Accuracy of ICD-10 Glaucoma Codes in a Large Academic Practice

Daniel L Liebman; Grace E Johnson; Anthony Marte; David S Friedman; Michael V Boland; Tobias Elze; Luo Song; Mengyu Wang; Lucy Q Shen

doi:10.1016/j.ogla.2025.06.012

Accuracy of ICD-10 Glaucoma Codes in a Large Academic Practice

Ophthalmol Glaucoma. 2025 Jul 1:S2589-4196(25)00124-3. doi: 10.1016/j.ogla.2025.06.012. Online ahead of print.

Authors

Daniel L Liebman¹, Grace E Johnson², Anthony Marte³, David S Friedman¹, Michael V Boland¹, Tobias Elze⁴, Luo Song⁴, Mengyu Wang⁴, Lucy Q Shen⁵

Affiliations

¹ Department of Ophthalmology, Mass Eye and Ear and Harvard Medical School, Boston, MA, USA.
² Department of Ophthalmology, Mass Eye and Ear and Harvard Medical School, Boston, MA, USA; Tufts University School of Medicine, Boston, MA, USA.
³ Department of Ophthalmology, Mass Eye and Ear and Harvard Medical School, Boston, MA, USA; Department of Ophthalmology, Montefiore Einstein and Albert Einstein College of Medicine, New York, NY, USA.
⁴ Harvard Ophthalmology AI Lab, Schepens Eye Research Institute of Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA.
⁵ Department of Ophthalmology, Mass Eye and Ear and Harvard Medical School, Boston, MA, USA. Electronic address: Lucy_Shen@meei.harvard.edu.

PMID: 40609953
DOI: 10.1016/j.ogla.2025.06.012

Abstract

Manual chart review of 500 patients was performed to compare documented ICD-10 glaucoma codes with physicians' notes. ICD-10 accuracy was 88% to indicate a glaucoma diagnosis, and 81% to indicate a glaucoma subtype.

Keywords: ICD-10; accuracy; claims data; glaucoma.