DIGITAL TRANSFORMATION IN PUBLIC HEALTH SERVICES ADMINISTRATION: A REVIEW OF DISRUPTIVE TECHNOLOGIES AND THEIR ORGANIZATIONAL IMPACT
Keywords:
telemedicine, interoperability, predictive analytics, automation, cybersecurityAbstract
DOI: https://doi.org/10.46296/gt.v9i17.0334
Abstract
Digital transformation represents a strategic imperative to overcome the efficiency crisis characterizing traditional public health systems. This article presents a narrative literature review analyzing four disruptive technological axes and their impact on healthcare administration: Big Data and predictive analytics, Artificial Intelligence, Blockchain, and Internet of Medical Things (IoMT). The methodology included an exhaustive search in indexed databases (PubMed, Scopus, Web of Science) with rigorous selection criteria focused on administrative implementations and organizational changes in the public sector. Results reveal that Big Data enables the transition from reactive to preventive models through epidemic outbreak prediction and resource optimization; Artificial Intelligence automates bureaucratic processes, freeing healthcare personnel capacity; Blockchain ensures security, traceability, and interoperability of decentralized medical records; and IoMT extends healthcare coverage to underserved areas through telemonitoring. The synergistic integration of these technologies not only improves operational metrics but also entails a profound restructuring of organizational culture, transforming hierarchical structures into more agile collaborative networks. It is concluded that the fundamental challenge does not lie in technological availability, but in the political-administrative will to build interoperable, ethical, and sustainable digital ecosystems that guarantee efficient, equitable, and patient-centered healthcare.
Keywords: telemedicine, interoperability, predictive analytics, automation, cybersecurity.
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Adekunle Oyeyemi Adenyi, Chioma Anthonia Okolo, Tolulope Olorunsogo, & Oloruntoba Babawarun. (2024). Leveraging big data and analytics for enhanced public health decision-making: A global review. GSC Advanced Research and Reviews, 18(2), 450–456. https://doi.org/10.30574/gscarr.2024.18.2.0078
Allán-Baño, G. M., Naranjo-Sagñay, W. C., Zavala-Ponce, C. V., & Sornoza-Parrales, D. (2025). El rol del liderazgo en la creación de una cultura organizacional positiva: Una revisión de la literatura. Revista Científica Arbitrada de Investigación En Comunicación, Marketing y Empresa REICOMUNICAR. ISSN 2737-6354., 8(15), 688–706.
Aparna, Reddy, A. N., V. Sai Rishik Reddy, S. Shirly, & A. Sai Ram. (2025). AI Chatbot for Hospital Management System. International Research Journal on Advanced Engineering Hub (IRJAEH), 3(05), 2553–2558. https://doi.org/10.47392/IRJAEH.2025.0380
Bharath Reddy Baddam. (2025). Cloud Automation in Healthcare: Faster Onboarding and Better Patient Experiences. Journal of Computer Science and Technology Studies, 7(4), 91–97. https://doi.org/10.32996/jcsts.2025.7.4.10
Bidve, V., Kakakde, K., Sarasu, P., Kediya, S., Tamkhade, P., & Sudarsanan Nair, S. (2023). Patient data management using blockchain technology. Indonesian Journal of Electrical Engineering and Computer Science, 32(3), 1746. https://doi.org/10.11591/ijeecs.v32.i3.pp1746-1754
Borges Do Nascimento, I. J., Marcolino, M. S., Abdulazeem, H. M., Weerasekara, I., Azzopardi-Muscat, N., Gonçalves, M. A., & Novillo-Ortiz, D. (2021). Impact of Big Data Analytics on People’s Health: Overview of Systematic Reviews and Recommendations for Future Studies. Journal of Medical Internet Research, 23(4), e27275. https://doi.org/10.2196/27275
