AI and Telemedicine in Elderly Healthcare: A Statistical Analysis

Authors

  • S. Srinivasan Department of Social Work, Khajamalai Campus, Bharathidasan University, Tiruchirappalli, Tamil Nadu, Department of Humanities and Social Sciences, Graphic Era (Deemed to be) University, Dehradun
  • N. Rajavel Department of Social Work, Khajamalai Campus, Bharathidasan University, Tiruchirappalli, Tamil Nadu
  • Ajay Kumar Singh Department of Humanities and Social Sciences, Graphic Era (Deemed to be) University, Dehradun

DOI:

https://doi.org/10.13052/jrss0974-8024.19212

Keywords:

Telemedicine, healthcare, older adults, digital consultations, early diagnosis

Abstract

The manuscript examines the role of Artificial Intelligence (AI) and telemedicine in Improving healthcare access and services for older adults. The study focuses on digital consultations and early diagnosis and employs a descriptive research design. Data were collected from 120 older adults in rural and urban areas of Dehradun, Uttarakhand. The analysis uses statistical techniques including descriptive statistics, regression analysis, ANOVA, and chi-square tests through SPSS to evaluate telemedicine usage, challenges, and satisfaction levels among older adults.

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Author Biographies

S. Srinivasan, Department of Social Work, Khajamalai Campus, Bharathidasan University, Tiruchirappalli, Tamil Nadu, Department of Humanities and Social Sciences, Graphic Era (Deemed to be) University, Dehradun

S. Srinivasan has recently joined the Department of Humanities and Social Sciences at Graphic Era (Deemed to be University) as an Assistant Professor. Pursuing PhD in Bharathidasan University, Department of social work, Trichy, Tamil Nadu. With a wealth of experience, Mr. Srinivasan has accumulated 10 years of extensive teaching and field-level expertise. Prior to his current role, he served in the Ministry of Health and Family Welfare, Government of India, and gained valuable experience. He also contributed as a Guest Faculty at the 22 University level and served for nearly 2 years in the State Government Public Works Department as a Mobilization Training Specialist. In the past year, Mr. S. Srinivasan has enriched his experience by actively participating in a Tuberculosis project funded by GFATM and USAID, providing a platform for further exploration of his research, and practical field-based knowledge. His scholarly contributions include publishing 60 papers, with 15 more under peer review in various UGC-Care, SCOPUS, and peer-reviewed journals. Mr. S. Srinivasan has also actively participated in 10 different training programs, including an ICSSR research methodology course, a Workshop on Scientific Writing and Publication, Applications of SPSS in Social Science Research and Training of Trainers in life skill education. Furthermore, he has presented papers at 4 state-level conferences, 10 national conferences, and 15 international conferences. He has also presented and participated in various online international conferences.

N. Rajavel, Department of Social Work, Khajamalai Campus, Bharathidasan University, Tiruchirappalli, Tamil Nadu

N. Rajavel (Rajavel Natesan), MSW, M.Phil, Ph.D., UGC-NET, is currently serving as an Assistant Professor in the Department of Social Work at Bharathidasan University, Tiruchirappalli – 23, India. He holds a Ph.D. in Social Work from Bharathidasan University, completed in 2017, with his doctoral thesis focusing on “Basic Services to Urban Poor in JNNURM Scheme: A Study on Coimbatore City Municipal Corporation.” He earned his M.Phil in Social Work from Sri Ramakrishna Mission Vidyalaya College of Arts & Science, Coimbatore (affiliated to Bharathiar University) in 2005, following his Master of Social Work (M.S.W) in 2000 from the same institution. His academic journey began with a B.Sc in Botany from P.S.G College of Arts & Science, Coimbatore, affiliated to Bharathiar University, in 1998.

Dr. Rajavel cleared the UGC-NET Lectureship examination in June 2006. He brings with him 13 years of teaching experience and 18 years of research experience. His academic and research interests include community development, urban community development, livelihood promotion, and community mental health. He has also gained international exposure through the Linnaeus Palme Fellowship in 2022 and participated in the Faculty Exchange Program with University West, Sweden. Apart from his teaching and research responsibilities, he actively contributes to academic administration in various roles such as Field Work Coordinator, Extension Coordinator, and Academic Coordinator.

