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


Date

2025

Publication Type

Conference Paper, Conference Paper

ETH Bibliography

yes

Citations

Altmetric

Data

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.

Publication status

published

Editor

Book title

Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: Scale-IT-up

Journal / series

Volume

Pages / Article No.

1067 - 1076

Publisher

SciTePress

Event

18th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2025)

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Natural Language Processing; healthy aging; Network Analysis; Preventive Care; retrieval-augmented generation; Computational methods

Organisational unit

02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.

Notes

Conference lecture held on February 21, 2025

Funding

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