Development of an automated method for audiometric data extraction and analysis using voting optical character recognition

However, audiometric data are often stored in formats that hinder efficient data utilization.

To overcome these limitations, we develop in the present study an automated data collection program that extracts table-formatted audiometric data from audiometric report images stored in EMR systems.

The proposed approach thus enables the efficient collection and analysis of audiometric data in otorhinolaryngology, enhancing data utilization in future research and clinical applications and ultimately improving the quality of patient care.

In the present study, we propose a VOCR method for the automated extraction of otolaryngology audiometric data.

This increase in the data extraction efficiency may contribute to higher-quality patient care and enable the development of more personalized treatment plans.