Mental Health self-care and prevention in the workplace

心理健康每年给英国经济造成的损失超过1179亿英镑。员工缺勤率继续以每年6.2%的速度上升，其中45%归因于压力相关的缺勤。在英国，每年有四分之一的人会遇到某种心理健康问题，六分之一的人报告说在任何一周都会遇到常见的心理健康问题（如焦虑和抑郁）。心理健康现在是企业的首要任务，91%的员工认为雇主应该关心他们的心理健康。77%的企业已经在工作场所促进良好的心理健康和福祉，88%的企业希望在未来12个月内提供在线心理健康服务。HeadClear是一个工作场所心理健康和幸福平台，使用领先的人工智能技术来跟踪和监测压力水平和幸福分数。HeadClear为公司和员工提供了正确的工具，以提高生产力，减少工作压力，并使他们能够控制自己的健康和福祉。这个项目的重点是利用临床心理学和科学算法来确定员工的健康状况。这些问题集中在情感特征上，比如自我价值感、适应力、积极性和其他。然后通过我们的人工智能算法对这些问题进行组合和处理。从而为员工提供一个幸福指数。该项目将开发情感特征算法，根据框架提供详细的评分。该框架将详细列出每个要素的分数，如自我价值、适应力和其他因素。然后，员工将能够确定他们希望了解、控制和/或改进的领域。例如，韧性得分低表明应对变化可能很困难。该框架将连接到一个知识库，为员工提供有用的福利项目、信息、视频和指南。使用人工智能，这种传递机制将扩展到大型数据集，并实时产生高质量的健康建议。这种类型的过滤将把员工的分数和以前查看（和评级）的项目与类似的项目相匹配，并向员工查看的列表中提供推荐。

Mental health is costing the UK economy over £117.9bn per year. Staff absenteeism continues to rise at 6.2% per year with 45% being attributed to stress-related absence.1 in 4 people will experience a mental health problem of some kind each year and 1 in 6 people report experiencing a common mental health problems (like anxiety and depression) in any given week in the UK.Mental health is now a priority for businesses with 91% of employees believing that their employer should care about their mental health.Businesses are responding as 77% are already promoting good mental health and well-being in the workplace and 88% are expecting to provide access to online mental health in the next 12 months.HeadClear is a workplace mental health and well-being platform, using leading-edge AI technology to track and monitor stress levels and well-being scores.HeadClear equips companies and employees with the right tools to increase productivity, reduce workplace stress and empower them to take control of their own health and well-being.This project focuses on the well-being score using clinical psychology and scientific algorithms to determine an Employee's wellness. These questions are focused on emotional characteristics like self-worth, resilience, positivity and others. The questions are then combined and processed through our AI algorithm. Resulting in a well-being score provided to the employee.The project will develop emotional characteristic algorithms to provide detailed scoring against a framework. This framework will detail a score for each element such as self-worth, resilience and others.The employee will then be able to determine which areas they wish to understand, control and/or improve. For example, a low score for resilience indicates that coping with change may be difficult.The framework will connect to a knowledge base providing useful well-being items, information, videos and guides to the employee. Using AI this delivery mechanism will scale to large datasets and produce high-quality well-being recommendations in real-time. This type of filtering will match the employee's scores and previously viewed (and rated) items to similar items and make recommendations into a list viewed by the employee.