Syndi – An integrated digital health platform to enhance self-management of mental health conditions improving the personalisation of care, health outcomes and accessibility.

精神疾病是英国残疾的主要原因，每年有1/4的成年人经历精神健康问题（NHS-英格兰）。尽管NHS在2021年的年度支出超过141亿英镑，但对支持的需求远远超过供应。国民保健服务的平均等待时间，例如，通过心理治疗咨询方案的等待时间超过18周，在某些情况下，在治疗开始前，根据地区的不同，等待时间长达12个月。这导致许多患者只能独自应对焦虑和抑郁等疾病，通常会造成严重的身体/心理后果（2/3的患者在等待期间出现严重恶化）。目前有160万患者正在等待通过IAPT进行治疗（70%的可诊断精神疾病患者最终没有接受任何治疗），NHS立即将重点放在使用数字技术来缩小“心理健康服务的历史性治疗差距”上。然而，随着数以万计的移动的健康工具（健康应用程序、远程医疗服务和数字治疗）的出现，选择那些具有足够证据基础的安全性和有效性并确定最适合个人的工具是一项重大挑战。Syndi平台结合了人工智能和数据科学的使用创新，旨在解决数字心理健康服务中的挑战。它独特地指导用户通过临床验证的诊断过程进行心理健康评估，并使用机器学习，它独特地推荐经过验证的心理健康工具，并针对个别患者及其病情提供支持。概念和设计完全以用户为导向，注册的应用程序经过One Mind Psyber Guide验证（mhealth应用程序审查组织）和涵盖一系列条件-每一个早期干预和显着改善自我管理。在普利茅斯大学，康沃尔NHS信托合作，并与创新英国的支持，该项目旨在更好地评估Syndi对用户的心理健康结果的影响，探索病历整合的潜力，帮助进一步完善基于CRM的推荐系统，并确定优化的行为参与方法。如果成功，该解决方案将为改善英国1000多万名在当前护理途径内外患有精神健康状况的成年人提供重要价值，改善获得支持的机会，增加参与度和健康结果。儿童心理健康的未来潜力，等待时间远远超过成人服务以及更广泛的条件。

Mental illness is the leading cause of disability in the UK with 1/4 adults experiencing a mental health problem each year (NHS-England). Despite an NHS annual spend in excess of £14.1Bn in 2021, demand for support significantly outstrips supply. Average NHS wait times for example through the Improving-Access-to-Psychological-Therapy (IAPT) programme exceed 18-weeks and, in some cases, up to 12-months depending on region before the start of therapy. This results in many patients being left to tackle conditions such as anxiety and depression alone, often with significant physical/psychological consequences (2/3rds seeing a significant deterioration while waiting). With 1.6M patients currently waiting for treatment through IAPT (70% of people with a diagnosable mental illness in the end receiving no treatment at all), the NHS has placed immediate focus on the use of digital technology to close the "historic treatment gap in mental health provision". However, with tens of thousands of mobile health tools (wellbeing apps, telemedicine services and digital therapeutics) available, selecting those with sufficient evidence base of safety, and effectiveness and identifying the most appropriate for that individual, represents a significant challenge.Combining innovations in the use of AI and data science, the Syndi platform has been designed to address challenges in digital mental health services. It uniquely guides users through clinically-validated diagnostic processes for mental health assessment and using machine learning, it uniquely recommends validated mental health tools and support specific to the individual patient and their condition. The concept and design are fully user-driven, with the registered apps validated by One Mind Psyber Guide (mhealth app review organisation) and covering a range of conditions - each for earlier intervention and significantly improved self-management.In collaboration with the University of Plymouth, Cornwall NHS Trust, and with Innovate UK support, this project aims to better evaluate the impact of Syndi on users' mental health outcomes, explore the potential for patient record integration helping further refine the Algorithm-based recommender systems and identify optimised methodologies for behavioural engagement. If successful, the solution offers significant value in improving the support available to 10M+ adults in the UK suffering with a mental health condition both within and outside of the current care pathway, improving access to support, increased engagement and health outcomes. Future potential in Child mental health where wait times far exceed adult services as well as across wider conditions.