The state of standardized musculoskeletal terminology for healthcare reuse:A scoping review

Extensive terminology development has begun yet gaps exist between development and clinical adoption. Terms evolve as research evolves; therefore, MSK professions should actively engage with interoperability groups to establish hierarchical ontologies that incorporate the identified data groups and balance standardization at higher conceptual levels with flexible lexicons to enable terminology growth over time. Establishing feedback mechanisms with EHR vendors to minimize clinicians' cognitive burden will accelerate adoption and maximize clinical value.

Authors

Institutions

Publication Details

Journal
International Journal of Medical Informatics
Published
2026-02-04
DOI
https://doi.org/10.1016/j.ijmedinf.2026.106318
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The state of standardized musculoskeletal terminology for healthcare reuse:A scoping review

M. Wassell, Karin Verspoor, Henry Pollard
International Journal of Medical Informatics
Biomedical Text Mining and Ontologies
article

The state of standardized musculoskeletal terminology for healthcare reuse:A scoping review

M. Wassell, Karin Verspoor, Henry Pollard
article en

Abstract

Extensive terminology development has begun yet gaps exist between development and clinical adoption. Terms evolve as research evolves; therefore, MSK professions should actively engage with interoperability groups to establish hierarchical ontologies that incorporate the identified data groups and balance standardization at higher conceptual levels with flexible lexicons to enable terminology growth over time. Establishing feedback mechanisms with EHR vendors to minimize clinicians' cognitive burden will accelerate adoption and maximize clinical value.

International Journal of Medical InformaticsVol. 211
Charles Sturt University (AU), Durban University of Technology (ZA), Central Queensland University (AU), RMIT University (AU)
Openalex Percentile: Top 67%
Biomedical Text Mining and Ontologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.