شنایایی عوامل کلیدی موثر در پیاده‌سازی بلاک‌چین در استارت آپ‌های پزشکی: یک پژوهش آمیخته

نوع مقاله : مقاله پژوهشی

نویسندگان
مجتبی حاصل پور 1
محسن شفیعی نیکابادی 2
1 کارشناسی ارشد، مدیریت کسب و کار ، دانشکده اقتصاد، مدیریت و علوم اداری، دانشگاه سمنان، سمنان، ایران.
2 استاد، گروه مدیریت صنعتی دانشگاه سمنان، سمنان، ایران.
10.48305/him.2025.45537.1329
چکیده
مقدمه: پیاده سازی بلاک چین در استارتاپ ها ی پزشکی می تواند مد یریت داده های سلامت را با ارتقای امنیت و شفافیت متحول کند. هدف این پژوهش، شناسایی و سطح بند ی عوامل کلیدی مؤثر بر پیاده سازی این فناوری در استارتاپ های حوزه پزشکی است.
روش بررسی: این مطالعه از نظر هدف، کاربردی و از نظر ماهیت، آمیخته (کیفی- کمی) است که در دو مرحله تحل یل مضمون و مدل سازی ساختاری تفسیری (ISM )انجام شد. جامعه آماری شامل مد یران استارتاپ های پزشکی و اساتید دانشگاهی خبره در حوزه بالکچین بود. داده ها از طریق مصاحبه های نیمه ساختاریافته و پرسشنامه محقق ساخته گردآوری شدند.
یافته ها: 1۲ عامل کلید ی شناسایی شد که بر اساس مدل ISM، متغیرهای «بهبود خدمات پزشکی» و «لجستیک آنلاین خدمات پزشکی» با کمترین وابستگی و بیشترین قدرت نفوذ، به عنوان محرک های اصلی و پیشران در باالتری ن سطح مدل قرار گرفتند. در مقابل، عوامل ی نظیر »آموزش کاربر و پذ یرش«، » یکپارچهسازی داده ها« و »شفافیت در داده های پزشکی«
بیشترین میزان وابستگی را نشان دادند.
نتیجهگیری : بالکچین با ارتقای امن یت و کارایی عمل یاتی، تحولی بزرگ در صنعت بهداشت ایجاد می کند . برای موفقیت در پیاده سازی، سیاستگذاران باید بر توسعه زیرساختهای
خدمات پزشکی و لجستیک آنال ین تمرکز کنند. این فناوری چارچوبی مستحکم برای پیشبرد سیستم های سالمت هوشمند و بیمارمحور فراهم میآورد.

کلیدواژه‌ها

موضوعات

عنوان مقاله English

Identitying Key Factors Influencing Blockchain Implementation in Medical Startups: A MixedMethod Study

نویسندگان English

Mojtaba Haselpour 1
Mohsen Shafiei Nikabadi 2
1 Msc, Business Administration, Faculty of Economic, Management and Administrative Sciences,, Semnan University, Semnan, Iran
2 Professor , Industrial Management Department, Semnan University, Semnan, Iran
چکیده English

Introduction: The implementation of Blockchain technology in medical startups has the potential to revolutionize healthcare data
management by ensuring security, transparency, and efficiency. The present study aims to identify and stratify the key factors
influencing Blockchain adoption in medical startups.
Methods: This research is applied in purpose and employs a mixed methods design, combining thematic analysis and interpretive
structural modeling. The study population consisted of medical startup managers and academic experts with scientific and practical
experience in Blockchain. Data collection in the qualitative phase involved semi structured interviews, while the ISM phase utilized
a researcher developed questionnaire.
Results: The qualitative analysis revealed 12 influential factors, including: Improved medical services, Interoperability with other
startups, Startup adaptability and planning, Coherent vision development, Online medical service logistics, Emerging competencies
in medical care, Patient empowerment, Data standards and governance, Medical data integration, User training and acceptance,
Commitment to patient service, and Transparency in medical data. The ISM results indicated that the most dependent variables were
interoperability with other startups, startup adaptability and planning, coherent vision development, patient empowerment, data
standards and governance, medical data integration, user training and acceptance, and transparency in medical data. In contrast, the
variables of improved medical services and online medical service logistics exhibited the least dependence but the highest driving
influence.
Conclusion: Implementing Blockchain technology in medical startups can significantly transform the healthcare industry by
enhancing data security, transparency, and operational efficiency. The study identifies a hierarchical structure of influencing factors,
with "Improved Medical Services" and "Online Medical Service Logistics" emerging as the most influential, independent drivers at
the highest level. These factors should be prioritized in strategic planning to maximize the impact of Blockchain adoption.
Meanwhile, foundational elements such as data transparency, user training, and data integration, though highly dependent, are
essential for creating an enabling environment for successful implementation. Ultimately, Blockchain offers a robust framework for
advancing smart, patient-centered healthcare systems, fostering greater trust among stakeholders, and streamlining medical and
logistical processes

