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
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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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