Co-Designing AI Interventions: A Participatory Approach Using System Mapping and Theory of Change Modelling

In a workshop setting, Participatory Systems Mapping and Theory of Change modelling were employed for the purpose of analysing clinical workflows and assessing the integration of an AI-based prediction system. These methods aimed to visualise challenges, systemic dependencies and causal pathways in clinical practice using visual maps, while actively incorporating the insights and expertise of healthcare professionals. The results demonstrate that these methodologies are valuable for the analysis of complex clinical processes and illustrating intervention impacts. While map complexity and limited space posed challenges during face-to-face collaboration, the approach provided actionable perspectives for aligning AI interventions with practical needs in healthcare settings.

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Publication Details

Journal
Studies in health technology and informatics
Published
2025-05-15
DOI
https://doi.org/10.3233/shti250356
Primary Topic
Health Policy Implementation Science
Type
article
Field-Weighted Citation Impact
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article

Co-Designing AI Interventions: A Participatory Approach Using System Mapping and Theory of Change Modelling

Christophe Kunze, Tabea Rambach
Studies in health technology and informatics
Health Policy Implementation Science
article

Co-Designing AI Interventions: A Participatory Approach Using System Mapping and Theory of Change Modelling

Christophe Kunze, Tabea Rambach
article en

Abstract

In a workshop setting, Participatory Systems Mapping and Theory of Change modelling were employed for the purpose of analysing clinical workflows and assessing the integration of an AI-based prediction system. These methods aimed to visualise challenges, systemic dependencies and causal pathways in clinical practice using visual maps, while actively incorporating the insights and expertise of healthcare professionals. The results demonstrate that these methodologies are valuable for the analysis of complex clinical processes and illustrating intervention impacts. While map complexity and limited space posed challenges during face-to-face collaboration, the approach provided actionable perspectives for aligning AI interventions with practical needs in healthcare settings.

Studies in health technology and informaticsVol. 327
Furtwangen University (DE)
Partnerships for the goals
Openalex Percentile: Top 70%
Health Policy Implementation Science
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