Assessing the Economic Impact of IT-Driven Smart Healthcare Systems in Nigeria
Main Article Content
Abstract
Background: To raise service delivery and lower costs, the healthcare industry is increasingly embracing smart technologies. Central to this revolution are wearable devices, telemedicine, and electronic health records (EHRs). To guide investment and policy decisions, it is nevertheless necessary to grasp their true economic effect on healthcare systems.
Aims: This study seeks to assess the economic consequences of IT-driven smart healthcare technologies particularly EHRs, telemedicine, and wearable devices—on healthcare costs, operational efficiency, and health outcomes. It centers on the economic sustainability of the healthcare industry facilitated by these technologies.
Methods: The study examines the economic effects of these innovations using econometric modeling and cost-benefit analysis. Data were evaluated to assess their effects on decreased hospital readmissions, efficiency gains, and cost savings.
Result: The results indicate that telemedicine and wearable devices come next after EHRs produce the most significant cost savings. These technologies enhance operational efficiency and lower hospital readmission rates as well, therefore positively impacting both healthcare delivery and economic outcomes.
Conclusion: In conclusion, smart healthcare systems provide quantifiable financial advantages. Their acceptance results in less expensive healthcare and more effective service delivery. Among the instruments examined, EHRs exhibit the most influence, followed by wearable technologies and telemedicine. Policymakers and healthcare professionals should keep investing purposefully in these intelligent technologies. To fully realize their economic potential and further improve healthcare delivery systems, ongoing assessment and policy support are vital.
Downloads
Article Details
Copyright (c) 2025 Jamiu Adeniyi Yusuf, Adenegan Micheal Adeyinka, Muhammed Jamiu Abdulrazaq, Gogo Helen Kolo

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
- Authors retain copyright and acknowledge that the Journal of Multidisciplinary Applied Natural Science is the first publisher, licensed under a Creative Commons Attribution License.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges and earlier and greater citation of published work.
References
Brown, A. L., Smith, R. K., & Johnson, T. H. (2023). The impact of wearable health devices on hospital admissions: A chronic disease management perspective. Journal of Preventive Health, 45(3), 341–355. https://doi.org/10.1016/j.jph.2023.04.002
Ford, E. W., Huerta, T. R., Diana, M. L., Kazley, A. S., & Menachemi, N. (2016). Patient satisfaction scores and their relationship to hospital utilization and charges: a multilevel analysis. Health Care Management Review, 41(3), 294–304. https://doi.org/10.1097/HMR.0000000000000076
Gajarawala, S. N., & Pelkowski, J. N. (2021). Telehealth benefits and barriers. The Journal for Nurse Practitioners, 17(2), 218–221. https://doi.org/10.1016/j.nurpra.2020.09.013
Henry J., Pylypchuk Y., Searcy T., Patel V. (2016). Adoption of Electronic Health Record Systems among U.S. Non-Federal Acute Care Hospitals: 2008–2015. Office of the National Coordinator for Health Information Technology; Washington, DC, USA:ONC Data Brief, no.35. https://www.ncbi.nlm.nih.gov/books/NBK612930/
Johnson, M. P., Wang, Y. X., & Torous, J. (2024). Long term cost savings from EHR implementation: Evidence from European healthcare systems. Health Economics Review, 36(2), 123–139. https://doi.org/10.1186/s13561 024 00235 1
Kruse, C. S., Karem, P., Shifflett, K., Vegi, L., Ravi, K., & Brooks, M. (2017). Evaluating barriers to adopting telemedicine worldwide: A systematic review. Journal of Telemedicine and Telecare, 24(1), 4–12. https://doi.org/10.1177/1357633X16674087
Lee, H., & Chen, P. (2024). The economic impact of telemedicine in rural healthcare: A meta analysis. Telemedicine and e Health, 30(1), 25–40. https://doi.org/10.1089/tmj.2023.0234
Lee, K. S., Choi, M., & Kwon, S. (2022). Economic impact of telemedicine in Korea: A cost-benefit analysis. International Journal of Medical Informatics, 158, 104656. https://doi.org/10.1016/j.ijmedinf.2022.104656
