SOUND, TECHNOLOGY, AND HEALING: EXPLORING MUSIC THERAPY IN HEALTHCARE
DOI:
https://doi.org/10.29121/shodhkosh.v7.i3s.2026.7446Keywords:
Music Therapy, Sound Healing, Healthcare Technology, Digital Health Systems, Artificial Intelligence, Wearable Sensors, Neurological Rehabilitation, Immersive Therapeutic EnvironmentsAbstract [English]
The growing popularity of music therapy as a complementary treatment option in the contemporary healthcare system is associated with the capacity of this method to promote emotional, psychological, and physiological health. By combining the sound-based therapeutic practice with the new digital technology, the application has opened new possibilities of making the music therapy interventions more effective and more accessible. This paper analyzes the interface of sound, technology, and healing through the aspects of music therapy within the medical facility context and the possibilities of technology-based systems of therapeutic assistants. The paper involves itself in the history and theories of music therapy, and highlights the psychological and neurological processes involved in the human health in the sound process. An in-depth survey of the literature available points at the clinical usability of music therapy in mental health care, neurological rehabilitation, pain control, and patient care. The study is also exploring the potential of the emerging technologies, such as digital audio processing, wearable health sensors, artificial intelligence, mobile health applications, and immersive virtual environments, in assisting personalized music therapy intervention. The technologies allow creating adaptive therapeutic systems that react on patient physiological indications and emotional conditions in real-time. On the basis of this analysis, the paper will present a technology-based model of music therapy aimed at incorporating patient monitoring, generating therapeutic music, interactive feedback systems, and connecting with healthcare systems. The framework that is offered to be implemented will contribute to better patient interactions, increased therapy customization, and the possibility to evaluate the effectiveness of therapy using the data. In addition, the paper addresses the measures of evaluation of clinical ecoefficiency, usability, and ethical evaluation of technology-based music therapeutic systems. Some obstacles facing the therapeutic music design process like technological awareness, cultural sensitivity, therapeutic music design protocols, and standardization of therapeutic protocols are also discussed. The results indicate that the combination of modern technologies and music therapy procedures can greatly increase the opportunities of sound-based medicine in healthcare. The future of research is in creation of AI-controlled individualized music therapy systems, immersive therapeutic spaces, and standardized clinical models that will enable the further integration of music therapy into the modern healthcare systems.
References
Altenmüller, E., and Schlaug, G. (2013). Neurologic Music Therapy: The Beneficial Effects of Music Making on Neurorehabilitation. Acoustical Science and Technology, 34, 5–12. https://doi.org/10.1250/ast.34.5 DOI: https://doi.org/10.1250/ast.34.5
Brancatisano, O., Baird, A., and Thompson, W. F. (2020). Why is Music Therapeutic for Neurological Disorders? The Therapeutic Music Capacities Model. Neuroscience and Biobehavioral Reviews, 112, 600–615. https://doi.org/10.1016/j.neubiorev.2020.02.008 DOI: https://doi.org/10.1016/j.neubiorev.2020.02.008
Campbell, M., et al. (2020). Synthesis Without Meta-Analysis (SWiM) in Systematic Reviews: Reporting Guideline. BMJ, 368, l6890. https://doi.org/10.1136/bmj.l6890 DOI: https://doi.org/10.1136/bmj.l6890
De Witte, M., Pinho, A. D. S., Stams, G. J., Moonen, X., Bos, A. E., and Van Hooren, S. (2022). Music Therapy for Stress Reduction: A Systematic Review and Meta-Analysis. Health Psychology Review, 16, 134–159. https://doi.org/10.1080/17437199.2020.1846580 DOI: https://doi.org/10.1080/17437199.2020.1846580
Dhaku Jadhav, K., Majumdar, R., Ahmad Khanday, S., Sarvade, N., Musaev, U., and Akhmedov, S. (2025). Mapping Collaborative Governance for Effective Community Engagement in Urban Hygiene Campaigns. Waterlines, 43(1), 34–43. https://doi.org/10.3362/waterlines.v43i1.36 DOI: https://doi.org/10.3362/1756-3488.25-00004
Golcha, R., Khobragade, P., and Talekar, A. (2024). Multimodal Deep Learning for Advanced Health Monitoring: A Comprehensive Approach for Enhanced Precision and Early Disease Detection. In 2024 5th International Conference on Innovative Trends in Information Technology (ICITIIT) ( 1–6). https://doi.org/10.1109/ICITIIT61487.2024.10580622 DOI: https://doi.org/10.1109/ICITIIT61487.2024.10580622
Grau-Sánchez, J., Jamey, K., Paraskevopoulos, E., Dalla Bella, S., Gold, C., Schlaug, G., Belleville, S., Rodríguez-Fornells, A., Hackney, M. E., and Särkämö, T. (2022). Putting Music to Trial: Consensus on Key Methodological Challenges Investigating Music-Based Rehabilitation. Annals of the New York Academy of Sciences, 1518, 12–24. https://doi.org/10.1111/nyas.14892 DOI: https://doi.org/10.1111/nyas.14892
Hazarika, I., Alulama, I. A., Matar, H. S., Ibrahim, M. M., and Albannai, H. Y. (2023). An Analytical Study on the Impact of COVID-19 on CSR and Sustainability from UAE Perspective. Journal of Namibian Studies, 33, 1451.
