Design and Validation of Blockchain Technology Acceptance Model for Healthcare Data Protection
Subject Areas : Technology Transfer and Commercialization of Researches
Maryam Golshani
1
,
Ali Biranvand
2
,
Soraya Ziaei
3
,
Afshin Mousavi
4
1 - PhD student, Department of Knowledge and Information Science, Payame Noor University,Tehran, Iran
2 - Associate professor, Department of Knowledge and Information Science, Payame Noor University,Tehran, Iran
3 - Associate professor,Department of Knowledge and Information Science, Payame Noor University,Tehran, Iran
4 - Associate professor,Department of Knowledge and Information Science, Payame Noor University,Tehran, Iran
Keywords: Organizational Bias, Organizational Pathology, Secondary Schools, School Administrators.,
Abstract :
The present study was conducted with the aim of designing and validating a blockchain technology adoption model for healthcare data protection. This study was conducted within the framework of the pragmatism paradigm using a mixed inductive-deductive approach. In order to achieve the research objectives, a mixed exploratory research design with a qualitative-quantitative sequence was employed. In terms of its purpose, this study is classified as an applied-developmental study. In terms of data collection, it is classified as a non-experimental (descriptive) study and was conducted using a cross-sectional survey method. In the qualitative section, the study population included experienced managers in the healthcare system. Sampling was conducted purposefully, and theoretical saturation was achieved through interviews with 13 participants. In the quantitative section, the statistical population consisted of patients. The sample size was determined to be 384 people based on the Cochran formula for indeterminate populations, and sampling was performed using a cluster method followed by simple random sampling. Data collection was carried out through semi-structured interviews and a researcher-made questionnaire. Qualitative data analysis was performed using thematic analysis and MAXQDA software, while quantitative data were analyzed using the partial least squares (PLS) method and SmartPLS software. Based on the research model, it was determined that the internal characteristics of blockchain technology have an impact on health data management and electronic health records. The aforementioned components affect health information security and improve health system functions, and lead to ease of use, perceived quality, and perceived usefulness, respectively. Ultimately, ease of use, usefulness, and quality lead to the adoption of blockchain technology.
1- انوریسعدی، زهرا؛ صفایی، علیاصغر، مروری روایی بر فناوری بلاکچین در مراقبت سلامت: کاربردها و چالشها. انفورماتیک سلامت و زیستپزشکی، 1401، 9(3)، 180-192.http://dx.doi.org/10.34172/jhbmi.2022.07.
2- فرزانه، روحیه؛ احمدیکوپائی، سیدرضا؛ پناهی، مریم؛ مهدیزاده، فاطمه؛ مهدیزاده، فائزه، نقش بلاکچین در امنیت سیستم بهداشت و درمان، هفتمین کنفرانس بینالمللی بهداشت، بحران و ایمنی. 1402، صص 1-10. https://civilica.com/doc/1701133.
3- نوری، امیر، ارتباط سیستم بلاکچین با حوزه سلامت و درمان، ششمین کنفرانس بینالمللی ایمنی و بهداشت، تهران، 1401. https://civilica.com/doc/1604230
4- زارعی، عظیم؛ مدرسی، میثم؛ ابراهیمی، مهدی، عوامل مؤثر بر استفاده از فناوری بلاکچین در مدیریت خدمات بانکداری الکترونیک. توسعه تکنولوژی صنعتی، 1403، 22(57)، 35-50. https://doi.org/10.22034/jtd.2024.712692
5- صابری، ماهان؛ نظرنیا، شایان؛ خلیلیفر، احمد، استفاده از بلاکچین در تدوین استراتژیهای سازمانی: چشمانداز جدید امنیت و شفافیت. مدیریت استراتژیک هوشمند، 1403، 3(4)، 47-66. https://doi.org/bumara.3.2.15564.35879843315
6- حاجیعموشا، معصومه، بایستههای کتب و متون آموزشی در علم صرف بر مبنای نظریهی نشر نوآوری. پژوهش در آموزش زبان و ادبیات عرب، 1403، 6(1)، 192-214. https://doi.org/10.48310/alle.2024.3645
7- منعمزاده، مهدیه؛ صادقیآرانی، زهرا؛ مزروعی نصرآبادی، اسماعیل، توسعه مدل پذیرش فناوری: بررسی تأثیر تجربه مصرف، اینرسی و فرهنگ مصرفکننده بر پذیرش بانکداری باز. کاشانشناسی، 1403، 17(1)، 47-90. https://civilica.com/doc/2170637
8- پرتوینیا، پیام؛ خدامی، سهیلا، بررسی قصد استفاده از واقعیت افزوده در برنامههای تلفنهای همراه در گردشگری مبتنی بر نظریه یکپارچه پذیرش و استفاده از فناوری. گردشگری و توسعه، 1402، 12(4)، 191-207. https://doi.org/10.22034/jtd.2023.390064.2753
9- دارابی طهرانی، علی؛ ربیعی، محمد، مدلی به منظور افزایش امنیت سیستمهای مدیریت خدمات بهداشتی و درمانی با تلفیق فناوری بلاکچین. نشریه مهندسی سیستم و بهرهوری، 1403، 2(5). 93-111. https://doi.org/10.22034/msb.2024.2016101.1166
10- صمصامی، محمدامین؛ رشیدی خزاعی، پرویز؛ بلوکی اسپیلی، امیدرضا، ارائه ساختار امن سامانه مدیریت لیست انتظار بیماران پیوند عضو مبتنی بر فناوری بلاکچین و ذخیرهسازی توزیعشده پرونده. انفورماتیک سلامت و زیست پزشکی، 1403، ۱۱ (۲): ۱۰۱-۱۱۴. http://jhbmi.ir/article-1-843-fa.html.
