UpliftX a digital scalable mental health intervention AI-platform for remote group therapy with personalised client and clinician app

全世界约有1 / 5的人患有心理健康问题。即使在英国也没有足够的治疗师，在其他国家情况更糟。我们的团队开发了第一个计算机化的心理健康应用程序，该应用程序已被NICE批准用于NHS。然而，我们了解到，对大多数人来说，将人类治疗师与个人应用程序结合起来更有吸引力。我们还了解到，个性化干预（根据用户的个性、需求、偏好等）可以改善结果。最近，我们进行了研究，并在随机临床试验（RCTs）中证明，远程团体治疗可能非常具有成本效益。在UpLiftX中，我们将把一些创新（其中一些已经在随机对照试验中开发和测试）整合到一个尖端的心理健康数字平台和个性化远程团体治疗中，包括：*升级我们的数字平台AiLeap，使远程团体治疗的创建和交付成为可能，为每个参与者提供个性化的应用程序。利用人工智能/机器学习帮助治疗师和参与者/患者进行个性化治疗：* StratCare：将患者分层到最有效的组（根据需求、个性、偏好、症状）。* AiOracle：在基线上监测患者的进展和反馈，并在每次会议后为“不正常”的患者提供建议和帮助。* BioView通过分析面部变化（来自他们的电脑/移动相机的视频）来监测参与者/患者的压力和情绪状态，包括肤色变化引起的心率变异性（HRV）。它将为患者和治疗师提供反馈（例如，患者对特定刺激的反应），也可以用作生物反馈。*个性化应用程序：根据参与者/患者的需要为他们的数字应用程序添加个性化的技能实践。*使用人工智能/机器学习对所有患者数据进行分析，以找到哪种特定方法/技能实践对特定类型的患者最有帮助；并改善未来的个性化。我们将通过进行两个随机对照试验来测试/证明这一点。我们将分析第一次rct数据（约5000次）以创建个性化干预措施，并在第二次rct中进行测试。一名治疗师将能够远程同时治疗多名患者，大大提高成本效益和治疗效果。患者将在家中接受治疗。UpLiftX将吸引全球的医疗保健提供商和保险公司，降低成本和等待名单，并实现更多的治疗。UpLiftX旨在适应英国和美国现有的医疗保健服务（例如NHS，美国退伍军人事务）。它将在NHS信托机构的等待名单患者中进行测试。我们期望，借助UpLiftX，医疗服务提供者能够在拥有相同数量的治疗师的情况下，为更多的患者提供有效的治疗，并大大降低每位患者的成本。

About 1:5 worldwide suffers from mental health problems. Even in the UK there are not enough therapists, and in other countries the situation is much worse. Our team developed the first computerised mental-health application which was approved by NICE for the NHS. However, we have learnt that for most people a combination of a human therapist together with a personal app is more appealing. We've also learnt that personalised interventions (according to users' personality, needs, preferences, etc) can improve outcomes. Recently, we've researched, and proved in Randomised Clinical Trials (RCTs), that remote group therapy can be very cost-effective.In UpLiftX we'll be integrating several innovations (some, we've already developed and tested in RCTs) into a cutting-edge mental health digital platform, and personalised remote group therapy, including:* Upgrading our digital platform AiLeap, enabling creation and delivery of remote group therapy, with personalised app for each participant.Using Ai/Machine-learning to help therapists and participants/patients with personalised treatment by:* StratCare: stratifying patients to the most effective group (according to needs, personality, preference, symptoms).* AiOracle: monitoring patient progress and feedback at baseline, and following each session with recommendations and help for patients 'not-on-track'.* BioView for monitoring participants/patients' stress and emotional states by analysing facial changes (from their computer/mobile camera's video) including Heart-Rate-Variability (HRV) from changes in skin colour. It will provide feedback for both patients and therapists (e.g. how patients respond to specific stimuli) and can be used, also, as biofeedback.* Personalised App: Adding personalised skills-practises to participants/patients digital app according to their needs.* Analysis of all patients' data using Ai/Machine-learning to find what type of specific methods/skills-practises are most helpful for specific types of patients; and improve future personalisation. We'll test/demonstrate this by conducting two RCTs. We'll analyse first-RCT data (~5,000 sessions) to create personalised interventions, and test in second-RCT.One therapist will be able to treat remotely many patients in parallel, improving cost-effectiveness and outcomes many times over. Patients will receive treatments at home. UpLiftX will be attractive to healthcare providers and insurers worldwide, reducing costs and waiting lists, and enabling more treatments.UpLiftX is designed to fit into existing healthcare services in the UK and USA (e.g. NHS, USA Veteran Affairs) . It'll be tested within an NHS Trust settings with waiting list patients. We expect that UpLiftX will enable healthcare providers to deliver effective therapy to many more patients with the same number of therapists, and much-reduced cost-per-patient.