AI and predictive health analytics to identify the underlying causes of mental and physical illness
AI and predictive health analytics to identify the underlying causes of mental and physical illness
批准号:
133069
负责人:
金额:
$6.45万
依托单位:
依托单位国家:
英国
项目类别:
Feasibility Studies
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --
中文摘要
在职业健康方面,最近的重点已从工作场所的身体危害转向心理社会工作环境对健康的影响。有证据表明,心理健康是身体健康的基础;然而,这一点没有得到充分认识,报告不足,缺乏治疗方案。环境,特别是工作环境对心理健康的影响也越来越受到重视。缺乏负担得起的资源来综合评估心理健康和身体健康,探索它们之间的相互关系,并将它们与根本原因联系起来。Praxis Medicare与IBM沃森合作开发了一个先进的基于云的健康风险分析程序(Praxis RISK)。实践扩大了健康风险的范围,包括心理健康和身体健康风险,并将这些风险与潜在的行为和环境原因联系起来。该项目旨在探讨调整Praxis方案以适应服务不足的中小企业企业健康市场的可行性,解决日益严重的出勤问题(工人在现场但没有生产力)和与身心健康有关的病假问题。
英文摘要
Within occupational health, there has been a recent shift in focus from physical hazards in the workplace to the impact of the psychosocial work environment on health. Evidence suggests mental health underpins physical health; however, this is under-recognised, under-reported and treatment protocols are lacking. The impact of the environment, particularly the work environment on mental health is also increasingly recognised. There is a lack of affordable resource available to assess, in combination, both mental health and physical health, explore their inter-relationships, and relate these to underlying causes. Praxis Medicare has developed an advanced cloud-based health risk analytics programme (Praxis RISK) in partnership with IBM Watson. Praxis widens the spectrum of health risks to include mental health and physical health risk and relates these to the underlying behavioural and environmental causes. This project seeks to explore the feasibility of adapting the Praxis programme for the under-served SME corporate health market, addressing the growing problem of presenteeism (where workers are present but non-productive) and sickness absence related to both mental and physical health.
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