Related Experiment Video
Updated: Feb 17, 2026

Using an Automated Hirschberg Test App to Evaluate Ocular Alignment
Published on: March 24, 2020
Improving patient identification in an ophthalmology clinic using name alerts
Samir Nazarali1, Pamela Mathura2, Karen Harris2
1Faculty of Medicine, University of Ottawa, Ontario, Canada.
Objective:
To develop a standardized process for reviewing daily patient lists and identifying potential risks of misidentification. Our goal was to develop a proactive approach to identify and eliminate risks of patient misidentification.
Methods:
Assessment of current patient identification practices took place over a period of 4 weeks. Using a process map, a patient survey was developed to determine the encounter points when patient identification was confirmed. This information was used to develop a standardized protocol for review of daily appointment lists.
Results:
Review of daily appointment lists was completed to identify potential similar/same name risks. A standardized manual process of chart review, flagging, and tracking was developed.
Conclusions:
The name alert process resulted in a simple manual process for identifying which patients have a higher name risk and allowed care providers to take preventative action to decrease potential risk of incorrect diagnostic testing, procedure, or medication administration.

