Exploring the potential of large language models for integration into an academic statistical consulting service–the EXPOLS study protocol
This multimodal study includes four study parts using qualitative and quantitative methods to gather data. Study part (I) is designed as mixed mode study to explore the use of LLMs in supporting statistical consulting and to evaluate the utility, efficiency and satisfaction related to the use of LLMs. Study part (II) uses a standardized online questionnaire to evaluate the training module. Study part (III) evaluates the consulting sessions using LLMs from advisee perspective. Study part (IV) explores experiences, attitudes, fears and current practices regarding the use of LLMs of the staff at the Medical Center and the University of Freiburg. This study is registered at the Freiburg Registry of Clinical Studies under the ID: FRKS004971.
Authors
- Jörg Sahlmann (ORCID: https://orcid.org/0000-0003-3023-3318)
- Harald Binder (ORCID: https://orcid.org/0000-0002-5666-8662)
- Jochen Knaus (ORCID: https://orcid.org/0000-0002-7470-3791)
- Dominikus Stelzer (ORCID: https://orcid.org/0000-0001-7970-6388)
- Urs Alexander Fichtner (ORCID: https://orcid.org/0000-0002-4190-8969)
- Erika Graf (ORCID: https://orcid.org/0000-0002-6831-0756)
- Susanne Weber (ORCID: https://orcid.org/0000-0002-4418-3836)
- Martin Wolkewitz (ORCID: https://orcid.org/0000-0002-1268-5057)
- G. Koch
Institutions
- University of Freiburg (DE)
Publication Details
- Journal
- PLoS ONE
- Published
- 2024-12-04
- DOI
- https://doi.org/10.1371/journal.pone.0308375
- Citations
- 3
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.36
Funders
- Deutsche Forschungsgemeinschaft
- Albert-Ludwigs-Universität Freiburg