Carlos Ferreira, J., Elvas, L. B., Correia, R., & Mascarenhas, M. (2024). Enhancing EHR Interoperability and Security through Distributed Ledger Technology: A Review. Healthcare, 12(19), 1967. https://doi.org/10.3390/healthcare12191967
Castagno, S., & Khalifa, M. (2020). Perceptions of Artificial Intelligence Among Healthcare Staff: A Qualitative Survey Study. Frontiers in Artificial Intelligence, 3, 578983. https://doi.org/10.3389/frai.2020.578983
Cogiel, K., Sawina, A., Guzowska, A., Lau, K., & Kasperczyk, J. (2025). Managing chronic disease in the digital era: The role of telemedicine apps and platforms. Przeglad Epidemiologiczny. https://doi.org/10.32394/pe/203948
Damilola Oluwaseun Ogundipe. (2024). THE IMPACT OF BIG DATA ON HEALTHCARE PRODUCT DEVELOPMENT: A THEORETICAL AND ANALYTICAL REVIEW. International Medical Science Research Journal, 4(3), 341–360. https://doi.org/10.51594/imsrj.v4i3.932
Domb, M., Joshi, S., & Singh, A. (2024). Empowering Healthcare Administration by Embedding Robotic Process Automation. International Journal of Biomedical Research & Practice, 4(4). https://doi.org/10.33425/2769-6294.1037
Dong, J., Wu, H., Zhou, D., Li, K., Zhang, Y., Ji, H., Tong, Z., Lou, S., & Liu, Z. (2021). Application of Big Data and Artificial Intelligence in COVID-19 Prevention, Diagnosis, Treatment and Management Decisions in China. Journal of Medical Systems, 45(9), 84. https://doi.org/10.1007/s10916-021-01757-0
Durneva, P., Cousins, K., & Chen, M. (2020). The Current State of Research, Challenges, and Future Research Directions of Blockchain Technology in Patient Care: Systematic Review. Journal of Medical Internet Research, 22(7), e18619. https://doi.org/10.2196/18619
Eguez Morales, J., Santistevan Villacreses, K., Sornoza-Parrales, D., & Parrales Poveda, M. L. (2025). Calidad del servicio y satisfacción del paciente: Modelo SERVQUAL en el Centro de Salud Jipijapa, Ecuador. Revista de Ciencias Sociales. https://doi.org/10.31876/rcs.v31i4.44873
Elangovan, D., Long, C. S., Bakrin, F. S., Tan, C. S., Goh, K. W., Yeoh, S. F., Loy, M. J., Hussain, Z., Lee, K. S., Idris, A. C., & Ming, L. C. (2022). The Use of Blockchain Technology in the Health Care Sector: Systematic Review. JMIR Medical Informatics, 10(1), e17278. https://doi.org/10.2196/17278
Esmaeilzadeh, P., & Mirzaei, T. (2019). The Potential of Blockchain Technology for Health Information Exchange: Experimental Study From Patients’ Perspectives. Journal of Medical Internet Research, 21(6), e14184. https://doi.org/10.2196/14184
Fatoum, H., Hanna, S., Halamka, J. D., Sicker, D. C., Spangenberg, P., & Hashmi, S. K. (2021). Blockchain Integration With Digital Technology and the Future of Health Care Ecosystems: Systematic Review. Journal of Medical Internet Research, 23(11), e19846. https://doi.org/10.2196/19846
Geneva Tamunobarafiri Igwama, Ejike Innocent Nwankwo, Ebube Victor Emeihe, & Mojeed Dayo Ajegbile. (2024). AI and big data analytics for enhancing public health surveillance in rural communities. International Journal of Applied Research in Social Sciences, 6(8), 1797–1823. https://doi.org/10.51594/ijarss.v6i8.1427
Gupta, S., Mehra, P., Nandy, B., Mohammed, P. R., Pradhan, P. K., Duseja, S., Sharma, N., & Pujari, P. R. (2025). Blockchain in Health Care, Evolutionary or Revolutionary – An Evidence-Based Review. Journal of Pharmacy and Bioallied Sciences, 17(Suppl 1), S63–S65. https://doi.org/10.4103/jpbs.jpbs_672_24
Heffernan, M., Mittal, R., & Tafuto, B. (2025). Implications of Mobile Technology on Hospitalization Rates in Medically Underserved Areas Worldwide: A Systematic Review. Cureus. https://doi.org/10.7759/cureus.78409
Hernandez-Sampieri, R., & Mendoza, C. (2018). Metodología de la investigación: Las rutas cuantitativa, cualitativa y mixta. In McGraw Hill Mexico.
