Innovation and Transformation in the Hearing Health Ecosystem: Artificial Intelligence and Interoperability
Abstract
With the advancement of artificial intelligence and the increasing digitalization of health systems, interoperability emerges as a critical factor for integrating different sources of information and improving the effectiveness of audiological services. However, challenges such as data fragmentation, technological barriers, and system heterogeneity still limit the adoption of solutions using AI and standardized databases in the sector. This study presents gaps in the area and proposes the development of a component integrated into a digital hearing health ecosystem, with the aim of automating processes, enabling the interoperability of audiological data, and improving data-based decision-making.
Keywords:
Generative Artificial Intelligence, Retrieval-Augmented Generation, Interoperability, Virtual Assistant, Data-Driven Decision-Making
References
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Triantafyllopoulos, A.; Kathan, A.; Baird, A.; Christ, L.; Gebhard, A.; Gerczuk, M.; Karas, V.; Hübner, T.; Jing, X.; Liu, S.; Mallol-Ragolta, A.; Milling, M.; Ottl, S.; Semertzidou, A.; Rajamani, S. T.; Yan, T.; Yang, Z.; Dineley, J.; Amiriparian, S.; Bartl-Pokorny, K. D.; Batliner, A.; Pokorny, F. B.; Schuller, B. W. HEAR4Health: a blueprint for making computer audition a staple of modern healthcare. Frontiers in Digital Health, v. 5, 2023. DOI: 10.3389/fdgth.2023.1196079.
Wasmann, J. W. A.; Lanting, C. P.; Huinck, W. J.; Mylanus, E. A. M.; Van Der Laak, J. W. M.; Govaerts, P. J.; Swanepoel, D. W.; Moore, D. R.; Barbour, D. L. Computational Audiology: New Approaches to Advance Hearing Health Care in the Digital Age. Ear & Hearing, 2021. Disponível em: DOI: 10.1097/AUD.0000000000001041. Acesso em: 18 jul. 2024
CFFa – Conselho Federal De Fonoaudiologia. Quantitativo de fonoaudiólogos no Brasil por CRF. 2023b. Disponível em: [link]. Acesso em: 18 jul. 2024.
de Mello, B.H., Rigo, S.J., da Costa, C.A. et al. Semantic interoperability in health records standards: a systematic literature review. Health Technol. 12, 255–272 (2022). DOI: 10.1007/s12553-022-00639-w
IBGE – Instituto Brasileiro De Geografia E Estatística. Pessoas com deficiência auditiva, por sexo e situação do domicílio. 2019. Disponível em: [link]. Acesso em: 18 jul. 2024.
Lesica, N. A.; Mehta, N.; Manjaly, J. G.; Deng, L.; Wilson, B. S.; Zeng, F.-G. Harnessing the power of artificial intelligence to transform hearing healthcare and research. Nature Machine Intelligence, v. 3, p. 840–849, 2021. DOI: 10.1038/s42256-021-00394-z.
Triantafyllopoulos, A.; Kathan, A.; Baird, A.; Christ, L.; Gebhard, A.; Gerczuk, M.; Karas, V.; Hübner, T.; Jing, X.; Liu, S.; Mallol-Ragolta, A.; Milling, M.; Ottl, S.; Semertzidou, A.; Rajamani, S. T.; Yan, T.; Yang, Z.; Dineley, J.; Amiriparian, S.; Bartl-Pokorny, K. D.; Batliner, A.; Pokorny, F. B.; Schuller, B. W. HEAR4Health: a blueprint for making computer audition a staple of modern healthcare. Frontiers in Digital Health, v. 5, 2023. DOI: 10.3389/fdgth.2023.1196079.
Wasmann, J. W. A.; Lanting, C. P.; Huinck, W. J.; Mylanus, E. A. M.; Van Der Laak, J. W. M.; Govaerts, P. J.; Swanepoel, D. W.; Moore, D. R.; Barbour, D. L. Computational Audiology: New Approaches to Advance Hearing Health Care in the Digital Age. Ear & Hearing, 2021. Disponível em: DOI: 10.1097/AUD.0000000000001041. Acesso em: 18 jul. 2024
Published
2025-06-09
How to Cite
FERREIRA, Ana Paula Lopes de Abreu; REDAELLI, Emir; MALDANER, Luis Felipe; RIGO, Sandro José.
Innovation and Transformation in the Hearing Health Ecosystem: Artificial Intelligence and Interoperability. In: BRAZILIAN SYMPOSIUM ON COMPUTING APPLIED TO HEALTH (SBCAS), 25. , 2025, Porto Alegre/RS.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 985-990.
ISSN 2763-8952.
DOI: https://doi.org/10.5753/sbcas.2025.7015.
