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Natural Language Processing and Its Use in Orthopaedic Research.

John M Wyatt1, Gregory J Booth2,3,4, Ashton H Goldman5,6

  • 1Department of Orthopaedic Surgery, 620 John Paul Jones Circle, Portsmouth, 23708, VA, USA.

Current Reviews in Musculoskeletal Medicine
|November 10, 2021
PubMed
Summary

Natural language processing (NLP) enhances orthopaedic research by efficiently processing text data for tasks like chart review and report analysis. NLP is a valuable tool for improving research quality and patient care.

Keywords:
Artificial intelligenceFree-text dataMachine learningNatural language processing

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Area of Science:

  • Computer Science
  • Medical Informatics
  • Orthopaedic Surgery

Background:

  • Natural language processing (NLP) is a subset of artificial intelligence.
  • NLP enables computers to interpret and process human language data.

Purpose of the Study:

  • To demonstrate the applications of NLP in orthopaedic research.
  • To highlight NLP's role in advancing orthopaedic studies.

Main Methods:

  • Review of current NLP applications in orthopaedics.
  • Analysis of NLP's capabilities in handling free-text data.

Main Results:

  • NLP is used for retrospective chart reviews and analyzing electronic health records.
  • Applications include processing operative notes, radiology reports, and patient feedback.
  • NLP offers efficient data organization and analysis compared to manual methods.

Conclusions:

  • NLP is an emerging and valuable tool in orthopaedic research.
  • It enhances research efficiency, quality, and thoroughness.
  • NLP complements, but does not replace, human research expertise, ultimately improving patient care.