Ajay Kumar Singh, Department of Humanities and Social Sciences, Graphic Era (Deemed to be) University, Dehradun

Ajay K. Singh is working as an Associate Professor (Research) in the Department of Humanities and Social Sciences, Graphic Era (Deemed to be University) Dehradun. He has worked as Assistant Professor (Economics) in the School of Liberal Arts & Management, DIT University Dehradun for 6 years. He did Post-Doctorate Research with EDI of India, Ahmedabad, Gujarat (India). He received MPhil (Economics) from DAVV Indore (India), and PhD (Economics) from IIT Indore (India. He has published several research papers in the diversified area such as climate change, agricultural productivity, assessment of food security; estimation of GFSI, development of environmental sustainability index (ESI) and its association with socio-economic indicators; measurement and determinants of entrepreneurship ecosystem, and dimension of sustainable development and its interlinkages with economic development.

References

Abadir, P. M., Chellappa, R., Choudhry, N., Demiris, G., Ganesan, D., Karlawish, J., Li, R. M., Moore, J. H., Walston, J. D., and Directors & Advisors of the AITCs Marlin Benjamin 7 Dehak Najim 2 Arbaje Alicia I. 1 Unberath Mathias 2 Cudjoe Thomas KM 1 Saria Suchi 2 Oh Esther 1 Lundebjerg Nancy 10 Chute Christopher G. 1 Phan Phillip 1 11 Samus Quincy 1 Schoenborn Nancy L. 1. (2023). The promise of AI and technology to improve quality of life and care for older adults. Nature aging, 3(6), 629–631. https://doi.org/10.1038/s43587-023-00430-0.

Abdel-Wahab, M., Rosenblatt, E., Prajogi, B., Zubizarretta, E., and Mikhail, M. (2020). Opportunities in telemedicine, lessons learned after COVID-19 and the way into the future. International Journal of Radiation Oncology* Biology* Physics, 108(2), 438–443. https://doi.org/10.1016/j.ijrobp.2020.07.006.

Aramrat, C., Choksomngam, Y., Jiraporncharoen, W., Wiwatkunupakarn, N., Pinyopornpanish, K., Mallinson, P. A. C., Kinra, S., and Angkurawaranon, C. (2022). Advancing multimorbidity management in primary care: a narrative review. Primary health care research & development, 23, e36. doi: https://doi.org/10.1017/S1463423622000238.

Assing Hvidt, E., Søndergaard, J., Klausen, M., and Grønning, A. (2020). Not just an information-delivery tool. An ethnographic study exploring Danish GPs’ perspectives on and experiences with the relational potential of email consultation. Scandinavian Journal of Primary Health Care, 38(4), 411–420. https://doi.org/10.1080/02813432.2020.1843939.

Bãjenaru, L., Marinescu, I. A., Dobre, C., Drãghici, R., Herghelegiu, A. M., and Rusu, A. (2020). Identifying the needs of older people for personalized assistive solutions in Romanian healthcare system. Studies in Informatics and Control, 29(3), 363–372. https://doi.org/10.24846/v29i3y202009.

Batsis, J. A., DiMilia, P. R., Seo, L. M., Fortuna, K. L., Kennedy, M. A., Blunt, H. B., Bagley, P. J., Brooks, J., Brooks, E., Kim, S. Y., Masutani, R. K., Bruce, M. L., and Bartels, S. J. (2019). Effectiveness of ambulatory telemedicine care in older adults: a systematic review. Journal of the American Geriatrics Society, 67(8), 1737–1749. https://doi.org/10.1111/jgs.15959.

Bryce, C., O’Connell, M. D., Dale, J., Underwood, M., and Atherton, H. (2021). Online and telephone access to general practice: a cross-sectional patient survey. BJGP open, 5(4). https://doi.org/10.3399/BJGPO.2020.0179.

Chen, C., Ding, S., and Wang, J. (2023). Digital health for aging populations. Nature medicine, 29(7), 1623–1630. https://doi.org/10.1038/s41591-023-02391-8.

Cheshmehzangi, A., Zou, T., Zhang, Y., Chen, H., Su, Z., Dawodu, A., and Xie, L. (2022). Commentary: reflecting on the neglected digital divide barriers of telemedicine during COVID-19. Frontiers in Public Health, 10, 915401. doi: 3389/fmed.2021.646506.

