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Blockchain technology in healthcare: A systematic review

Author

Listed:
  • Huma Saeed
  • Hassaan Malik
  • Umair Bashir
  • Aiesha Ahmad
  • Shafia Riaz
  • Maheen Ilyas
  • Wajahat Anwaar Bukhari
  • Muhammad Imran Ali Khan

Abstract

Blockchain technology (BCT) has emerged in the last decade and added a lot of interest in the healthcare sector. The purpose of this systematic literature review (SLR) is to explore the potential paradigm shift in healthcare utilizing BCT. The study is compiled by reviewing research articles published in nine well-reputed venues such as IEEE Xplore, ACM Digital Library, Springs Link, Scopus, Taylor & Francis, Science Direct, PsycINFO, Ovid Medline, and MDPI between January 2016 to August 2021. A total of 1,192 research studies were identified out of which 51 articles were selected based on inclusion criteria for this SLR that presents the modern information on the recent implications and gaps in the use of BCT for enhancing the healthcare procedures. According to the outcomes, BCT is being applied to design the novel and advanced interventions to enrich the current protocol of managing, distributing, and processing clinical records and personal medical information. BCT is enduring the conceptual development in the healthcare domain, where it has summed up the substantial elements through better and enhanced efficiency, technological innovation, access control, data privacy, and security. A framework is developed to address the probable field where future researchers can add considerable value, such as data protection, system architecture, and regulatory compliance. Finally, this SLR concludes that the upcoming research can support the pervasive implementation of BCT to address the critical dilemmas related to health diagnostics, enhancing the patient healthcare process in remote monitoring or emergencies, data integrity, and avoiding fraud.

Suggested Citation

  • Huma Saeed & Hassaan Malik & Umair Bashir & Aiesha Ahmad & Shafia Riaz & Maheen Ilyas & Wajahat Anwaar Bukhari & Muhammad Imran Ali Khan, 2022. "Blockchain technology in healthcare: A systematic review," PLOS ONE, Public Library of Science, vol. 17(4), pages 1-31, April.
  • Handle: RePEc:plo:pone00:0266462
    DOI: 10.1371/journal.pone.0266462
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    References listed on IDEAS

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    1. Daniel R. Wong & Sanchita Bhattacharya & Atul J. Butte, 2019. "Prototype of running clinical trials in an untrustworthy environment using blockchain," Nature Communications, Nature, vol. 10(1), pages 1-8, December.
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    3. Jesse Yli-Huumo & Deokyoon Ko & Sujin Choi & Sooyong Park & Kari Smolander, 2016. "Where Is Current Research on Blockchain Technology?—A Systematic Review," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-27, October.
    4. Cornelius Chidubem Agbo & Qusay H. Mahmoud, 2020. "Blockchain in Healthcare: Opportunities, Challenges, and Possible Solutions," International Journal of Healthcare Information Systems and Informatics (IJHISI), IGI Global, vol. 15(3), pages 82-97, July.
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    6. Shih Hsiung Lee & Chu Sing Yang, 2018. "Fingernail analysis management system using microscopy sensor and blockchain technology," International Journal of Distributed Sensor Networks, , vol. 14(3), pages 15501477187, March.
    7. Min Xu & Xingtong Chen & Gang Kou, 2019. "A systematic review of blockchain," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-14, December.
    8. Marten Risius & Kai Spohrer, 2017. "A Blockchain Research Framework," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 59(6), pages 385-409, December.
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    Cited by:

    1. Virginia Milone & Antonio Fusco & Angelamaria De Feo & Marco Tatullo, 2024. "Clinical Impact of “Real World Data” and Blockchain on Public Health: A Scoping Review," IJERPH, MDPI, vol. 21(1), pages 1-14, January.
    2. Mudassir Khalil & Ahmad Naeem & Rizwan Ali Naqvi & Kiran Zahra & Syed Atif Moqurrab & Seung-Won Lee, 2023. "Deep Learning-Based Classification of Abrasion and Ischemic Diabetic Foot Sores Using Camera-Captured Images," Mathematics, MDPI, vol. 11(17), pages 1-21, September.

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