Using the language of surgery to enhance ophthalmology surgical education.

Background: Currently, surgical education utilizes a combination of the apprentice model, wet-lab training, and simulation, but due to reliance on subjective data, the quality of teaching and assessment can be variable. The "language of surgery," an established concept in engineering literature whose incorporation into surgical education has been limited, is defined as the description of each surgical maneuver using quantifiable metrics. This concept is different from the traditional notion of surgical language, generally thought of as the qualitative definitions and terminology used by surgeons.
Methods: A literature search was conducted through April 2023 using MEDLINE/PubMed using search terms to investigate wet-lab, virtual simulators, and robotics in ophthalmology, along with the language of surgery and surgical education. Articles published before 2005 were mostly excluded, although a few were included on a case-by-case basis.
Results: Surgical maneuvers can be quantified by leveraging technological advances in virtual simulators, video recordings, and surgical robots to create a language of surgery. By measuring and describing maneuver metrics, the learning surgeon can adjust surgical movements in an appropriately graded fashion that is based on objective and standardized data. The main contribution is outlining a structured education framework that details how surgical education could be improved by incorporating the language of surgery, using ophthalmology surgical education as an example.
Conclusion: By describing each surgical maneuver in quantifiable, objective, and standardized terminology, a language of surgery can be created that can be used to learn, teach, and assess surgical technical skill with an approach that minimizes bias.
Key Message: The "language of surgery," defined as the quantification of each surgical movement's characteristics, is an established concept in the engineering literature. Using ophthalmology surgical education as an example, we describe a structured education framework based on the language of surgery to improve surgical education.
Classifications: Surgical education, robotic surgery, ophthalmology, education standardization, computerized assessment, simulations in teaching.
Competencies: Practice-Based Learning and Improvement.
Competing Interests: James T. Handa receives grant funding and royalties from Bayer Pharmaceuticals. He also receives grant funding and is a member of the Scientific Advisory Board for Clover Therapeutics, is a member of the Scientific Advisory Board for Seeing Medicines, and serves as a consultant for Nano Retina. Nathan Pan-Doh, Shameema Sikder, and Fasika A. Woreta report no proprietary or commercial interest in any product mentioned or concept discussed in this article.
(© 2023 The Authors.)