England, N. H. S., and Improvement, N. H. S. (2020). Science in healthcare: Delivering the NHS long term plan. The Chief Scientific Officer’s strategy. https://www.england.nhs.uk/wp-content/uploads/2020/03/science-in-healthcare-delivering-the-nhs-long-term-plan.pdf.

Fadhil, A. (2018). Beyond patient monitoring: Conversational agents role in telemedicine & healthcare support for home-living elderly individuals. arXiv preprint arXiv:1803.06000. https://doi.org/10.48550/arXiv.1803.06000.

Fitzpatrick, P. J. (2023). Improving health literacy using the power of digital communications to achieve better health outcomes for patients and practitioners. Frontiers in Digital Health, 5, 1264780. https://doi.org/10.3389/fdght.2023.1264780.

Grønning, A., Hvidt, E. A., Brøgger, M. N., and Fage-Butler, A. (2020). How do patients and general practitioners in Denmark perceive the communicative advantages and disadvantages of access via email consultations? A media-theoretical qualitative study. BMJ open, 10(10), e039442. https://doi.org/10.1136/bmjopen-2020-039442.

Haleem, A., Javaid, M., Singh, R. P., and Suman, R. (2021). Telemedicine for healthcare: Capabilities, features, barriers, and applications. Sensors international, 2, 100117. https://doi.org/10.1016/j.sintl.2021.100117.

Idowu, M., and William, B. (2025). Revolutionizing Healthcare: The Power of AI, ML, and RPAin End-to-End Digital Transformation. https://www.researchgate.net/profile/Marvel-Idowu/publication/390832371_Revolutionizing_Healthcare_The_Power_of_AI_ML_and_RPA_in_End-to-End_Digital_Transformation/links/67ff8b49bfbe974b23aac44e/Revolutionizing-Healthcare-The-Power-of-AI-ML-and-RPA-in-End-to-End-Digital-Transformation.pdf.

Ingale, V., Wankar, B., Jadhav, K., Adedoja, T., Borate, V. K., and Mali, Y. K. (2024). Healthcare is being revolutionized by AI-powered solutions and technological integration for easily accessible and efficient medical care. In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1–6). IEEE. DOI: 10.1109/ICCCNT61001.2024.10725646.

Ismail, Y., and Ebinezar, S. G. (2025). A Review of Evolution and Applications of Telemedicine in Healthcare. Journal of Pharma Insights and Research, 3(2), 043-052. http://jopir.in/index.php/journals/article/view/368.

Jabarulla, M. Y., and Lee, H. N. (2021). A blockchain and artificial intelligence-based, patient-centric healthcare system for combating the COVID-19 pandemic: Opportunities and applications. In Healthcare (Vol. 9, No. 8, p. 1019). Mdpi. https://doi.org/10.3390/healthcare9081019s.

Jiang, Y., Sun, P., Chen, Z., Guo, J., Wang, S., Liu, F., and Li, J. (2022). Patients’ and healthcare providers’ perceptions and experiences of telehealth use and online health information use in chronic disease management for older patients with chronic obstructive pulmonary disease: a qualitative study. BMC geriatrics, 22, 1–16. https://doi.org/10.1186/s12877-021-02702-z.

Kemp, E., Trigg, J., Beatty, L., Christensen, C., Dhillon, H. M., Maeder, A., Williams, P. A. H., and Koczwara, B. (2021). Health literacy, digital health literacy and the implementation of digital health technologies in cancer care: the need for a strategic approach. Health Promotion Journal of Australia, 3. https://doi.org/10.1002/hpja.387.

Kruse, C., Fohn, J., Wilson, N., Patlan, E. N., Zipp, S., and Mileski, M. (2020). Utilization barriers and medical outcomes commensurate with the use of telehealth among older adults: systematic review. JMIR medical informatics, 8(8), e20359. doi:10.2196/20359.

Lamba, Y., and Srinivasan, S. (2025). Digital Strategies to Help the Elderly Access Government Services. In Startup-Driven E-Government: Digital Innovation for Sustainable Ecosystems (pp. 273–306). IGI Global Scientific Publishing. DOI: 10.4018/979-8-3373-0817-3.ch011.

