Gap Analysis of Standard Automated Perimetry Concept Representation in Medical Terminologies

There is a lack of representation of some SAP data elements in standardized medical terminologies, hampering interoperability and data sharing. We identified gaps and proposed new concepts for addition to LOINC, aiming to improve SAP data standards and interoperability.

Authors

Institutions

Publication Details

Journal
Journal of Glaucoma
Published
2025-04-07
DOI
https://doi.org/10.1097/ijg.0000000000002575
Citations
1
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.81
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Gap Analysis of Standard Automated Perimetry Concept Representation in Medical Terminologies

Sophia Ying Wang, Mark Christopher, Aaron Lee, Michael V. Boland et al.
1 citations
Journal of Glaucoma
Biomedical Text Mining and Ontologies
0.81
article

Gap Analysis of Standard Automated Perimetry Concept Representation in Medical Terminologies

Sophia Ying Wang, Mark Christopher, Aaron Lee, Michael V. Boland, Kaveri A. Thakoor, Kerry Goetz, Michelle R. Hribar, Robert Neal Weinreb, Brian C. Stagg, Jonathan S. Myers, Linda M. Zangwill, Sally L. Baxter, Aiyin Chen, Benjamin Yixing Xu, Shahin Hallaj, William Halfpenny, Dilru C. Amarasekera, Niloofar Radgoudarzi, Swarup S. Swaminathan
article en
1 citations

Abstract

There is a lack of representation of some SAP data elements in standardized medical terminologies, hampering interoperability and data sharing. We identified gaps and proposed new concepts for addition to LOINC, aiming to improve SAP data standards and interoperability.

Journal of GlaucomaVol. 34(8)
University of Southern California (US), Massachusetts Eye and Ear Infirmary (US), National Institutes of Health (US), Harvard University (US), University of Miami (US), Thomas Jefferson University (US), University of San Diego (US), Legacy Health (US), Oregon Health & Science University (US), University of Washington (US), University of Utah (US), Columbia University Irving Medical Center (US), University of California San Diego (US), Southern California Eye Institute (US), Utah Department of Health (US), The California Eye Institute (US), National Eye Institute (US), Smith-Kettlewell Eye Research Institute (US), Columbia University (US), Wills Eye Hospital (US), Stanford University (US)
Partnerships for the goals
Openalex Percentile: Top 29%
Biomedical Text Mining and Ontologies
0.81
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.