The ChatGPT may free time needed by the interventional radiologist for administration / documentation

A study on the RSNA PICC line reporting template

Authors

  • Jan F Senge Department of Mathematics and Computer Science, University of Bremen, Bremen, Germany https://orcid.org/0000-0002-2889-5489
  • Matthew T McMurray Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern University Hospital, University of Bern, Switzerland https://orcid.org/0009-0003-4710-8377
  • Fabian Haupt Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern University Hospital, University of Bern, Switzerland https://orcid.org/0000-0002-2401-922X
  • Philipe S. Breiding University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Switzerland https://orcid.org/0000-0002-6985-0332
  • Claus Beisbart Center for Artificial Intelligence in Medicine, University of Bern, Bern, Switzerland https://orcid.org/0000-0003-2731-6200
  • Keivan Daneshvar Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern University Hospital, University of Bern, Switzerland https://orcid.org/0000-0002-0345-0379
  • Alois Komarek Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern University Hospital, University of Bern, Switzerland
  • Gerd Nöldge Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern University Hospital, University of Bern, Switzerland https://orcid.org/0009-0001-4186-4986
  • Frank Mosler Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern University Hospital, University of Bern, Switzerland https://orcid.org/0000-0002-2039-4911
  • Wolfram Andreas Bosbach Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital, Bern University Hospital, University of Bern, Switzerland https://orcid.org/0000-0003-4182-3516

DOI:

https://doi.org/10.59667/sjoranm.v7i2.12

Keywords:

large language models, interventional radiology, automation of administration and documentation

Abstract

Motive: Documentation and administration, unpleasant necessities, take a substantial part of the working time in the subspecialty of interventional radiology. With increasing future demand for clinical radiology predicted, time savings from use of text drafting technologies could be a valuable contribution towards our field.

Method: Three cases of peripherally inserted central catheter (PICC) line insertion were defined for the present study. The current version of ChatGPT was tasked with drafting reports, following the Radiological Society of North America (RSNA) template.

Key results: Score card evaluation by human radiologists indicates that time savings in documentation / administration can be expected without loss of quality from using ChatGPT. Further, automatically generated texts were not assessed to be clearly identifiable as AI-produced.

Conclusions: Patients, doctors, and hospital administrators would welcome a reduction of the time that interventional radiologists need for documentation and administration these days. If AI-tools as tested in the present study are brought into clinical application, questions about trust into those systems eg with regard to medical complications will have to be addressed.

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Published

2024-04-27

How to Cite

The ChatGPT may free time needed by the interventional radiologist for administration / documentation: A study on the RSNA PICC line reporting template. (2024). Swiss Journal of Radiology and Nuclear Medicine, 7(2), 14. https://doi.org/10.59667/sjoranm.v7i2.12

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