13
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Blockchain technology in healthcare: A systematic review

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          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.

          Related collections

          Most cited references103

          • Record: found
          • Abstract: not found
          • Article: not found

          RoB 2: a revised tool for assessing risk of bias in randomised trials

            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            The PRISMA 2020 statement: An updated guideline for reporting systematic reviews

            Matthew Page and co-authors describe PRISMA 2020, an updated reporting guideline for systematic reviews and meta-analyses.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Systematic literature reviews in software engineering – A systematic literature review

                Bookmark

                Author and article information

                Contributors
                Role: Data curationRole: MethodologyRole: Writing – original draft
                Role: ConceptualizationRole: Data curationRole: SupervisionRole: Writing – original draft
                Role: ConceptualizationRole: Formal analysisRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Writing – original draft
                Role: Data curationRole: Funding acquisitionRole: Methodology
                Role: ConceptualizationRole: Formal analysisRole: MethodologyRole: Writing – original draft
                Role: Data curationRole: Formal analysisRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Resources
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                11 April 2022
                2022
                : 17
                : 4
                : e0266462
                Affiliations
                [1 ] Department of Computer Science, National College of Business Administration & Economics Lahore, Multan, Pakistan
                [2 ] Department of Computer Science, University of Management and Technology, Lahore, Pakistan
                University College of Engineering Tindivanam, INDIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-4402-5088
                Article
                PONE-D-21-33056
                10.1371/journal.pone.0266462
                9000089
                35404955
                98168405-9dd2-4f57-aadf-bf335b9469f6
                © 2022 Saeed et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 8 November 2021
                : 21 March 2022
                Page count
                Figures: 10, Tables: 3, Pages: 31
                Funding
                The author(s) received no specific funding for this work.
                Categories
                Research Article
                Physical Sciences
                Mathematics
                Applied Mathematics
                Algorithms
                Research and Analysis Methods
                Simulation and Modeling
                Algorithms
                Research and Analysis Methods
                Scientific Publishing
                Medicine and Health Sciences
                Medical Humanities
                Medical Journals
                Medicine and Health Sciences
                Health Care
                Health Care Providers
                Allied Health Care Professionals
                Medicine and Health Sciences
                Computer and Information Sciences
                Data Management
                Computer and Information Sciences
                Cryptography
                Physical Sciences
                Mathematics
                Cryptography
                Social Sciences
                Economics
                Health Economics
                Health Care Sector
                Medicine and Health Sciences
                Health Care
                Health Economics
                Health Care Sector
                Custom metadata
                All relevant data are within the manuscript and its Supporting information files.

                Uncategorized
                Uncategorized

                Comments

                Comment on this article