Back

International Corneal and Ocular Surface Disease Dataset for Electronic Health Records

Ting, D. S. J.; Kaye, S. B.; Rauz, S.; International Corneal and Ocular Surface Disease (C&OSD) Dataset Development Working Group,

2025-01-22 ophthalmology
10.1101/2025.01.18.25320772
Show abstract

Background/AimsTo provide a comprehensive and internationally standardised Cornea and Ocular Surface Disease (C&OSD) dataset for use in electronic health records (EHRs). MethodsThis was an international consensus study conducted through roundtable discussions involving 35 international experts specialising in the field of C&OSD. The Royal College of Ophthalmologists dataset guidelines were used to articulate initial C&OSD data elements template by curating data elements from validated published datasets obtained through scientific literature searches, and accessing existing international patient clinical and reported outcome recording instruments and registries. These included data elements recommended by the Dry Eye Workshop II, International Meibomian Gland Dysfunction Workshop, Ocular Surface Disease Activity and Damage Indices, the Cicatrising Conjunctivitis Assessment Tool, Limbal Stem Cell Deficiency Clinical and Confocal Grading, Chronic Ocular Manifestations in Patients with Stevens-Johnson Syndrome, and the UK Transplant Registry. Data elements pooled into an independent operational data model. ResultsA comprehensive generic dataset (common to all ophthalmology datasets) and C&OSD specific dataset was developed. Within the C&OSD dataset, several gateway disease datasets, such as atopic or allergic eye diseases, meibomian gland dysfunction, cicatrising conjunctivitis, chemical injury, dry eye, limbal stem cell deficiency, microbial or infectious keratitis, corneal erosion syndrome, and keratoconus, were established to streamline data entry for clinical audit and research purposes. ConclusionA comprehensive C&OSD dataset is provided which can be used by both generalist and specialist ophthalmologists. Adoption of the full dataset by EHR providers will lead to better interoperability and patient care and facilitate international research collaboration.

Matching journals

1
Eye
Springer Science and Business Media LLC · based on 11 published papers
#1
201× avg
2
PLOS ONE
Public Library of Science (PLoS) · based on 1737 published papers
Top 34%
14.1%
3
British Journal of Ophthalmology
BMJ · based on 13 published papers
Top 0.1%
153× avg
4
Ophthalmology Science
Elsevier BV · based on 15 published papers
Top 0.3%
135× avg
5
BMJ Open
BMJ · based on 553 published papers
Top 13%
2.2× avg
6
Translational Vision Science & Technology
Association for Research in Vision and Ophthalmology (ARVO) · based on 18 published papers
Top 0.7%
55× avg
7
Journal of Medical Internet Research
JMIR Publications Inc. · based on 81 published papers
Top 5%
4.6× avg
8
Frontiers in Medicine
Frontiers Media SA · based on 99 published papers
Top 9%
3.0× avg
9
Investigative Opthalmology & Visual Science
Association for Research in Vision and Ophthalmology (ARVO) · based on 11 published papers
Top 0.8%
29× avg
10
Journal of Allergy and Clinical Immunology
Elsevier BV · based on 15 published papers
Top 0.8%
19× avg
11
Scientific Reports
Springer Science and Business Media LLC · based on 701 published papers
Top 74%
1.5%
12
Genetics in Medicine
Elsevier BV · based on 57 published papers
Top 4%
3.8× avg
13
Cureus
Springer Science and Business Media LLC · based on 64 published papers
Top 11%
2.1× avg
14
F1000Research
F1000 Research Ltd · based on 28 published papers
Top 4%
4.8× avg
15
Orphanet Journal of Rare Diseases
Springer Science and Business Media LLC · based on 15 published papers
Top 2%
8.9× avg