Health Literature Hybrid AI for Health Improvement: A Design Analysis for Diabetes & Hypertension

L.P.A. Simons, M.A. Neerincx, C.M. Jonker

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Increasingly, front runner patients and practitioners want to use state-of-the-art science for rapid lifestyle based cure of diseases of affluence. However, the number of new health studies per year (>500.000) is overwhelming. How to quickly assess state-of-the-art and use new opportunities for rapid patient DIY (Do-It-Yourself) health improvement? In order to develop a health literature hybrid AI to aid DIY rapid health improvement, we analyze user side functional requirements. A cross case design analysis is conducted for hypertension and T2D (Type 2 Diabetes), two major cardiometabolic conditions in our society. Our analysis shows that current DIY health support is ‘watered down’ advise, prone to medicalizing rather than empowering patients. We propose hybrid AI user requirements and discuss how a 2030 hybrid AI health support system can stimulate new ways of working in health and cure.
Original languageEnglish
Title of host publication34th Bled eConference Digital Support from Crisis to Progressive Change
Subtitle of host publicationJune 27 - 30, 2021, Online Conference Proceedings
Place of PublicationMaribor
Number of pages14
ISBN (Electronic)978-961-286-385-9
Publication statusPublished - 2021

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project
Otherwise 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.


  • Health
  • Personal Medicine
  • Self-management
  • AI
  • Quantified Self
  • Service Design
  • QFD


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