Specifications

68 II For Camera Operators (Pullout section)
The EyePACS Handbook: Tools for Program Success
Importance of Good Data
What are good data in terms of EyePACS?
Good data are data that help ensure that diabetic retinopathy is an effective method of
treatment, support its sustainability in a clinical setting, and inform telemedicine policy.
What fields are necessary for the collection of good data?
In EyePACS the following fields must be filled out to ensure the collection of good data:
Patient name, date of birth, gender, coverage type, ethnicity/race, years with diabetes,
insulin dependency and duration, Hemoglobin A1c, last eye exam, and pregnancy
status within last six months, as seen below: