Identifying the mechanism of missingness for unspecified diabetic retinopathy disease severity in the electronic health record: an IRIS®  Registry analysis

Access Your Copy of the Manuscript

This published study was conducted by a team of Verana Health researchers, including senior author Durga Borkar, MD, MMCi, and first authors Meghan Hatfield, MPH, and Thai Hien Nguyen, MPH from the Quantitative Sciences department.

Manuscript Details:

  • Analyzes American Academy of Ophthalmology IRISⓇ Registry (Intelligent Research in Sight) data to investigate the mechanism of missingness for diabetic retinopathy (DR) severity based on International Classification of Disease coding
  • Highlights a non-random association between electronic health record (EHR) data regarding the severity of DR in patients and specific demographic, clinical, and practice-level characteristics
  • Demonstrates how real-world data from EHRs in medical registries can allow for a deeper understanding of data trends, patterns, or gaps by filling in the missing pieces and providing deeper context

 

Complete the form to access your copy.

Please do not send any Protected Health Information (PHI) when submitting this form. This form is not encrypted and it is not a suitable method for transmitting PHI. Any PHI sent to Verana Health via this form is deemed to be authorized by the subject of the PHI.

Dots Divider