EDEN: Towards a Computational Framework to Align Incentives in Healthy Aging

Wasu Mekniran, Wasu Mekniran, Tobias Kowatsch, Tobias Kowatsch

2025

Abstract

Incentive misalignment among healthcare stakeholders poses significant barriers to promoting healthy aging, hindering efforts to mitigate the burden of long-term care. Despite extensive research in public health, incentive gaps persist, as static implementation guidelines often fail to accommodate dynamic and conflicting incentives. This study introduces and evaluates EDEN (eden.ethz.ch), a computational framework designed to dynamically map stakeholder incentives using a Retrieval-Augmented Generation pipeline. A comparative study using a health insurer use case evaluates alternative incentive analyses; qualitative content analysis, large language models, and EDEN. The evaluation assesses their ability to identify and address incentive gaps. Preliminary findings demonstrate the EDEN's ability to map incentives and highlight misalignment compared to alternative approaches. These findings demonstrate how EDEN can offer evidence-based strategies for key healthcare stakeholders, such as health insurers, based on retrieval features to align incentives in healthy aging.

Paper Citation

in Harvard Style

Mekniran W. and Kowatsch T. (2025). EDEN: Towards a Computational Framework to Align Incentives in Healthy Aging. In Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: Scale-IT-up; ISBN 978-989-758-731-3, SciTePress, pages 1067-1076. DOI: 10.5220/0013359800003911

in Bibtex Style

@conference{scale-it-up25,
author={Wasu Mekniran and Tobias Kowatsch},
title={EDEN: Towards a Computational Framework to Align Incentives in Healthy Aging},
booktitle={Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: Scale-IT-up},
year={2025},
pages={1067-1076},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013359800003911},
isbn={978-989-758-731-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: Scale-IT-up
TI - EDEN: Towards a Computational Framework to Align Incentives in Healthy Aging
SN - 978-989-758-731-3
AU - Mekniran W.
AU - Kowatsch T.
PY - 2025
SP - 1067
EP - 1076
DO - 10.5220/0013359800003911
PB - SciTePress