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ASL Consent in the Digital Informed Consent Process.

Ben S Kosa1, Ai Minakawa2, Patrick Boudreault2

  • 1University of Washington.

Journal on Technology and Persons with Disabilities : ... Annual International Technology and Persons with Disabilities Conference
|December 31, 2025
PubMed
Summary
This summary is machine-generated.

Deaf individuals face health disparities due to communication barriers. A new app offers informed consent in American Sign Language (ASL), making research more accessible and equitable for the Deaf community.

Keywords:
American Sign LanguageConsentDeaf and hard of hearingMachine Learning

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Area of Science:

  • Health Equity
  • Medical Informatics
  • Sign Language Research

Background:

  • Deaf individuals experience significant health disparities and inequities compared to the general population.
  • Barriers include lack of ASL materials and healthcare professionals trained in deaf-centered care.
  • Limited access to information hinders participation in clinical research.

Purpose of the Study:

  • To address the language barrier in the informed consent process for Deaf individuals.
  • To develop and evaluate an American Sign Language (ASL) informed consent app.

Main Methods:

  • Leveraged machine learning to create an ASL-based navigation and signature method for informed consent.
  • Developed an accessible app for the ASL informed consent process.

Main Results:

  • The study developed a novel method termed "ASL consent."
  • College-educated Deaf participants found the ASL consent app comparable to traditional English consent.

Conclusions:

  • An ASL informed consent app can bridge communication gaps in healthcare and research.
  • This technology promotes greater inclusivity and equity for the Deaf community in clinical research participation.