McGonigle, D., & Mastrian, K. G. (2017). Nursing Informatics and the Foundation of Knowledge (4th ed.). Jones & Bartlett Learning. Nursing Informatics and the Foundation of Knowledge - Dee McGonigle, Kathleen Mastrian - Google Books
Miller, T. R., Nguyen, L. P., & Rodriguez, D. A. (2023). Digital literacy and data security in healthcare: Challenges for telemedicine and EHR adoption. Journal of Digital Health, 18(4), 501–519. https://doi.org/10.1093/jdh/jdf032
Murphy Z.R., Wang J., Boland M.V. (2020). Association of Electronic Health Record Use Above Meaningful Use Thresholds With Hospital Quality and Safety Outcomes. JAMA Network Open.; 3:e2012529. https://doi.org/10.1001/jamanetworkopen.2020.12529
Nguyen, L. P., Brown, A. L., & Zhang, Y. (2024). Wearable devices in post operative care: A systematic review. Clinical Rehabilitation, 38(2), 129–145. https://doi.org/10.1177/0269215523114235
Olson, K. E., & Jutai, J. W. (2015). Wearable technology for clinical applications: Current and future trends. Smart Homecare Technology and TeleHealth, 3, 29–37. https://doi.org/10.2147/SHTT.S61153
Olukorode, A. F., Adebayo, A. M., & Adeyinka, D. A. (2023). Impact of Electronic Medical Records on Health Care Delivery in Nigeria: A Systematic Review. medRxiv. https://doi.org/10.1101/2023.12.05.23299498
Patel, M. S., Asch, D. A., & Volpp, K. G. (2015). Wearable devices as facilitators, not drivers, of health behavior change. JAMA, 313(5), 459–460. https://doi.org/10.1001/jama.2014.14781
Patel, R. S., & Rodriguez, D. A. (2023). Telemedicine’s role in reducing healthcare costs: A review of current evidence. Health Policy and Technology, 12(4), 405–420. https://doi.org/10.1016/j.hlpt.2023.08.002
Piwek, L., Ellis, D. A., Andrews, S., & Joinson, A. (2016). The rise of consumer health wearables: Promises and barriers. PLoS Medicine, 13(2), e1001953. https://doi.org/10.1371/journal.pmed.1001953
Rogers, E. M. (2003). Diffusion of Innovations (5th ed.). Free Press. Diffusion of Innovations, 5th Edition - Everett M. Rogers - Google Books
Sato, R., Metiboba, L., Galadanchi, J. A., Adeniran, M. F., Hassan, S. H., Akpan, D., ... & Fashoto, B. (2023). Cost analysis of an innovative eHealth program in Nigeria: a case study of the vaccine direct delivery system. BMC Public Health, 23(1), 1691. https://doi.org/10.1186/s12889-023-16575-x
Sawyer George, T. (2023). Evaluation of EMR Implementation in Public Hospitals in South-South Nigeria. African Journal of Information Systems and Technology, 13(1), 74–88. https://doi.org/10.51983/ajist-2023.13.1.3481
Sheikh, A., Sood, H. S., & Bates, D. W. (2015). Leveraging health information technology to achieve the “triple aim” of healthcare reform. Journal of the American Medical Informatics Association, 22(4), 849–856. https://doi.org/10.1093/jamia/ocv022
Smith, R. K., Torous, J., & Johnson, M. P. (2023). Reducing diagnostic redundancies through EHR integration: Cost implications and patient outcomes. Healthcare Management Review, 48(3), 279–294. https://doi.org/10.1097/HMR.0000000000000358
Trout, K. E., Chen, L. W., Wilson, F. A., Tak, H. J., & Palm, D. (2022). The Impact of Meaningful Use and Electronic Health Records on Hospital Patient Safety. International journal of environmental research and public health, 19(19), 12525. https://doi.org/10.3390/ijerph191912525
Trudel M.C., Marsan J., Paré G., Raymond L., de Guinea A.O., Maillet É., Micheneau T. (2017). Ceiling effect in EMR system assimilation: A multiple case study in primary care family practices. BMC Medical Inform Decision Making 17(46) 17-46 https://doi.org/10.1186/s12911-017-0445-1
Wager, K. A., Lee, F. W., & Glaser, J. P. (2017). Health Care Information Systems: A Practical Approach for Health Care Management (4th ed.). John Wiley & Sons. Health Care Information Systems by Karen A. Wager, 5th edition
Wang, Y. X., Lee, H., & Chen, P. (2023). EHRs and operational cost reduction: A U.S. hospital study. American Journal of Health Economics, 9(1), 55–73. https://doi.org/10.1162/ajhe_a_00235
Wang, Y., Zhang, J., & Liu, T. (2023). Health information technology and hospital cost: A panel data analysis. Health Economics Review, 13, 19. https://doi.org/10.1186/s13561-023-00405-4
Zhang, Y., & Nguyen, L. P. (2024). The role of wearable devices in chronic disease management: Economic implications. International Journal of Medical Informatics, 177, 104–116. https://doi.org/10.1016/j.ijmedinf.2024.01.012
Jamiu Adeniyi Yusuf