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Smart Glasses as a Surgical Pathology Grossing Tool
Ozlem Kulak1, Anastasia Drobysheva2, Neda Wick1
1Department of Pathology, University of Texas Southwestern Medical Center, Dallas (Kulak, Wick, Arvisais-Anhalt, Germans, Timmons, Park). Kulak and Drobysheva contributed equally to this work.
Archives of Pathology & Laboratory Medicine
|August 22, 2020
Summary
Smart glasses enhance surgical pathology grossing by providing hands-free guidance and automated data collection. Repeated use significantly improved efficiency for complex specimens, demonstrating the potential of augmented reality in pathology workflows.
Area of Science:
- Medical technology
- Pathology informatics
- Human-computer interaction
Background:
- Smart glasses offer hands-free data acquisition and entry capabilities.
- Surgical pathology grossing involves detailed specimen examination and documentation.
- Optimizing grossing efficiency and data accuracy is crucial in pathology.
Purpose of the Study:
- To develop and evaluate a smart glass application for surgical pathology grossing.
- To assess the impact of smart glass technology on grossing time and data recording.
- To explore the potential of augmented reality in pathology workflows.
Main Methods:
- Developed surgical pathology grossing protocols on a Google Glass Enterprise platform.
- Simulated grossing of complex (heart) and simple (kidney) specimens.
- Users received visual prompts, recorded data, and performance was timed and documented automatically.
Main Results:
- For complex specimens, repeated performance by the same user significantly reduced grossing time (P = .002).
- No significant difference in average grossing time was found between users for complex specimens.
- For simple specimens, user differences in average grossing time were observed (P = .03), but no improvement with repetition.
Conclusions:
- Augmented reality-based grossing applications enable automated data collection.
- These applications can track and analyze changes in grossing performance over time.
- Smart glass technology holds promise for improving pathology grossing efficiency and data management.