Lee, H. Y., Choi, E. Y., Kim, Y., Neese, J., and Luo, Y. (2020). Rural and non-rural digital divide persists in older adults: Internet access, usage, and perception. Innovation in Aging, 4 (Suppl. 1), 412–413. doi:10.1093/geroni/igaa057.1329.

MacRury, S., Stephen, K., Main, F., Gorman, J., Jones, S., and Macfarlane, D. (2018). Reducing amputations in people with diabetes (RAPID): evaluation of a new care pathway. International Journal of Environmental Research and Public Health, 15(5), 999. https://doi.org/10.3390/ijerph15050999.

Mold, F., Hendy, J., Lai, Y. L., and de Lusignan, S. (2019). Electronic consultation in primary care between providers and patients: systematic review. JMIR medical informatics, 7(4), e13042. doi:10.2196/13042.

Monaco, A., Maggi, S., De Cola, P., Hassan, T. A., Palmer, K., and Donde, S. (2019). Information and communication technology for increasing healthy ageing in people with non-communicable diseases: identifying challenges and further areas for development. Aging Clinical and Experimental Research, 31(11), 1689–1693. https://doi.org/10.1007/s40520-019-01258-8.

Monaco, A., Palmer, K., Holm Ravn Faber, N., Kohler, I., Silva, M., Vatland, A., Griensven, J. V., Votta, M., Walsh, D., Clay, V., Yazicioglu, M. C., Ducinskiene, D., and Donde, S. (2021). Digital health tools for managing noncommunicable diseases during and after the COVID-19 pandemic: perspectives of patients and caregivers. Journal of Medical Internet Research, 23(1), e25652. doi:10.2196/25652.

Nelson, R. (2017). Telemedicine and telehealth: the potential to improve rural access to care. AJN The American Journal of Nursing, 117(6), 17–18. DOI:10.1097/01.NAJ.0000520244.60138.1c.

Oladimeji, A. S., and Ibidoja, O. J. (2020). The Distribution of Service Time of Patients. Journal of reliability and statistical studies, 61–72. https://doi.org/10.13052/jrss0974-8024.1313.

Omboni, S., Padwal, R. S., Alessa, T., Benczúr, B., Green, B. B., Hubbard, I., Kari, K., Khan, N. A., Konradi, A., Logan, A. G., Lu, Y., Mars, M., McManus, R. J., Melville, S., Neumann, C. L., Parati, G., Renna, N. F., Ryvlin, P., Saner, H., Schutte, A. E., and Wang, J. (2022). The worldwide impact of telemedicine during COVID-19: current evidence and recommendations for the future. Connected health, 1, 7. doi:10.20517/ch.2021.03.

Perez, K., Wisniewski, D., Ari, A., Lee, K., Lieneck, C., and Ramamonjiarivelo, Z. (2025). Investigation into Application of AI and Telemedicine in Rural Communities: A Systematic Literature Review. In Healthcare (Vol. 13, No. 3, p. 324). MDPI. https://doi.org/10.3390/healthcare13030324.

Pieczynski, J., Kuklo, P., and Grzybowski, A. (2021). The role of telemedicine, in-home testing and artificial intelligence to alleviate an increasingly burdened healthcare system: Diabetic retinopathy. Ophthalmology and therapy, 10(3), 445–464. https://doi.org/10.1007/s40123-021-00353-2.

Reducing amputations in people with diabetes (RAPID): Evaluation of a new care pathway. International Journal of Environmental Research and Public Health, 15(5).

Rony, M. K. K., Parvin, M. R., Wahiduzzaman, M., Akter, K., and Ullah, M. (2024). Challenges and advancements in the health-related quality of life of older people. Advances in Public Health, 2024(1), 8839631. https://doi.org/10.1155/2024/8839631.

Rosen, R., Wieringa, S., Greenhalgh, T., Leone, C., Rybczynska-Bunt, S., Hughes, G., Moore, L., Shaw, S. E., Wherton, J., and Byng, R. (2022). Clinical risk in remote consultations in general practice: findings from in-COVID-19 pandemic qualitative research. BJGP open, 6(3). https://doi.org/10.3399/BJGPO.2021.0204.

