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Related Experiment Video

Updated: Jun 4, 2026

Using an Automated Hirschberg Test App to Evaluate Ocular Alignment
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Using an Automated Hirschberg Test App to Evaluate Ocular Alignment

Published on: March 24, 2020

New data base program for quality control of strabismus surgery.

N Stärk1, P Stärk, A A Zubcov

  • 1University Eye Hospital, Johann Wolfgang Goethe University, Frankfurt/M., Department of Pediatric Ophthalmology (Head: Prof Dr. med. Norbert Stärk), Germany.

Strabismus
|February 15, 2011
PubMed
Summary
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Strabismus·2011

A new database program simplifies strabismus patient data collection, improving storage and accessibility. This tool requires no special computer skills for easy entry of visual sensory data and squinting angles.

Area of Science:

  • Ophthalmology
  • Medical Informatics

Background:

  • Strabismus management requires comprehensive patient data.
  • Efficient data collection is crucial for clinical decision-making and research.

Purpose of the Study:

  • To introduce a novel database program for strabismus patients.
  • To streamline the input and management of preoperative and postoperative data.

Main Methods:

  • Development of a user-friendly database program.
  • Inclusion of fields for visual sensory data, motility, squinting angle, and head position.
  • Logical data entry flow with no abbreviations to enhance clarity.

Main Results:

  • The program facilitates easy entry of patient data, requiring no specialized computer skills.

Related Experiment Videos

Last Updated: Jun 4, 2026

Using an Automated Hirschberg Test App to Evaluate Ocular Alignment
05:40

Using an Automated Hirschberg Test App to Evaluate Ocular Alignment

Published on: March 24, 2020

  • Optimized data storage with up to 271 entry fields per patient, including 67 for squinting angles.
  • Data compression across three to four screens for efficient viewing.
  • Conclusions:

    • The developed database program offers an efficient and accessible solution for managing strabismus patient information.
    • Enhanced data organization and storage capacity improve clinical workflow and data retrieval.