A self-guided and monitored innovative AI-driven parental support intervention (mobile app), for families caring for a young one that self-harms: feasibility study

一种自我指导和监控的创新型人工智能驱动的家长支持干预措施（移动应用程序），适用于照顾自残儿童的家庭：可行性研究

• 批准号: 10101171
• 金额: $ 19.14万
• 依托单位: ORYX HEALTH LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10101171
• 关键词: self; guided; monitored; innovative; AI

Alarmingly, 1 in 5 teenagers self-harm \[Monto, 2018\] and self-harm hospital admissions for children aged 8 to 17 in the UK jumped 22% in 2023\. To address the chronic shortfall in provisions for these families, Oryx Health is pioneering a product using process-based therapy for parents to address adolescent self-harm. They equip parents with the community, knowledge and skills to support their young people into and through recovery. A parents' ability to navigate their young person's emotional vulnerability, manage their own, support them to develop/maintain alternative coping strategies and positive routines is essential for their child's recovery \[Berk, 2020\]. With the average age of onset decreasing, parent-centric solutions focusing on key markers of recovery are essential to break this cycle. At present, Oryx uses a manual Process-Based approach whereby onboarding, assessment and intervention matching are human-led. This uses critical human resources from the Oryx Clinical Team which could be focused on intervention. To relieve this, Oryx is building the foundations to create a Machine Learning algorithm that can support clinically effective decision-making through the assessment and onboarding process. Specifically, they will use an automated predictive model to cluster parents and match them with the most appropriate clinical pathway for higher efficiency, scale and effectiveness. Oryx Health's method has already proven successful with 92% of onboarded parents. However, available market segments will be dramatically widened with a move from a manual onboarding and classification process to an algorithmic one. Such a process does not currently exist in the market and would result in more accurate matching, making interventions more effective, reaching and supporting a greater number of patients. The enclosed funding application is to enable Oryx to safely and robustly build this process, such that a machine learning algorithm can support in clinical decision making and1\. direct parents to the appropriate pathways,2\. comprehensively assess family's needs and3\. flag for risk This project will support Oryx in developing their product and R&D, grow to support a wide and diverse group of parents and reach milestones to help them secure future investment.

令人震惊的是，五分之一的少年自我伤害\ [蒙托，2018年\]和英国8至17岁儿童的自我伤害住院率在2023年跃升了22％。为了解决这些家庭规定的慢性短缺，Oryx Health正在使用基于过程的治疗来开创一种产品，以解决父母解决青少年的自我伤害。他们为父母提供社区，知识和技能，以支持年轻人进入和通过康复。父母能够应对年轻人的情感脆弱性，管理自己的情感脆弱性，支持他们制定/维护替代的应对策略和积极的惯例对于孩子的康复至关重要。随着发作的平均年龄降低，以父母为中心的解决方案以恢复的关键标记对于打破这一周期至关重要。目前，Oryx使用一种基于手动过程的方法，从而以人为主导的方式入职，评估和干预匹配。这使用了ORYX临床团队的关键人力资源，可以专注于干预。为了缓解这一点，Oryx正在建立基础，以创建一种机器学习算法，该算法可以通过评估和入职过程来支持临床有效的决策。具体而言，他们将使用自动预测模型将父母聚集，并与最合适的临床途径相匹配，以提高效率，规模和有效性。 Oryx Health的方法已经证明了92％的入职父母的成功。但是，通过从手动入门和分类过程到算法的市场，可用的市场细分市场将大大扩大。这种过程目前不存在于市场中，并且会导致更准确的匹配，从而使干预措施更加有效，达到和支持更多的患者。封闭的资金应用程序是使Oryx能够安全，稳健地构建此过程，以便机器学习算法可以在临床决策中支持和1 \。将父母直接走到适当的途径，2 \。全面评估家庭的需求和3 \。该项目的风险标志将支持ORYX开发其产品和研发，发展以支持各种各样的父母，并达到里程碑，以帮助他们确保未来的投资。