A Systemic Design Framework for AI-enabled Healthcare: Improving health and wellbeing of people with learning disabilities -35


Gyuchan Thomas Jun, Satheesh Gangadharan, Georgina Cosma, Panos Balatsoukas, Cecilia Landa-Avila, Francesco Zaccardi, Michelle O’Reilly, Ashley Akbari, Vasa Curcin, Rohit Shankar, Reza Kiani, Neil Sinclaire, and Chris Knifton

The aim of this presentation is to present a systemic design framework a research team developed for their UK’s NIHR (National Institute for Health Research)-funded research project, DECODE (Data-driven machine-learning aided stratification and management of multiple long-term conditions in adults with learning disabilities). DECODE will analyse healthcare data on people with learning disabilities from England and Wales to find out what multiple long-term conditions (MLTCs) are more likely to occur together and what happens to some of these MLTCs over time. The end goal of DECODE is to utilise the AI-enabled new knowledge and develop actionable insights for effective joined-up social and health care for people with learning disabilities. The framework we are proposing consists of four steps: i) context analysis to understand the context of AI application; ii) AI output visualisation to develop user-friendly visualisations to display the outputs of AI analysis in a meaningful and accessible way; iii) actionable insight exploration to explore leverage points to improve join-up care coordination; iv) change process planning to evaluate the feasibility and ethical/legal risk of the usage scenarios. This framework will be of interest to many systemic designers who aim to develop a safe, ethical and cost-effective AI in healthcare.

Keywords: artificial intelligence, health care, social care, people with learning disabilities, systemic design

Pre-proceedings drafts are available for RSD11 participants to review. The corresponding paper number is at the end of the title. The papers have been peer-reviewed, and the authors have made revisions. Following RSD11, authors will have a final period to revise their work from the feedback received at RSD before the proceedings are formally published.

Posted September 2022

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Author(s) (20XX). Article title. Proceedings of Relating Systems Thinking and Design (RSDX) Symposium. rsdsymposium.org/LINK.