Rush, K. L., Singh, S., Seaton, C. L., Burton, L., Li, E., Jones, C., Davis, J. C., Hasan, K., Kern, B., and Janke, R. (2022). Telehealth use for enhancing the health of rural older adults: a systematic mixed studies review. The Gerontologist, 62(10), e564–e577. https://doi.org/10.1093/geront/gnab141.

Shagerdi, G., Ayatollahi, H., and Hemmat, M. (2022). Emergency care for the elderly: a review of the application of health information technology. Health Policy and Technology, 11(1), 100592. https://doi.org/10.1016/j.hlpt.2021.100592.

Sharma, P., Adichwal, N. K., and Singh, A. K. (2022). Knowledge and Awareness of COVID-19 in Uttar Pradesh: An Exploratory Data Analysis. Journal of Reliability and Statistical Studies, 535–552. https://doi.org/10.13052/jrss0974-8024.1526.

Shen, Y. T., Chen, L., Yue, W. W., and Xu, H. X. (2021). Digital technology-based telemedicine for the COVID-19 pandemic. Frontiers in medicine, 8, 646506. https://doi.org/10.3389/fmed.2021.646506.

Smith, S. M., Wallace, E., O’Dowd, T., and Fortin, M. (2016). Interventions for improving outcomes in patients with multimorbidity in primary care and community settings. Cochrane Database of Systematic Reviews, (3). https://doi.org/10.1002/14651858.CD006560.pub3.

Srinivasan, S., and Rajavel, N. (2025). Technology Improves the Quality of Life for Elderly People. In Perspectives on the Economics of Aging (pp. 109–150). IGI Global Scientific Publishing. DOI: 10.4018/979-8-3693-7753-6.ch005.

Srinivasan, S., Vallipriya, R., and Singh, A. K. (2026). Assistive Devices and Socioeconomic, Health, and Stigma Issues Among Older Adults in Rural and Urban Dehradun. In Global Stigmas and Attitudes Towards Persons With Disabilities (pp. 189–224). IGI Global Scientific Publishing. DOI:10.4018/979-8-3693-9291-1.ch007.

Srinivasan, S., and Vallipriya, R. (2025). Intercultural Communication: An Effective Strategy for the Patient Physician Relationship. In Cases on Physician Cultural Responsibility, Ethics, and Biases (pp. 171–192). IGI Global Scientific Publishing. DOI:10.4018/979-8-3693-3683-0.ch008.

Turner, A., Morris, R., Rakhra, D., Stevenson, F., McDonagh, L., Hamilton, F., Atherton, H., Farr, M., Blake, S., Banks, J., Lasseter, G., Ziebland, S., Hyde, E., Powell, J., and Horwood, J. (2021). Unintended consequences of online consultations: a qualitative study in UK primary care. British Journal of General Practice. https://doi.org/10.3399/BJGP.2021.0426.

Wardlow, L., Roberts, C., Archbald-Pannone, L., and Collaborative for Telehealth and Aging. (2023). Perceptions and uses of telehealth in the care of older adults. Telemedicine and e-Health, 29(8), 1143–1151. https://doi.org/10.1089/tmj.2022.0378.

Wilson, J., Heinsch, M., Betts, D., Booth, D., and Kay-Lambkin, F. (2021). Barriers and facilitators to the use of e-health by older adults: a scoping review. BMC public health, 21, 1–12. https://doi.org/10.1186/s12889-021-11623-w.

Wiwatkunupakarn, N., Aramrat, C., Pliannuom, S., Buawangpong, N., Pinyopornpanish, K., Nantsupawat, N., Mallinson, P. A. C., Kinra, S., and Angkurawaranon, C. (2023). The integration of clinical decision support systems into telemedicine for patients with multimorbidity in primary care settings: scoping review. Journal of medical Internet research, 25, e45944. doi:10.2196/45944.

World Health Organization. (2009). WHO guidelines on hand hygiene in health care: First global patient safety challenge clean care is safer care. World Health Organization.

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Published

2026-08-07

How to Cite

Srinivasan, S. ., Rajavel, N. ., & Singh, A. K. . (2026). AI and Telemedicine in Elderly Healthcare: A Statistical Analysis. Journal of Reliability and Statistical Studies, 19(02), 523–554. https://doi.org/10.13052/jrss0974-8024.19212

Issue

2026: Vol 19 Iss 2

Section

Articles