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Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
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Smartphone hearing screening with integrated quality control and data management.

De Wet Swanepoel1, Hermanus C Myburgh, David M Howe

  • 1* Department of Speech-Language Pathology and Audiology , University of Pretoria, Pretoria , South Africa.

International Journal of Audiology
|July 8, 2014
PubMed
Summary

A new smartphone application functions as a calibrated screening audiometer for schools. This mobile hearing test shows results comparable to traditional methods, including real-time noise monitoring.

Keywords:
Ambient noiseaudiometrycalibrationchildhood hearing losshearing screeningpure-tone audiometryschool screening

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Area of Science:

  • Audiology
  • Mobile Health Technology
  • Public Health Screening

Background:

  • Traditional hearing screening methods can be resource-intensive.
  • The need for accessible and accurate hearing screening tools in schools is critical.
  • Smartphone technology offers potential for portable and cost-effective health solutions.

Purpose of the Study:

  • To evaluate a smartphone application as a calibrated screening audiometer.
  • To assess the feasibility of real-time noise monitoring within the application.
  • To compare the accuracy and outcomes of smartphone-based hearing screening with conventional methods.

Main Methods:

  • Three studies were conducted: smartphone calibration, microphone sensitivity for noise monitoring, and comparison with conventional screening.
  • Calibration involved testing accuracy across multiple smartphones and headphones.
  • Noise monitoring referenced smartphone microphone sensitivity to sound-level meter measurements.

Main Results:

  • Smartphone audiometry calibration was within 1 dB of reference levels for 20, 30, and 40 dB.
  • Noise monitoring showed minimal variability across phones (max 2.9 dB at 4 kHz).
  • Smartphone screening yielded comparable results to conventional audiometry, with similar referral rates (4.3% vs. 3.7%).

Conclusions:

  • The developed smartphone application is a valid and accurately calibrated tool for audiometry.
  • Real-time noise monitoring is feasible and effective within the application.
  • Clinical outcomes of smartphone-based hearing screening are comparable to traditional methods, supporting its use in schools.