AI-powered predictive maintenance for people - Tracking and predicting risk of human error to improve productivity

根据建筑技能网络的报告，到2027年将需要额外的22.5万建筑工人。然而，55%的英国建筑公司表示，他们的生产力已经受到缺乏熟练员工的影响。国家统计局的数据显示，每小时的建筑产量仍处于1980年的水平。不仅需要征聘更多的工作人员，而且需要提高这些工作人员的生产力。FCLabs将带来这种生产力。我们是一家可穿戴神经科技公司，开发员工健康解决方案，跟踪和预测认知表现的波动和人为错误的风险，以CoreScore的形式提供简单，可操作的见解。CoreScore是波动的认知表现和潜在原因的预警指标，如精神和身体疲劳，睡眠不足，压力和焦虑，药物和酒精使用，脱水、营养、血糖水平（糖尿病）、冷/热压力、无聊、分心、疾病和空气质量差/有毒气体。CoreScore支持关于适当行动、干预或缓解的决策，并鼓励长期行为改变。从立即干预，如果与通常的趋势相比，员工发生事故的风险更大，到管理轮班模式和职责，以确保只有在员工处于高峰期时才能完成更危险或重要的任务，建筑公司将能够利用CoreScore指标来提高生产力，同时挽救生命并防止受伤。该项目将促进我们CoreScore发展的下一步，在现实世界的建筑环境中测试我们最新的算法，并提供数据以提高我们算法的准确性。参与其中的公司和员工将直接受益于对其员工队伍的洞察（匿名）以及如何提高生产力的建议。该项目将提高我们的潜力，使这些好处的很大一部分英国建筑业-和超越。

According to the Construction Skills Network report, an extra 225k construction workers will be needed by 2027\. However, 55% of UK construction companies say that their productivity is already suffering from a lack of skilled staff. Figures from the Office of National Statistics show that construction output per hour is still at levels that they were in 1980\. There is a necessity not only to recruit more staff but to increase the productivity of those staff. FCLabs will bring that productivity. We are a wearable neurotech company, developing a worker wellbeing solution, which tracks and predicts fluctuations in cognitive performance and risk of human error, delivering simple, actionable insights in the form of a CoreScore.The CoreScore is an indicator of both fluctuating cognitive performance and an early warning of potential underlying causes such as mental & physical fatigue, lack of sleep, stress & anxiety, drug & alcohol use, dehydration, nutrition, blood sugar levels (diabetes), cold/heat stress, boredom, distraction, illness and poor air quality/toxic gases. The CoreScore supports decisions on appropriate action, intervention or mitigation and encourages long-term behavioural change. From immediate intervention, if it becomes clear that an employee is at greater risk of an accident compared to their usual trends, to the management of shift patterns and duties to ensure more dangerous or vital tasks are only completed when employees are at their peak, construction companies will be able to leverage CoreScore metrics to increase productivity while also saving lives and preventing injuries. This project will facilitate the next step in the evolution of our CoreScore, testing our most recent algorithms in real-world construction environments and providing data to increase the accuracy of our algorithm. The companies and employees involved will get the direct benefit of insights on their workforce (anonymised) and suggestions on how to improve productivity. The project will boost our potential to bring these benefits to a large portion of the UK construction industry - and beyond.