Large language models can effectively extract stroke and reperfusion audit data from medical free-text discharge summaries
LLM may be able to assist with the efficient collection of stroke audit data. Such approaches may be pursued in other specialties. Future studies should seek to examine the most effective way to deploy such approaches in conjunction with human auditors and researchers.
Authors
- Jim Jannes (ORCID: https://orcid.org/0000-0003-1440-2572)
- Andrew Booth
- Aashray Gupta (ORCID: https://orcid.org/0000-0002-8038-0378)
- Stephen Bacchi (ORCID: https://orcid.org/0000-0001-5130-8628)
- Toby Gilbert (ORCID: https://orcid.org/0000-0002-3431-9672)
- Brandon Stretton (ORCID: https://orcid.org/0000-0002-7939-3489)
- Samuel Gluck (ORCID: https://orcid.org/0000-0001-7883-517X)
- Timothy John Kleinig (ORCID: https://orcid.org/0000-0003-4430-3276)
- Joshua G. Kovoor (ORCID: https://orcid.org/0000-0002-3880-3840)
- Wilson Vallat (ORCID: https://orcid.org/0000-0002-5548-7501)
- Sheryn Tan (ORCID: https://orcid.org/0000-0002-8310-0853)
- Sarah Howson (ORCID: https://orcid.org/0000-0002-8040-0164)
- Benjamin K. Cook (ORCID: https://orcid.org/0009-0000-1993-213X)
- Andrew Moey
- John Maddison (ORCID: https://orcid.org/0000-0001-9675-8681)
- Rudy Goh (ORCID: https://orcid.org/0000-0003-1645-2258)
- W. Taylor Kimberly (ORCID: https://orcid.org/0000-0002-2519-8530)
- Shrirajh Satheakeerthy (ORCID: https://orcid.org/0009-0005-8604-3750)
- Jarrod Marks
Institutions
- South Australia Pathology (AU)
- Royal Adelaide Hospital (AU)
- Lyell McEwin Hospital (AU)
- Massachusetts General Hospital (US)
- Ballarat Health Services (AU)
- Center for Systems Biology (US)
- The University of Adelaide (AU)
Publication Details
- Journal
- Journal of Clinical Neuroscience
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1016/j.jocn.2024.110847
- Citations
- 15
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 5.80