September 11, 2023Open Access

Improving case duration accuracy of orthopedic surgery using bidirectional encoder representations from Transformers (BERT) on Radiology Reports

WZWilliam ZhongUniversity of California, San Diego PYPhil Y. YaoUniversity of Washington SBSri Harsha BoppanaNassau University Medical Center

Structured PICO

Does the use of BERT on radiology reports improve prediction accuracy for surgical case duration in orthopedic surgery?

Population

Orthopedic surgery cases

Intervention

Bidirectional encoder representations from Transformers (BERT) applied to Radiology Reports

Outcome

Prediction accuracy for surgical case duration

Using BERT-based NLP on radiology reports can improve the accuracy of predicting orthopedic surgery case durations.

Abstract

This proof-of-concept study demonstrated the successful application of NLP and machine leaning to extract features from unstructured clinical data resulting in improved prediction accuracy for surgical case duration.

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