Development of a graphical interface for medical data standardization for individuals with hearing disorders

BACKGROUND: One of the key tasks in healthcare practice is to collect and process patient data, especially in individuals with hearing impairments, because audiological examination includes a wide range of tests to determine severity and type of hearing loss and damage to the auditory system, to diagnose central auditory processing disorders, and to monitor auditory and speech rehabilitation. Collecting and processing data from such individuals is a complex task that requires precision and a high level of automation, as traditional manual data entry methods may have problems such as high error rates, time inefficiencies, and difficulty standardizing data.

AIM: The aim of the study was to develop a computer program for standardized and automated collection of personal and medical data of individuals with impaired hearing at the stages of diagnosis and auditory and speech rehabilitation.

MATERIALS AND METHODS: A total of 515 individuals with impaired hearing were evaluated? of whom 340 used hearing aids. In this study, a Graphical User Interface (GUI) was developed to standardize personal and medical data for patients with peripheral and central auditory system disorders at the stages of diagnosis and auditory and speech rehabilitation.

RESULTS: The program, developed in Python using the Kivy library, ensures cross-platform compatibility and flexibility. This software is designed to increase the speed and convenience of medical data collection, reducing and minimize errors and typos when entering test results through a simple, user-friendly interface.

CONCLUSIONS: The proposed GUI application improves the accuracy and reliability of the collected data, which is critical for the diagnosis and rehabilitation of patients.