Operationalizing AI ethics in medicine—a co-creation workshop study

The workshops elicited concrete, quantifiable, and actionable requirements, which were useful in developing a project-specific ethical framework. The proposed methodology is resource-efficient and requires fewer AI ethics experts than existing methods while remaining compatible with established guidelines. Procedural feedback results suggest that participants and facilitators would benefit from additional training in the use of Planguage. Potential challenges included the impact of power dynamics among participants on discussions, blind spots due to overlooked issues, and the absence of stroke patients among the participants.

Authors

Institutions

Publication Details

Journal
BMC Medical Ethics
Published
2025-10-29
DOI
https://doi.org/10.1186/s12910-025-01317-y
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Operationalizing AI ethics in medicine—a co-creation workshop study

Julia Amann, Vince I. Madai, Tamarinde Haven, Luis M. López-Ramos et al.
1 citations
BMC Medical Ethics
Artificial Intelligence in Healthcare and Education
0.65
article

Operationalizing AI ethics in medicine—a co-creation workshop study

Julia Amann, Vince I. Madai, Tamarinde Haven, Luis M. López-Ramos, Cathrine K. T. Bui, Gabriele Pluktaite
article en
1 citations

Abstract

The workshops elicited concrete, quantifiable, and actionable requirements, which were useful in developing a project-specific ethical framework. The proposed methodology is resource-efficient and requires fewer AI ethics experts than existing methods while remaining compatible with established guidelines. Procedural feedback results suggest that participants and facilitators would benefit from additional training in the use of Planguage. Potential challenges included the impact of power dynamics among participants on discussions, blind spots due to overlooked issues, and the absence of stroke patients among the participants.

BMC Medical EthicsVol. 26(1)
Tilburg University (NL), Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE), Simula Metropolitan Center for Digital Engineering (NO), SCQM Foundation (CH)
Openalex Percentile: Top 20%
Artificial Intelligence in Healthcare and Education
0.65
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.