Iyer, P., Sarkar, A., Prakash, K., & Fathimal, P. M. (2023). Medical Diagnosis through Chatbots. 335–343. https://doi.org/10.4028/p-r4i40i
Karim, M. K., Sharma, R., & Singh, V. (2023). The Role of AI-Powered Chatbots in Telemedicine: Improving Accessibility and Patient Engagement. International Journal of Technology and Modeling, 2(1), 1–12. https://doi.org/10.63876/ijtm.v2i1.108
Kumar, D. (2024). AI-DRIVEN AUTOMATION IN ADMINISTRATIVE PROCESSES: ENHANCING EFFICIENCY AND ACCURACY. International Journal of Engineering Science and Humanities, 14(Special Issue 1), 256–265. https://doi.org/10.62904/qg004437
Lopez, B. S., & Alcaide, A. V. (2020). Blockchain, Artificial Intelligence, Internet of Things to Improve Governance, Financial Management and Control of Crisis: Case Study COVID-19. SocioEconomic Challenges, 4(2), 78–89. https://doi.org/10.21272/sec.4(2).78-89.2020
Mayer, A. H., Da Costa, C. A., & Righi, R. D. R. (2020). Electronic health records in a Blockchain: A systematic review. Health Informatics Journal, 26(2), 1273–1288. https://doi.org/10.1177/1460458219866350
Morcillo, C., Morcillo, C., & González Romero, J. L. (2020). Efficiency of Connected Health Telemonitoring Platform for Patients with High Blood Pressure. Journal of Integrative Cardiology Open Access, 1–4. https://doi.org/10.31487/j.JICOA.2020.03.09
Nadarzynski, T., Miles, O., Cowie, A., & Ridge, D. (2019). Acceptability of artificial intelligence (AI)-led chatbot services in healthcare: A mixed-methods study. DIGITAL HEALTH, 5, 2055207619871808. https://doi.org/10.1177/2055207619871808
Naik, N., Hameed, B. M. Z., Sooriyaperakasam, N., Vinayahalingam, S., Patil, V., Smriti, K., Saxena, J., Shah, M., Ibrahim, S., Singh, A., Karimi, H., Naganathan, K., Shetty, D. K., Rai, B. P., Chlosta, P., & Somani, B. K. (2022). Transforming healthcare through a digital revolution: A review of digital healthcare technologies and solutions. Frontiers in Digital Health, 4, 919985. https://doi.org/10.3389/fdgth.2022.919985
Pincay Pilay, M. M., Vera Pisco, D. G., Sornoza-Parrales, D., Véliz Castro, T. I., & Quimis-Sánchez, O. A. (2025). Educational modality and performance: Differential patterns by major in a university cohort before, during, and after the COVID-19 pandemic. Salud, Ciencia y Tecnología, 5, 2266–2266. https://doi.org/10.56294/saludcyt20252266
Rosário, A. T., & Dias, J. C. (2022). Impact of Big Data Analysis on Health. SOCIAL SCIENCES. https://doi.org/10.20944/preprints202203.0407.v1
Salathé, M. (2016). Digital Pharmacovigilance and Disease Surveillance: Combining Traditional and Big-Data Systems for Better Public Health. Journal of Infectious Diseases, 214(suppl 4), S399–S403. https://doi.org/10.1093/infdis/jiw281
Sharma, V. (2024). AI-powered RPA in healthcare: Reducing costs and improving patient outcomes. International Journal of Multidisciplinary Research and Growth Evaluation, 5(1), 1004–1011. https://doi.org/10.54660/.IJMRGE.2024.5.5.1072-1079
Sornoza-Parrales, D., Vera Pisco, D., Pincay Pilay, M. M., & Parrales Poveda, M. L. (2025). Bibliometric Analysis of IoT-Based Technologies for Health Monitoring: Trends, Impact, and Key Findings (2014-2024). Salud, Ciencia y Tecnología, 5, 1060. https://doi.org/10.56294/saludcyt20251060
Syrowatka, A., Kuznetsova, M., Alsubai, A., Beckman, A. L., Bain, P. A., Craig, K. J. T., Hu, J., Jackson, G. P., Rhee, K., & Bates, D. W. (2021). Leveraging artificial intelligence for pandemic preparedness and response: A scoping review to identify key use cases. Npj Digital Medicine, 4(1), 96. https://doi.org/10.1038/s41746-021-00459-8
Talaat, F. M., & El-Balka, R. M. (2023). Stress monitoring using wearable sensors: IoT techniques in medical field. Neural Computing and Applications, 35(25), 18571–18584. https://doi.org/10.1007/s00521-023-08681-z
Wen, C., Liu, W., He, Z., & Liu, C. (2023). Research on emergency management of global public health emergencies driven by digital technology: A bibliometric analysis. Frontiers in Public Health, 10, 1100401. https://doi.org/10.3389/fpubh.2022.1100401
Xie, Y., Zhang, J., Wang, H., Liu, P., Liu, S., Huo, T., Duan, Y.-Y., Dong, Z., Lu, L., & Ye, Z. (2021). Applications of Blockchain in the Medical Field: Narrative Review. Journal of Medical Internet Research, 23(10), e28613. https://doi.org/10.2196/28613
Yan, Z., Bernardi, R., Huang, N., & Chang, Y. (2021). Guest editorial: The bright side and the dark side of digital health. Internet Research, 31(6), 1993–1999. https://doi.org/10.1108/INTR-12-2021-682
Yusuf, A., Olaniyan, L., Ayobami, H. S., Oluwakemi, A. K. H., & Igbin, L. A. (2025). The Role of Technology in Enhancing Healthcare Administration and Service Delivery. CogNexus, 1(02), 37–50. https://doi.org/10.63084/cognexus.v1i02.77
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