4D PICTURE: Design-based Data-Driven Decision-support Tools: Producing Improved Cancer Outcomes Through User- Centred Research

4D 图片：基于设计的数据驱动决策支持工具：通过以用户为中心的研究改善癌症结果

• 批准号: 10041120
• 金额: $ 105.56万
• 依托单位: LANCASTER UNIVERSITY
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10041120
• 关键词: 4D; PICTURE; Design; based; Data

Patients with cancer often have to make complex decisions about treatment, with the options varying in risk profiles and effects on survival and quality of life. Data-driven decision-support tools (DSTs) have the potential to empower patients, support personalized care, improve health outcomes, and promote health equity (optimal decisions also for underserved groups). However, DSTs currently seldom consider quality of life or individual preferences, and their use in clinical practice remains limited. To address these challenges, the 4D PICTURE consortium will further develop a promising methodology, MetroMapping, to redesign care paths that include novel DSTs. We will better predict treatment outcomes by developing innovative algorithms and incorporating patient experiences, values and preferences, using AI-based models. In co-creation with patients and other stakeholders, we will develop data-driven DSTs for patients with breast cancer, prostate cancer and melanoma. We will evaluate these DSTs as part of MetroMapping as well as stand-alone, to ensure their sustainability as well as addressing social and ethical issues. We will explore the generalizability of MetroMapping and the DSTs to other types of cancer and across other EU member states. Improved care paths integrating comprehensive DSTs will empower patients, their significant others and health care providers in decision making, and strengthen care at the system level by improving resilience and efficiency. Whereas the 4D PICTURE consortium includes leaders in modelling, AI, decision making, citizen science, service design, ethics, risk communication, and policy making, this project will impact clinical practice and science across Europe and beyond.

癌症患者往往不得不做出复杂的治疗决定，选择的风险状况以及对生存和生活质量的影响各不相同。数据驱动的决策支持工具（DST）有可能增强患者的能力，支持个性化护理，改善健康结果，促进健康公平（对服务不足的群体也是最佳决策）。然而，DST目前很少考虑生活质量或个人偏好，其在临床实践中的应用仍然有限。为了应对这些挑战，4D PICTURE联盟将进一步开发一种有前途的方法，MetroMapping，以重新设计包括新型DST在内的护理路径。我们将通过开发创新算法，并使用基于AI的模型，结合患者的经验，价值观和偏好，更好地预测治疗结果。在与患者和其他利益相关者的共同创造中，我们将为乳腺癌、前列腺癌和黑色素瘤患者开发数据驱动的DST。我们将评估这些DST作为MetroMapping的一部分以及独立的，以确保其可持续性以及解决社会和道德问题。我们将探索MetroMapping和DST对其他类型癌症和其他欧盟成员国的普遍性。整合综合DST的改善护理路径将使患者、其重要他人和医疗保健提供者能够做出决策，并通过提高弹性和效率来加强系统层面的护理。鉴于4D PICTURE联盟包括建模，人工智能，决策，公民科学，服务设计，道德，风险沟通和政策制定方面的领导者，该项目将影响整个欧洲及其他地区的临床实践和科学。