Computational Notebooks as Co-Design Tools: Engaging Young Adults Living with Diabetes, Family Carers, and Clinicians with Machine Learning Models

Personal data store ecosystems in health and social care

“…For instance, seeing that personal data represent a fundamental aspect of personal health technologies (e.g., wearable devices, health apps), such participatory data analysis may help to enrich research studies on usability testing of such technologies [e.g., ( 38 )]. It may also help with patient and public involvement [e.g., see ( 39 )] related to the use of advanced analytics in health—e.g., machine learning models for glucose prediction in real-time could be explained to people with type 1 diabetes through an interactive computational notebook, enabling participants and researchers to explore these models together using real-world data as part of co-design sessions [example based on: ( 40 )].…”

“…LC presented a brief overview of this work at the NIHR Southampton Biomedical Research Centre Open Day, which took place on 9 October 2023. It should also be noted that MB is the Lead Contact for the COdesigning Trustworthy Autonomous Diabetes Systems (COTADs) project funded by the UKRI Trustworthy Autonomous Systems (TAS) Hub [ https://tas.ac.uk/current-research-projects/cotads/ (Accessed October 16, 2023)]—a project which provided inspiration for an example given in section 3.4 of this paper [see ( 40 )]. Again, please note that all views expressed in this paper are those of the authors and do not necessarily represent those named above.…”