therapy for urea cycle disorders: The Calgary experience
  • DOI:
    10.1016/j.clinbiochem.2014.07.078
  • 发表时间:
    2014-10-01
  • 期刊:
  • 影响因子:
  • 作者:
    Aneal Khan;Steven R. Martin;Mary Brindle;Simon Parsons;Seemab Haider;Nicole Prokopishyn;Jason Yap
  • 通讯作者:
    Jason Yap

Simon Parsons的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Simon Parsons', 18)}}的其他基金

An X-ray Diffractometer for Extreme Conditions Research
用于极端条件研究的 X 射线衍射仪
  • 批准号:
    EP/R042845/1
  • 财政年份:
    2018
  • 资助金额:
    $ 36.3万
  • 项目类别:
    Research Grant
CONSULT: Collaborative Mobile Decision Support for Managing Multiple Morbidities
咨询:用于管理多种疾病的协作移动决策支持
  • 批准号:
    EP/P010105/1
  • 财政年份:
    2017
  • 资助金额:
    $ 36.3万
  • 项目类别:
    Research Grant
FORTRESS: F block cOvalency and Reactivity defined by sTructural compRESSibility
FORTRESS:由结构压缩性定义的 F 嵌段价和反应性
  • 批准号:
    EP/N022122/1
  • 财政年份:
    2016
  • 资助金额:
    $ 36.3万
  • 项目类别:
    Research Grant
Pressure-Tuning Interactions in Molecule-Based Magnets
分子磁体中的压力调节相互作用
  • 批准号:
    EP/K033646/1
  • 财政年份:
    2014
  • 资助金额:
    $ 36.3万
  • 项目类别:
    Research Grant
TC: Small: Collaborative Research: An Argumentation-based Framework for Security Management
TC:小型:协作研究:基于论证的安全管理框架
  • 批准号:
    1117761
  • 财政年份:
    2011
  • 资助金额:
    $ 36.3万
  • 项目类别:
    Standard Grant
Pressure-sensitive complex formation based on self-assembling ligands
基于自组装配体的压敏复合物形成
  • 批准号:
    EP/G015333/1
  • 财政年份:
    2009
  • 资助金额:
    $ 36.3万
  • 项目类别:
    Research Grant
Industrial Doctorate Centre: Skills Technology, Research, and Management (STREAM) for the UK Water Sector
工业博士中心:英国水务部门的技能技术、研究和管理 (STREAM)
  • 批准号:
    EP/G037094/1
  • 财政年份:
    2009
  • 资助金额:
    $ 36.3万
  • 项目类别:
    Training Grant
The Effect of High Pressure on Single Molecule Magnets
高压对单分子磁体的影响
  • 批准号:
    EP/D503744/1
  • 财政年份:
    2006
  • 资助金额:
    $ 36.3万
  • 项目类别:
    Research Grant
MRI: Acquisition of Bipedal Robot Facility to Support Research into Improvement of Orientation and Stability of Locomotion
MRI:收购双足机器人设施以支持改善运动方向和稳定性的研究
  • 批准号:
    0520989
  • 财政年份:
    2005
  • 资助金额:
    $ 36.3万
  • 项目类别:
    Standard Grant
Tools and techniques for automated mechanism design
自动化机构设计的工具和技术
  • 批准号:
    0329037
  • 财政年份:
    2003
  • 资助金额:
    $ 36.3万
  • 项目类别:
    Continuing Grant

相似海外基金

Collaborative Research: IMR: MM-1B: Privacy-Preserving Data Sharing for Mobile Internet Measurement and Traffic Analytics
合作研究:IMR:MM-1B:移动互联网测量和流量分析的隐私保护数据共享
  • 批准号:
    2319486
  • 财政年份:
    2023
  • 资助金额:
    $ 36.3万
  • 项目类别:
    Continuing Grant
Collaborative Research: Self-powered Electrochemical Actuators toward Untethered Soft Mobile Robots
合作研究:用于无束缚软移动机器人的自供电电化学执行器
  • 批准号:
    2329674
  • 财政年份:
    2023
  • 资助金额:
    $ 36.3万
  • 项目类别:
    Standard Grant
Collaborative Research: Self-powered Electrochemical Actuators toward Untethered Soft Mobile Robots
合作研究:用于无束缚软移动机器人的自供电电化学执行器
  • 批准号:
    2329675
  • 财政年份:
    2023
  • 资助金额:
    $ 36.3万
  • 项目类别:
    Standard Grant
Collaborative Research: EAGER: Towards Safeguarding the Emerging Miniapp Paradigm in Mobile Super Apps
合作研究:EAGER:捍卫移动超级应用中新兴的小应用范式
  • 批准号:
    2330265
  • 财政年份:
    2023
  • 资助金额:
    $ 36.3万
  • 项目类别:
    Standard Grant
Collaborative Research: SaTC: CORE: Medium: An Anti-tracking and Robocall-free Architecture for Next-G Mobile Networks
协作研究:SaTC:CORE:Medium:下一代移动网络的防跟踪和无 Robocall 架构
  • 批准号:
    2247560
  • 财政年份:
    2023
  • 资助金额:
    $ 36.3万
  • 项目类别:
    Standard Grant
A Stepped-Care Approach to Treating Dental Fear: A Sequential, Multiple Assignment, Randomized Trial For Cognitive-Behavioral Treatment via Mobile App and Evidence-Based Collaborative Care
治疗牙科恐惧症的阶梯式护理方法:通过移动应用程序和循证协作护理进行认知行为治疗的序贯、多重分配、随机试验
  • 批准号:
    10729822
  • 财政年份:
    2023
  • 资助金额:
    $ 36.3万
  • 项目类别:
Collaborative Research: IMR: MM-1B: Privacy-Preserving Data Sharing for Mobile Internet Measurement and Traffic Analytics
合作研究:IMR:MM-1B:移动互联网测量和流量分析的隐私保护数据共享
  • 批准号:
    2344341
  • 财政年份:
    2023
  • 资助金额:
    $ 36.3万
  • 项目类别:
    Continuing Grant
Collaborative Research: CCRI: New: CoMIC: A Collaborative Mobile Immersive Computing Research Infrastructure for Multi-user XR
协作研究:CCRI:新:CoMIC:用于多用户 XR 的协作移动沉浸式计算研究基础设施
  • 批准号:
    2235050
  • 财政年份:
    2023
  • 资助金额:
    $ 36.3万
  • 项目类别:
    Standard Grant
Collaborative Research: IMR: MM-1B: Privacy-Preserving Data Sharing for Mobile Internet Measurement and Traffic Analytics
合作研究:IMR:MM-1B:移动互联网测量和流量分析的隐私保护数据共享
  • 批准号:
    2319488
  • 财政年份:
    2023
  • 资助金额:
    $ 36.3万
  • 项目类别:
    Continuing Grant
Collaborative Research: SaTC: CORE: Medium: An Anti-tracking and Robocall-free Architecture for Next-G Mobile Networks
协作研究:SaTC:CORE:Medium:下一代移动网络的防跟踪和无 Robocall 架构
  • 批准号:
    2247562
  • 财政年份:
    2023
  • 资助金额:
    $ 36.3万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了