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.
| Original language | English |
|---|---|
| Pages (from-to) | 200-216 |
| Number of pages | 17 |
| Journal | International Journal of Networking and Virtual Organisations |
| Volume | 27 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2022 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Keywords
- Health
- Employee Performance
- Self-Management Support
- artifical intelligence
- Quantified Self
- Service Design
- Personal Medicine
