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Health literature hybrid AI for health improvement; a design analysis for diabetes & hypertension

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

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 publication[42nd] International Conference on Information Systems (ICIS 2021) [TREOs:] Building Sustainability and Resilience with IS: A Call for Action
Subtitle of host publication[volume 2]
PublisherAssociation for Information Systems
Pages837-850
Number of pages14
Volume2
ISBN (Electronic)9781713893608
Publication statusPublished - 2021
Externally publishedYes
Event42nd International Conference on Information Systems: Building Sustainability and Resilience with IS: A Call for Action, ICIS 2021 TREOs - Austin, United States
Duration: 12 Dec 202115 Dec 2021

Conference

Conference42nd International Conference on Information Systems: Building Sustainability and Resilience with IS: A Call for Action, ICIS 2021 TREOs
Country/TerritoryUnited States
CityAustin
Period12/12/2115/12/21

Funding

This research was (partly) funded by the https://www.hybrid-intelligence-centre.nl/ a 10-year programme funded the Dutch Ministry of Education, Culture and Science through the Netherlands Organisation for Scientific Research, grant number 024.004.022 and by EU H2020 ICT48 project ``Humane AI Net'' under contract $\\# $ 952026.

FundersFunder number
Ministerie van Onderwijs, Cultuur en Wetenschap
Nederlandse Organisatie voor Wetenschappelijk Onderzoek024.004.022
H2020 ICT48$ 952026

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