dc.contributor.author
Busch, Felix
dc.contributor.author
Kaibel, Lukas
dc.contributor.author
Nguyen, Hai
dc.contributor.author
Lemke, Tristan
dc.contributor.author
Ziegelmayer, Sebastian
dc.contributor.author
Graf, Markus
dc.contributor.author
Marka, Alexander W.
dc.contributor.author
Endrös, Lukas
dc.contributor.author
Prucker, Philipp
dc.contributor.author
Spitzl, Daniel
dc.contributor.author
Mergen, Markus
dc.contributor.author
Makowski, Marcus R.
dc.contributor.author
Bressem, Keno K.
dc.contributor.author
Petzoldt, Sebastian
dc.contributor.author
Adams, Lisa C.
dc.contributor.author
Landgraf, Tim
dc.date.accessioned
2025-12-15T11:05:52Z
dc.date.available
2025-12-15T11:05:52Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/50839
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-50566
dc.description.abstract
This study aims to investigate the feasibility, usability, and effectiveness of a Retrieval-Augmented Generation (RAG)-powered Patient Information Assistant (PIA) chatbot for pre-CT information counseling compared to the standard physician consultation and informed consent process. This prospective comparative study included 86 patients scheduled for CT imaging between November and December 2024. Patients were randomly assigned to either the PIA group ( n = 43), who received pre-CT information via the PIA chat app, or the control group ( n = 43), with standard doctor-led consultation. Patient satisfaction, information clarity and comprehension, and concerns were assessed using six ten-point Likert-scale questions after information counseling with PIA or the doctor’s consultation. Additionally, consultation duration was measured, and PIA group patients were asked about their preference for pre-CT consultation, while two radiologists rated each PIA chat in five categories. Both groups reported similarly high ratings for information clarity (PIA: 8.64 ± 1.69; control: 8.86 ± 1.28; p = 0.82) and overall comprehension (PIA: 8.81 ± 1.40; control: 8.93 ± 1.61; p = 0.35). However, the doctor consultation group showed greater effectiveness in alleviating patient concerns (8.30 ± 2.63 versus 6.46 ± 3.29; p = 0.003). The PIA group demonstrated significantly shorter subsequent consultation times (median: 120 s [interquartile range (IQR): 100–140] versus 195 s [IQR: 170–220]; p = 0.04). Both radiologists rated overall quality, scientific and clinical evidence, clinical usefulness and relevance, consistency, and up-to-dateness of PIA high. The RAG-powered PIA effectively provided pre-CT information while significantly reducing physician consultation time. While both methods achieved comparable patient satisfaction and comprehension, physicians were more effective at addressing worries or concerns regarding the examination.
en
dc.format.extent
12 Seiten
dc.rights
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
Artificial intelligence
en
dc.subject
Medical informatics
en
dc.subject
Natural language processing
en
dc.subject
Large language models
en
dc.subject.ddc
000 Informatik, Informationswissenschaft, allgemeine Werke::000 Informatik, Wissen, Systeme::004 Datenverarbeitung; Informatik
dc.title
Evaluation of a Retrieval-Augmented Generation-Powered Chatbot for Pre-CT Informed Consent: a Prospective Comparative Study
dc.type
Wissenschaftlicher Artikel
dc.date.updated
2025-12-13T03:39:38Z
dcterms.bibliographicCitation.doi
10.1007/s10278-025-01483-w
dcterms.bibliographicCitation.journaltitle
Journal of Imaging Informatics in Medicine
dcterms.bibliographicCitation.number
6
dcterms.bibliographicCitation.pagestart
4312
dcterms.bibliographicCitation.pageend
4323
dcterms.bibliographicCitation.volume
38
dcterms.bibliographicCitation.url
https://doi.org/10.1007/s10278-025-01483-w
refubium.affiliation
Mathematik und Informatik
refubium.affiliation.other
Institut für Informatik

refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
2948-2933
refubium.resourceType.provider
DeepGreen