11- نوروزی، میثم؛ قنبری سلحشور، محمدرضا؛ اسکندری خوشگو، مهدی، نقش فناوری بلاکچین در توسعه حقوق بینالملل سلامت. حقوق پزشکی، 1403 59. 365-380. http://ijmedicallaw.ir/article-1-1722-fa.html
12- نصیری، احمدرضا، تحلیل تأثیر عوامل مؤثر مبتنی بر پذیرش سازمانی بر فناوری بلاکچین مدیریت زنجیره تأمین بیمارستان شهید رجایی گچساران (پایاننامه کارشناسیارشد). دانشکده دانشگاه آزاد اسلامی واحد گچساران، دانشکده مدیریت و اقتصاد، 1402.
13- سجادیان، فاطمه، طراحی مدل زنجیره تأمین پایدار براساس رویکرد بلاکچین در سازمانهای خدمات درمانی (پایاننامه کارشناسیارشد). دانشکده دانشگاه ولیعصر (عج) رفسنجان، دانشکده علوم اداری و اقتصاد، 1401.
14- حسینی سرخوش، سیدمهدی، اولویتبندی عوامل مرتبط با پذیرش فناوری بلاکچین در نظام پرونده الکترونیک سلامت. مدیریت اطلاعات و سلامت، 1401، ۱۹(۲), ۷۱-۷۸. https://doi.org/10.48305/him.2022.39259.1029
15- آذر، عادل؛ غلامزاده، رسول، کمترین مربعات جزئی. تهران: نگاه دانش، 1400.
16- حبیبی، آرش؛ جلالنیا، راحله، حداقل مربعات جزئی. تهران: نارون، 1400.
17- Vijayan, R., Mareeswari, V., & Sridhar, K., Healthcare Data Security in Multi-Cloud Infrastructure Using Heuristic Algorithms. In Role of Artificial Intelligence, Telehealth, and Telemedicine in Medical Virology,2025, 17(2), 253-267. https://link.springer.com/10.1007/978-981-97-2938-8_12.
18- Wang, Y., Masood, I., Daud, A., Banjar, A., & Alharbey, R., A blockchain-based system for patient data privacy and security. Multimedia Tools and Applications, 2025, 83(21), 6443-6467. http://dx.doi.org/10.1007/s11042-023-17941-y.
19- Kaur, J., Rani, R., & Kalra, N., Healthcare Data Security and Privacy Protection Framework Based on Dual Channel Blockchain. Transactions on Emerging Telecommunications Technologies, 2025, 36(1), 730-749. https://doi.org/10.1002/ett.70049.
20- Shree, S., Zhou, C., & Barati, M., Data protection in internet of medical things using blockchain and secret sharing method. The Journal of Supercomputing, 2024, 80(4), 5108-5135. http://dx.doi.org/10.1007/s11227-023-05657-7.
21- Massari, A., Perchinunno, P., L’Abbate, S., & Crocetta, C., Blockchain and the General Data Protection Regulation: Healthcare Data Processing. International Computational Science and Its Applications, 2023, 16(2), 377-388. https://doi.org/10.1007/978-3-031-37111-0_27.
22- Kathole, A. B., Mirge, A. S., & Jadhao, A. P., Advancing electronic medical data protection through blockchain innovation. In Blockchain and Digital Twin for Smart Hospitals, 2025, 19 (4), 193-205. https://doi.org/10.1016/b978-0-443-34226-4.00010-1.
23- Lakshmanan, M., & Anandha Mala, G. S., Merkle tree-blockchain-assisted privacy preservation of electronic medical records on offering medical data protection through hybrid heuristic algorithm. Knowledge and Information Systems, 2024, 66(1), 481-509. https://doi.org/10.1007/s10115-023-01937-z.
24- Jayaraman, R., Yaqoob, I., Salah, K., & Al-Hammadi, Y., Blockchain for healthcare data management: opportunities, challenges, and future recommendations. Neural Computing and Applications, 2022, 21(5), 1-16. https://doi.org/10.1007/s00521-020-05519-w.
25- Cihan, S., Yılmaz, N., Ozsoy, A., & Beyan, O. D., A systematic review of the blockchain application in healthcare research domain: toward a unified conceptual model. Medical & Biological Engineering & Computing, 2025, 1-24. https://doi.org/10.1007/s11517-024-03274-x.
26- Anandan, R., & Deepak, B. S., An overview of blockchain technology: fundamental theories and concepts. The Convergence of Artificial Intelligence and Blockchain Technologies: Challenges and Opportunities, 2022, 18(3), 1-22. https://doi.org/10.1142/9789811225079_0001.
