Abstract
Globally, the burden of disease is rising. High performance employees and organisations need to improve their health self-management options and skills. Unfortunately, there are an overwhelming number (> 500,000) of new health publications every year. We aim to design a health AI on top of Scholar Google, to support rapid employee do-it-yourself (DIY) health improvement. Thus, we analysed user requirements, based on design analyses for two cases: hypertension and type-2 diabetes (T2D), two major diseases of affluence in our society, which are reversible with healthy living. We show how a hybrid AI may empower employees instead of medicalising them. To conclude, we propose a next level of quantified self for worker health self-management.
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