کلیدواژه‌ها English

Blockchain
Medical Startups
Smart Medicine
1. Hölbl M, Kompara M, Kamišalić A, Nemec Zlatolas L. A systematic review of the use of blockchain in healthcare. Symmetry. 2018 Oct
10;10(10):470 .
2. Kasyapa MS, Vanmathi C. Blockchain integration in healthcare: a comprehensive investigation of use cases, performance issues, and mitigation
strategies. Frontiers in Digital Health. 2024 Apr 26; 6:1359858 .
3. Gökalp E, Gökalp MO, Çoban S, Eren PE. Analysing opportunities and challenges of integrated blockchain technologies in healthcare.
Eurosymposium on systems analysis and design. 2018 Aug 26:174-83 .
4. Sousa MJ, Sousa M, Rocha Á. The Challenges of Blockchain in Healthcare Entrepreneurship. InWorld Conference on Information Systems and
Technologies 2024 Mar 26 (pp. 188-198). Cham: Springer Nature Switzerland .
5. Fang HS. Commercially successful blockchain healthcare projects: a scoping review. Blockchain in Healthcare Today. 2021 Apr 16; 4:10-30953 .
6. Singh Y, Jabbar MA, Kumar Shandilya S, Vovk O, Hnatiuk Y. Exploring applications of blockchain in healthcare: road map and future directions.
Frontiers in Public Health. 2023 Sep 15; 11:1229386 .
7. Harrer S, Shah P, Antony B, Hu J. Artificial intelligence for clinical trial design. Trends in pharmacological sciences. 2019 Aug 1;40(8):577-91 .
http://him.mui.ac.ir
تاثیر حمایت اجتماعی ادراک شده بر دانش دیابتی
140 مدیریت اطالعات سالمت / دوره بیست و دوم/ شماره سوم/ پاییز 1404
8. Kulkov I, Kulkova J, Leone D, Rohrbeck R, Menvielle L. Stand-alone or run together: artificial intelligence as an enabler for other technologies.
International Journal of Entrepreneurial Behavior & Research. 2024 Sep 24;30(8):2082-105 .
9. Varshney A, Garg N, Nagla KS, Nair TS, Jaiswal SK, Yadav S, Aswal DK. Challenges in Sensors Technology for Industry 4.0 for Futuristic
Metrological Applications: A. Varshney et al. Mapan. 2021 Jun;36(2):215-26 .
10. McGhin T, Choo KK, Liu CZ, He D. Blockchain in healthcare applications: Research challenges and opportunities. Journal of network and computer
applications. 2019 Jun 1; 135:62-75 .
11. Yue X, Wang H, Jin D, Li M, Jiang W. Healthcare data gateways: found healthcare intelligence on blockchain with novel privacy risk control.
Journal of medical systems. 2016 Oct;40(10):218 .
12. Ekblaw A, Azaria A, Halamka JD, Lippman A. A Case Study for Blockchain in Healthcare: “MedRec” prototype for electronic health records and
medical research data. InProceedings of IEEE open & big data conference 2016 Aug 13 (Vol. 13, No. 13) .
13. Dimitrov DV. Blockchain applications for healthcare data management. Healthcare informatics research. 2019 Jan 31;25(1):51-6 .
14. Dhillon V, Metcalf D, Hooper M. Blockchain in healthcare. InBlockchain enabled applications: understand the blockchain ecosystem and how to
make it work for you 2021 Jan 5 (pp. 201-220). Berkeley, CA: Apress .
15. Zhang R, Xue R, Liu L. Security and privacy on blockchain. ACM Computing Surveys (CSUR). 2019 Jul 3;52(3):1-34 .
16. Jabbari A, Dejham S. Security in Cloud Computing. National Conference on Modern Research in Science and Technology. 2015.[In Persian]
17. Ming Y, Wang C, Liu H, Zhao Y, Feng J, Zhang N, Shi W. Blockchain-enabled efficient dynamic cross-domain deduplication in edge computing.
IEEE Internet of Things Journal. 2022 Feb 9;9(17):15639-56 .
18. Qrunfleh S, Tarafdar M. Lean and agile supply chain strategies and supply chain responsiveness: the role of strategic supplier partnership and
postponement. Supply Chain Management: An International Journal. 2013 Sep 23;18(6):571-82 .
19. Craighead CW, Blackhurst J, Rungtusanatham MJ, Handfield RB. The severity of supply chain disruptions: design characteristics and mitigation
capabilities. Decision sciences. 2007 Feb;38(1):131-56 .
20. Hossain MJ, Wadud MA, Rahman A, Ferdous J, Alam MS, Bhuiyan TA, Mridha MF. A secured patient’s online data monitoring through
blockchain: An intelligent way to store lifetime medical records. In2021 International Conference on Science & Contemporary Technologies
(ICSCT) 2021 Aug 5 (pp. 1-6). IEEE.
21. Zhang W. Blockchain-based solutions for clinical trial data management: a systematic review. Metaverse Basic and Applied Research. 2022(1):8 .
22. Russo-Spena T, Mele C, Cavacece Y, Ebraico S, Dantas C, Roseiro P, van Staalduinen W. Enabling value co-creation in healthcare through
blockchain technology. International Journal of Environmental Research and Public Health. 2022 Dec 21;20(1):67 .
23. Westphal E, Seitz H. Digital and decentralized management of patient data in healthcare using blockchain implementations. Frontiers in Blockchain.
2021 Aug 26; 4:732112 .
24. Li S. Research on the Development Direction of Smart Logistics Based on Blockchain Technology. Industrial Engineering and Innovation
Management. 2023;6(1):10-23977 . . .
مدیریت اطلاعات سلامت
دوره 22، شماره3(پاییز)
پاییز 1404
صفحه 131-141