This paper is in the following e-collection/theme issue:

Research Infrastructures and Registries (68) Orthopedics (76) Electronic Health Records (1131) Natural Language Processing (767) Secondary Use of Clinical Data for Research and Surveillance (399) Tools, Programs and Algorithms (307)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64705, first published .
Assessing Total Hip Arthroplasty Outcomes and Generating an Orthopedic Research Outcome Database via a Natural Language Processing Pipeline: Development and Validation Study

Assessing Total Hip Arthroplasty Outcomes and Generating an Orthopedic Research Outcome Database via a Natural Language Processing Pipeline: Development and Validation Study

Assessing Total Hip Arthroplasty Outcomes and Generating an Orthopedic Research Outcome Database via a Natural Language Processing Pipeline: Development and Validation Study

Authors of this article:

Nicholas H Mast1 Author Orcid Image ;   Clara L. Oeste2 Author Orcid Image ;   Dries Hens2 Author Orcid Image
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Nicholas H Mast   1 , MD ;   Clara L. Oeste   2 , PhD ;   Dries Hens   2 , MD

1 Hip and Pelvis Institute, San Francisco, CA, United States

2 LynxCare Inc, Leuven, Belgium

Corresponding Author: