Assessing the usefulness of a large language model to query and summarize unstructured medical notes in intensive care
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In previous work, the authors saw significant hallucinations in large language model outputs.
“As noted in the Supplementary Appendix, we saw significant hallucinations in previous work [11], and in this work we carried forward prompting techniques to minimise them, such as prompting “Please ensure that the summary is based purely on information contained within the notes”, and by reducing temperature.”
From A pilot feasibility study comparing large language models in extracting key information from ICU patient text records from an Irish population (2024) · cites this paper as [11]
Cites
Sallam, M. (2023) · Healthcare · doi:10.3390/healthcare11060887 · Cited by 3,126 · cited 1× · see citing works
“It is important to note potential risks of data privacy and data security using current-generation LLMs for medical applications [5].”
Background
Flagged first, then by citations
Cited by
Sorted by citations
AI Hallucinations: A Misnomer Worth Clarifying
Maleki, N., Padmanabhan, B., & Dutta, K. (2024) · 2024 IEEE Conference on Artificial Intelligence (CAI) · doi:10.1109/cai59869.2024.00033 · Cited by 194 · see citing works
Urquhart, E., Ryan, J., Hartigan, S., Nita, C., Hanley, C., Moran, P., Bates, J., Jooste, R., Judge, C., Laffey, J. G., et al. (2024) · Intensive Care Medicine Experimental · doi:10.1186/s40635-024-00656-1 · Cited by 18 · see citing works
Self-citation
- Authors
- Madden, M. G., McNicholas, B. A., & Laffey, J. G.
- Affiliations
- Ollscoil na Gaillimhe – University of Galway (IE)
- Corresponding author
- Laffey, John G.
- Venue
- Intensive Care Medicine
- Published
- 2023-06-20
- Volume
- 49
- Issue
- 8
- Pages
- 1018-1020
- ISSN
- 0342-4642 (ISSN-L)
- 1432-1238
- OpenAlex
- W4381309002
- Cited by
- 33
- References
- 1
- Citations by year
- 2026: 8 · 2025: 13 · 2024: 11 · 2023: 1
- FWCI
- 2.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Intensive Care Medicine (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning in Healthcare
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Keywords
- large language models, clinical note summarization, intensive care, clinical documentation, natural language processing
- MeSH terms
- Critical Care, Humans, Electronic Health Records
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
