@article{flanagan2025therapy,
title={Balancing AI Innovation and Privacy in Mental Health Therapy: A Case Study from Co-Opts},
author={Flanagan, Kevin and Gillespie, Stuart and Sharan, Malvika and Bennett, Arielle and Demertzi, L{\'e}ll{\'e}},
url={https://zenodo.org/records/15481204},
urldate={2025-07-11},
DOI={10.5281/zenodo.15481204},
year={2025},
month={05},
day={21},
copyright={Creative Commons Attribution 4.0 International},
abstract={A key barrier to data handling in mental health care is the lack of baseline measurements. Unlike physical health, where vitals such as temperature and blood pressure have provided objective data points for at least a century, existing mental health assessments tend to rely on self-reported and potentially highly subjective questionnaires. To address this thorny challenge, healthtech company Co-Opts is building a trans-diagnostic, pan-treatment intervention for mental health and therapy. Their motivation is to use AI for user empowerment, giving patients ownership of their data.},
}
%collection={The Turing Way Practitioners Hub Case Study Series 2024--25},