Howlett, J. R., Nelson, L. D., and Stein, M. B. (2022). Mental Health Consequences of Traumatic Brain Injury. Biological Psychiatry, 91, 413–420. https://doi.org/10.1016/j.biopsych.2021.09.024 DOI: https://doi.org/10.1016/j.biopsych.2021.09.024
Karule, K. P., Sapkal, V., Mirajkar, G., Babajanov, M., Tajne, P., Ahire, L. K., and Qushnazarova, U. (2025). Leveraging Transfer Learning Techniques for Automated Tuberculosis Classification on Chest X-Ray. Indian Journal of Tuberculosis, 72, S512–S530. https://doi.org/10.1016/j.ijtb.2025.11.015 DOI: https://doi.org/10.1016/j.ijtb.2025.11.015
Lena, F., Modugno, N., Greco, G., Torre, M., Cesarano, S., Santilli, M., Abdullahi, A., Giovannico, G., and Etoom, M. (2023). Rehabilitation Interventions for Improving Balance in Parkinson’s Disease: A Narrative Review. American Journal of Physical Medicine and Rehabilitation, 102, 270–274. https://doi.org/10.1097/PHM.0000000000002077 DOI: https://doi.org/10.1097/PHM.0000000000002077
Mercier, L. J., Langelier, D. M., Buchanan, J., Robinson, S., and Plamondon, S. (2024). Development and Integration of a Music Therapy Program in the Neurologic Inpatient Setting: A Qualitative Study. Disability and Rehabilitation, 47, 2304–2313. https://doi.org/10.1080/09638288.2024.2393439 DOI: https://doi.org/10.1080/09638288.2024.2393439
Moreno-Morales, C., Calero, R., Moreno-Morales, P., and Pintado, C. (2020). Music Therapy in the Treatment of Dementia: A Systematic Review and Meta-Analysis. Frontiers in Medicine, 7, 160. https://doi.org/10.3389/fmed.2020.00160 DOI: https://doi.org/10.3389/fmed.2020.00160
Murtaugh, B., Morrissey, A. M., Fager, S., Knight, H. E., Rushing, J., and Weaver, J. (2024). Music, Occupational, Physical, and Speech Therapy Interventions for Patients in Disorders of Consciousness: An Umbrella Review. NeuroRehabilitation, 54, 109–127. https://doi.org/10.3233/NRE-230149 DOI: https://doi.org/10.3233/NRE-230149
Raglio, A., Zaliani, A., Baiardi, P., Bossi, D., Sguazzin, C., Capodaglio, E., Imbriani, C., Gontero, G., and Imbriani, M. (2017). Active Music Therapy Approach for Stroke Patients in the Post-Acute Rehabilitation. Neurological Sciences, 38, 893–897. https://doi.org/10.1007/s10072-017-2827-7 DOI: https://doi.org/10.1007/s10072-017-2827-7
Rawandale, U. S., Ganorkar, S. R., and Kolte, M. T. (2024). Variable-Bandwidth Noise Filtering Mechanism for the Hearing Aid System. In A. Katti and R. K. Chourasia (Eds.), Advances in Photonics and Electronics ( XX–XX). Springer. https://doi.org/10.1007/978-3-031-68038-0_13 DOI: https://doi.org/10.1007/978-3-031-68038-0_13
Thompson, N., Iyemere, K., Underwood, B. R., and Odell-Miller, H. (2023). Investigating the Impact of Music Therapy on Two in-Patient Psychiatric Wards for People Living with Dementia: Retrospective Observational Study. BJPsych Open, 9, e42. https://doi.org/10.1192/bjo.2023.20 DOI: https://doi.org/10.1192/bjo.2023.20
Varagani, S. H. N. S. (2026). Applications of AI and Quantum Computing in Healthcare. IJRAET, 14(2), 74–85. https://doi.org/10.65521/ijacect.v14i2.1525 DOI: https://doi.org/10.65521/ijacect.v14i2.1525
Vasanthan, R., and Nandhini, R. (2014). Activities Based Content for Language Teaching at the College Level: An Indian Classroom Perspective. Man in India, 94(4), 987–995.
Venkata, S. B., Ashirova, A., Karwande, V. S., Aruna, T., Kholiyarov, E., and Singh, S. (2025). Towards Accurate Maritime Surveillance: A Hybrid CNN-Transformer Architecture for Ship Detection in SAR Imagery. In Proceedings of the International Conference on Innovations in Intelligent Systems: Advancements in Computing, Communication, and Cybersecurity (ISAC3 2025). https://doi.org/10.1109/ISAC364032.2025.11156808 DOI: https://doi.org/10.1109/ISAC364032.2025.11156808
Wilson, L., et al. (2021). Understanding the Relationship Between Cognitive Performance and Function in Daily Life After Traumatic Brain Injury. Journal of Neurology, Neurosurgery and Psychiatry, 92, 407–417. https://doi.org/10.1136/jnnp-2020-324492 DOI: https://doi.org/10.1136/jnnp-2020-324492
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Nisha Wankhade, Sharmishtha K. Garud, Kiran Bibhishan Naikwadi , Dr. E. Rajesh, Ashifa Kariveliparambil, Dr. Vijay Suresh Karwande

This work is licensed under a Creative Commons Attribution 4.0 International License.
With the licence CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.
It is not necessary to ask for further permission from the author or journal board.
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.