27- Mulligan, C., Morsfield, S., & Cheikosman, E., Blockchain for sustainability: A systematic literature review for policy impact. Telecommunications Policy, 2024, 48(2), 662-676. https://doi.org/10.1016/J.TELPOL.2023.102676.
28- Lin, W. L., Yang, Y., Leow, N. X., Lim, W. M., Khee, P. C., & Yip, N., Trends in the dynamic evolution of blockchain and circular economy: A literature review and bibliometric analysis. Business Strategy and the Environment, 2025, 34(1), 1062-1084. http://dx.doi.org/10.1002/bse.4027.
29- Diaz, J., Hochstetter, J., Bustamante, A., Sepulveda, S., Albayay, I., & Arango, J., Navigating digital transformation and technology adoption: A literature review from small and medium-sized enterprises in developing countries. Sustainability, 2024, 16(14), 29-46. http://dx.doi.org/10.3390/su16145946.
30- Boateng, B. O., Asare, C., Sekyere, K. N., Akude, D. N., & Walden, B. H., Understanding Blockchain Adoption In Emerging Markets: Integrating The Technology Acceptance Model And Innovation Diffusion Theory. International Journal of Entrepreneurship, 2023, 27(5), 1-23. https://www.researchgate.net/publication/386370661.
31- Liu, N., & Ye, Z., Empirical research on the blockchain adoption–based on TAM. Applied Economics, 2021, 53(37), 4263-4275. https://doi.org/10.1080/00036846.2021.1898535.
32- Malik, S., Chadhar, M., Vatanasakdakul, S., & Chetty, M., Factors affecting the organizational adoption of blockchain technology: Extending the technology–organization–environment (TOE) framework in the Australian context. Sustainability, 2021, 13(16), 94-104. https://doi.org/10.3390/su13169404.
33- Goodhue, D. L., & Thompson, R. L., Task-technology fit and individual performance. MIS quarterly, 1995, 213-236.
34- Yang, H., Zhang, Z., Jian, C., & Ahmad, N., Exploring real estate blockchain adoption: An empirical study based on an integrated task-technology fit and technology acceptance model. PloS one, 2025, 20(1), e0317993. http://dx.doi.org/10.1371/journal.pone.0317993.
35- Afifa, M. M. A., Van, H. V., & Van, T. L. H., Blockchain adoption in accounting by an extended UTAUT model: empirical evidence from an emerging economy. Journal of Financial Reporting and Accounting, 2022, 21(1), 5-44. https://doi.org/10.1108/JFRA-12-2021-0434.
36- Doria, M., The Application of Blockchain Technology in Securing Electronic Health Records Blockchain for Healthcare Data Security. No, this paper has not appeared, or been accepted to appear, in a Paper Series, Journal, or Book. The paper is based on research for the application of blockchain technology to secure Electronic Health Records in the Healthcare Industry. Overall, the paper is for my FT, 2025, 324-1. http://dx.doi.org/10.21015/vtse.v11i4.1656.
37- Govindarajan, U. H., Narang, G., Singh, D. K., & Yadav, V. S. (2025). Blockchain technologies adoption in healthcare: Overcoming barriers amid the hype cycle to enhance patient care. Technological Forecasting and Social Change, 213, 124031. https://doi.org/10.1016/j.techfore.2025.124031.
38- Dhingra, S., Raut, R., Kumar, M., & Naik, B. K. R., Factors impacting Indian healthcare supply chain performance and influence in the public and private sector: the mediating role of blockchain technology adoption. Benchmarking: An International Journal, Vol. ahead-of-print No. ahead-of-print, 2024. https://doi.org/10.1108/BIJ-10-2023-0687.
39- Esmaeilzadeh, Pouyan., Benefits and concerns associated with blockchain-based health information exchange (HIE): a qualitative study from physicians’ perspectives. BMC Medical Informatics and Decision Making, 2022, 22(1), 80. http://dx.doi.org/10.1186/s12911-022-01815-8.
40- Abu-elezz, Israa; Hassan, Asma; Nazeemudeen, Anjanarani; Househ, Mowafa; & Abd-alrazaq, Alaa., The benefits and threats of blockchain technology in healthcare: A scoping review. International Journal of Medical Informatics, 2020, 142, 104246. https://doi.org/10.1016/j.ijmedinf.2020.104246.
41- Miller, E., Cross, L., & Lopez. M., Sampling in qualitative research. FBB research group, 2010, 19(3), 249-261.
42- Lincoln, Y. S., & Guba, E. G., Naturalistic Inquiry. Beverly Hills, CA: Sage Publications, Inc, 1985.
43- Holsti, O. R., Content analysis for the social sciences and humanities, Reading, MA: Addison-Wesley, 1969.
44- Attride-Stirling, J., Thematic networks: an analytic tool for qualitative research. Qualitative research, 2001, 1(3), 385-405. https://doi.org/10.1177/146879410100100307
45- Chin, W. W., The partial least squares approach to structural equation modeling. Modern methods for business research, 1998, 295(2), 295-33.
46- Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M., A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications, 2021.