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

癌症患者通常必须对治疗做出复杂的决定，选择的风险概况和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（DSTs）具有增强患者权能、支持个性化护理、改善健康结果和促进健康公平的潜力（对于服务不足的群体也是最佳决策）。然而，DSTs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，结合患者经验、价值观和偏好，使用基于人工智能的模型，更好地预测治疗结果。在与患者和其他利益相关者共同创造的过程中，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DSTs。我们会评估这些污水处理厂，以确保其可持续性，以及处理社会和道德问题。我们将探索MetroMapping和DSTs在其他类型癌症和其他欧盟成员国的推广。改进的护理路径整合了全面的发展和服务sts，将增强患者、其重要他人和卫生保健提供者的决策能力，并通过提高复原力和效率加强系统层面的护理。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。

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.