Natural language processing for electronic health records in anaesthesiology: an introduction to clinicians with recommendations and pitfalls

J Clin Monit Comput. 2024 Apr;38(2):241-245. doi: 10.1007/s10877-024-01128-3. Epub 2024 Feb 4.

Martin Bernstorff^{1

2

3}, Simon Tilma Vistisen^{4

5}, Kenneth C Enevoldsen^{1

2

3

6}

¹ Department of Affective Disorders, Aarhus University Hospital - Psychiatry, Aarhus, Denmark.
² Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
³ Center for Humanities Computing, Aarhus University, Jens Chr. Skous Vej 4, Aarhus N, 8200, Denmark.
⁴ Department of Clinical Medicine, Aarhus University, Aarhus, Denmark. vistisen@clin.au.dk.
⁵ Department of Anaesthesiology and Intensive Care, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, Aarhus N, 8200, Denmark. vistisen@clin.au.dk.
⁶ Quantitative Genomics Group, Aarhus University, Aarhus N, Denmark.

No abstract available

Keywords: Large language model; Machine learning; Natural language processing; Prediction model; Surgical duration.

Publication types