Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38150, first published .
An End-to-End Natural Language Processing Application for Prediction of Medical Case Coding Complexity: Algorithm Development and Validation

An End-to-End Natural Language Processing Application for Prediction of Medical Case Coding Complexity: Algorithm Development and Validation

An End-to-End Natural Language Processing Application for Prediction of Medical Case Coding Complexity: Algorithm Development and Validation

He Ayu Xu   1 * , PhD ;   Bernard Maccari   2 * , MSc ;   Hervé Guillain   3 , MD, DrPH ;   Julien Herzen   2 , PhD ;   Fabio Agri   4, 5 * , MBA, MD ;   Jean Louis Raisaro   1 * , PhD

1 Biomedical Data Science Center, Lausanne University Hospital, Lausanne, Switzerland

2 Unit8 SA, Lausanne, Switzerland

3 Public Health Solutions Ltd, Promasens, Switzerland

4 Department of Administration and Finance, Lausanne University Hospital, Lausanne, Switzerland

5 Department of Visceral Surgery, Lausanne University Hospital, Lausanne, Switzerland

*these authors contributed equally

Corresponding Author:

  • He Ayu Xu, PhD
  • Biomedical Data Science Center
  • Lausanne University Hospital
  • CHUV, Centre hospitalier universitaire vaudois Rue du Bugnon 21
  • Lausanne, 1011
  • Switzerland
  • Phone: 41 0795566886
  • Email: he.xu@chuv.ch