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Related Concept Videos

Hearing01:31

Hearing

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When we hear a sound, our nervous system is detecting sound waves—pressure waves of mechanical energy traveling through a medium. The frequency of the wave is perceived as pitch, while the amplitude is perceived as loudness.
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Related Experiment Video

Updated: May 12, 2025

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A protocol for the HEaring Impairment Data Infrastructure (HEIDI) study.

Yvonne Tran1, Mariano Cabezas1, Frank Tran1

  • 1Macquarie University Hearing Research Centre, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, New South Wales, Australia.

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Summary
This summary is machine-generated.

This study establishes the HEaring Impairment Data Infrastructure (HEIDI) data lake to analyze hearing loss patient care pathways. Findings will improve understanding of hearing loss management and patient journeys.

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Area of Science:

  • Health Informatics
  • Data Science
  • Audiology

Background:

  • Early detection and treatment of hearing loss are crucial for mitigating negative impacts.
  • Real-world data, including electronic health records, offer valuable insights into hearing loss management.
  • The HEaring Impairment Data Infrastructure (HEIDI) project aims to consolidate diverse datasets to study patient care pathways.

Purpose of the Study:

  • To construct the HEIDI data lake by integrating data from general practice, audiology clinics, and cohort studies.
  • To investigate the care pathways of patients with hearing loss, from general practice to audiology services.
  • To answer key research questions regarding patient navigation of the hearing loss care journey.

Main Methods:

  • Establish a secure HEIDI data lake compliant with Australian privacy regulations.
  • Integrate hearing and general practice datasets through data linkage.
  • Develop the HEIDI data warehouse for descriptive and predictive analytics using statistical techniques and machine learning.

Main Results:

  • Descriptive analytics will elucidate patient journeys and identify trends in hearing loss care.
  • Predictive analytics, employing machine learning, will identify patients for proactive management.
  • The impact of interventions and patient journey milestones on outcomes will be determined.

Conclusions:

  • The HEIDI data lake will provide a robust platform for understanding and improving hearing loss care.
  • The project will enhance the identification of patients who could benefit from timely interventions.
  • Findings will inform strategies for more effective hearing loss management and patient support.