Blockchain Integration for Secure and Transparent Health Administration System
Keywords:
Blockchain, IT Interoperability, Quality Data, Transparent, SecureAbstract
Objective: This research explores the drivers of the security and transparency of health administration by considering the effects of blockchain adoption, IT interoperability, regulatory compliance, and data quality as well as the role of top management support, which may moderate these drivers, together with staff IT literacy.
Methods: A cross-sectional survey study design was used with validated multi-item scales for technical, organizational and human aspects. Measures were examined via moderated regression analysis to test main and interaction effects.
Results: Evidence, which is based on a sample of 186 companies, shows that heterogeneously absorbed blockchain and data quality have the greatest positive effects on security and transparency. IT interdependence, regulative fit with IT, management support and top, are also important in determining system success. IT competence of staff fosters the impact of technology-based factors, facilitating adoption and usage; the channeling effect of staff IT competence on regulatory and managerial support is less powerful. These results establish the significance of the interaction between technology, organisational support and human competence in optimising health administration systems.
Novelty: This approach to investigating the integrated impact of technology, management and human elements on security and transparency in health administration from a systems perspective is innovative, with staff IT literacy, largely ignored in the preceding literature, as a moderator. It offers new perspectives on how digital tools have reformed government administration and operations.
Implications: The findings contribute to the technology adoption and information governance literature in theory and provide practical guidance to decision makers, healthcare executives, and technology developers in order to establish secure, transparent, and error resistant health administration systems. This inform is contemporary with respect to attuned digital integration and new look health care space transformation around workforce capacity.
Downloads
References
AbdelSalam, F. M. (2023). Blockchain Revolutionizing Healthcare Industry: A Systematic Review of Blockchain Technology Benefits and Threats. In Perspectives in Health Information Management (Vol. 20, Issue 3).
Alevizos, L., Ta, V. T., & Hashem Eiza, M. (2022). Augmenting zero trust architecture to endpoints using blockchain: A state-of-the-art review. SECURITY AND PRIVACY, 5(1), e191. https://doi.org/https://doi.org/10.1002/spy2.191
Antwi, M., Adnane, A., Ahmad, F., Hussain, R., Habib ur Rehman, M., & Kerrache, C. A. (2021). The case of HyperLedger Fabric as a blockchain solution for healthcare applications. Blockchain: Research and Applications, 2(1), 100012. https://doi.org/https://doi.org/10.1016/j.bcra.2021.100012
Carter, A. B., Abruzzo, L. V, Hirschhorn, J. W., Jones, D., Jordan, D. C., Nassiri, M., Ogino, S., Patel, N. R., Suciu, C. G., Temple-Smolkin, R. L., Zehir, A., & Roy, S. (2022). Electronic Health Records and Genomics: Perspectives from the Association for Molecular Pathology Electronic Health Record (EHR) Interoperability for Clinical Genomics Data Working Group. The Journal of Molecular Diagnostics, 24(1), 1–17. https://doi.org/https://doi.org/10.1016/j.jmoldx.2021.09.009
Chen, X., & Zhang, X. (2016). How Environmental Uncertainty Moderates the Effect of Relative Advantage and Perceived Credibility on the Adoption of Mobile Health Services by Chinese Organizations in the Big Data Era. International Journal of Telemedicine and Applications, 2016(1), 3618402. https://doi.org/https://doi.org/10.1155/2016/3618402
Christensen Hughes, J., & Rog, E. (2008). Talent management. International Journal of Contemporary Hospitality Management, 20(7), 743–757. https://doi.org/10.1108/09596110810899086
Cramer-Petersen, C. L., Christensen, B. T., & Ahmed-Kristensen, S. (2019). Empirically analysing design reasoning patterns: Abductive-deductive reasoning patterns dominate design idea generation. Design Studies, 60, 39–70. https://doi.org/https://doi.org/10.1016/j.destud.2018.10.001
Cruz, G., Guimarães, T., Santos, M. F., & Machado, J. (2024). Decentralize Healthcare Marketplace. Procedia Computer Science, 231, 439–444. https://doi.org/https://doi.org/10.1016/j.procs.2023.12.231
Czachorowski, K. V, Haskins, C., & Mansouri, M. (2023). Minding the gap between the front and back offices: A systemic analysis of the offshore oil and gas upstream supply chain for framing digital transformation. Systems Engineering, 26(3), 241–256. https://doi.org/https://doi.org/10.1002/sys.21652
Gore, S. (2025). Chapter 16 - Blockchain-based digital twin management architecture for Internet of Medical Things Networks (T. A. B. T.-B. and D. T. for S. H. Nguyen (ed.); pp. 313–335). Elsevier. https://doi.org/https://doi.org/10.1016/B978-0-443-34226-4.00017-4
Goyal, S., Sergi, B. S., & Jaiswal, M. P. (2016). Understanding the challenges and strategic actions of social entrepreneurship at base of the pyramid. Management Decision, 54(2), 418–440. https://doi.org/10.1108/MD-11-2014-0662
Hussien, H. M., Yasin, S. M., Udzir, S. N. I., Zaidan, A. A., & Zaidan, B. B. (2019). A Systematic Review for Enabling of Develop a Blockchain Technology in Healthcare Application: Taxonomy, Substantially Analysis, Motivations, Challenges, Recommendations and Future Direction. Journal of Medical Systems, 43(10), 320. https://doi.org/10.1007/s10916-019-1445-8
Lee, A. R., Koo, D., Kim, I. K., Lee, E., Kim, H. H., Yoo, S., Kim, J.-H., Choi, E. K., & Lee, H.-Y. (2023). Identifying facilitators of and barriers to the adoption of dynamic consent in digital health ecosystems: a scoping review. BMC Medical Ethics, 24(1), 107. https://doi.org/10.1186/s12910-023-00988-9
Lepore, D., Frontoni, E., Micozzi, A., Moccia, S., Romeo, L., & Spigarelli, F. (2023). Uncovering the potential of innovation ecosystems in the healthcare sector after the COVID-19 crisis. Health Policy, 127, 80–86. https://doi.org/https://doi.org/10.1016/j.healthpol.2022.12.001
Liu, X., Shah, R., Shandilya, A., Shah, M., & Pandya, A. (2024). A systematic study on integrating blockchain in healthcare for electronic health record management and tracking medical supplies. Journal of Cleaner Production, 447, 141371. https://doi.org/https://doi.org/10.1016/j.jclepro.2024.141371
Mishra, D. K., & Mehra, P. S. (2025). Exploring Blockchain-Based Patient-Centric Healthcare: A Comprehensive Review. Concurrency and Computation: Practice and Experience, 37(12–14), e70124. https://doi.org/https://doi.org/10.1002/cpe.70124
Nezamdoust, S., Abdekhoda, M., & Rahmani, A. (2022). Determinant factors in adopting mobile health application in healthcare by nurses. BMC Medical Informatics and Decision Making, 22(1), 47. https://doi.org/10.1186/s12911-022-01784-y
Saha, A., Amin, R., Kunal, S., Vollala, S., & Dwivedi, S. K. (2019). Review on “Blockchain technology based medical healthcare system with privacy issues.” SECURITY AND PRIVACY, 2(5), e83. https://doi.org/https://doi.org/10.1002/spy2.83
Shinde, R., Patil, S., Kotecha, K., Potdar, V., Selvachandran, G., & Abraham, A. (2024). Securing AI-based healthcare systems using blockchain technology: A state-of-the-art systematic literature review and future research directions. Transactions on Emerging Telecommunications Technologies, 35(1), e4884. https://doi.org/https://doi.org/10.1002/ett.4884
Thakur, A., Ranga, V., & Agarwal, R. (2025). Exploring the Transformative Impact of Blockchain Technology on Healthcare: Security, Challenges, Benefits, and Future Outlook. Transactions on Emerging Telecommunications Technologies, 36(3), e70087. https://doi.org/https://doi.org/10.1002/ett.70087
Tripathi, G., Ahad, M. A., & Paiva, S. (2020). S2HS- A blockchain based approach for smart healthcare system. Healthcare, 8(1), 100391. https://doi.org/https://doi.org/10.1016/j.hjdsi.2019.100391
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Novi Dinda, Yuna Anis (Author)

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Applied Health Administration (APPHA) © 2024 by Inovasi Analisis Data is licensed under CC BY-SA 4.0


















