Blockchain for Healthcare Sector-Analytical Review

Abdu, Nail Adeeb Ali; Wang, Zhaoshun

doi:10.1088/1757-899x/1110/1/012001

Cited by 6 publications

(2 citation statements)

References 27 publications

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“…[21] Offered summary statistics on popular BCT platforms in the healthcare area [22] Used bibliometric methodologies to provide an overview of BCT aspects and research directions in healthcare applications. [11] Presented the scope of BCT applications in the healthcare domain [23] Reviewed the role of BCT in the healthcare domain [24] Investigated the possibilities for using BCT solutions in healthcare. [25] Conducted a review to analyze the current and future use of BCT in healthcare applications [10] Presented the obstacles and chances of using BCT in healthcare [26] Presented the benefits and challenges of BCTbased applications in healthcare [18] To evaluate the studies on the use of BCT in patient care, as well as the related obstacles.…”

Section: Table 1 Previous Review Studies On Bct In Healthcarementioning

confidence: 99%

A Systematic Review on the Adoption of Blockchain Technology in the Healthcare Industry

Bazel

Mohammed

Ahmad

2023

EAI Endorsed Trans Perv Health Tech

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INTRODUCTION: Blockchain technology is a distributed ledger, decentralized, and cryptographically secure technology which has garnered considerable interest in different sectors including healthcare. It can enable better trust, security, management, and transparency of healthcare data, processes, and transactions resulting improving quality of care. Despite the fact of the increasing number of research investigating the applications/potentials of blockchain in healthcare, there is a scarcity of comprehensive reviews that focuses on the factors that influence its adoption in the healthcare industry. OBJECTIVES: This review aims to summarise existing studies regarding the adoption of blockchain technology in the healthcare industry. This review presents a detailed review of existing empirical studies investigating the factors influencing blockchain adoption in healthcare by highlighting the research methodologies, targeted stakeholders, adoption theories/models used, and the influential factors explored in each of these studies. Careful syntheses of these studies would enable researchers and partitioners to acquire a wide knowledge and understand various opportunities and challenges of blockchain implementation in healthcare. METHODS: Inspired on “Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)” guidelines, the study's scope and research questions are established, Scopus database is selected as an information resource, search strategy, and inclusion and exclusion criteria for document selection is developed. This review was conducted in August 2022. From 223 articles found in the search, 12 met the eligibility criteria and were selected to be extensively analyzed in this review. RESULTS: This review reveals that very few empirical studies exist that sought to explore the significant factors influencing blockchain adoption in healthcare. The qualitative method was the most method employed, healthcare providers were the most targeted stakeholders, and most of the studies were not based on adoption theories/models. Privacy, government regulation, and trust were the most influential factors investigated in the studies. CONCLUSION: The utilization of blockchain can help handle many issues in healthcare systems and bring improved healthcare delivery. Little attention has been paid to highlight internal and external factors that would impact successful blockchain adoption in healthcare. Additionally, the evaluated research placed little attention on understanding how underlying factors interact, social structures and institutional mechanisms affect the adoption of blockchain in healthcare. The reasons why healthcare organizations are hesitant to implement blockchain are still not clear. There is a need to conduct more research to examine the factors influencing the decision of healthcare stakeholders to adopt blockchain by using adoption theories/models. The proposed framework of the factors in this study may contribute as a starting point for future blockchain adoption studies in the healthcare industry.

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Section: Table 1 Previous Review Studies On Bct In Healthcarementioning

confidence: 99%

A Systematic Review on the Adoption of Blockchain Technology in the Healthcare Industry

Bazel

Mohammed

Ahmad

2023

EAI Endorsed Trans Perv Health Tech

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“…The advent of contemporary technology, particularly blockchain models, has significantly transformed information and communication systems in healthcare research. It provides a means to address deficiencies in information management within clinical trials, offering mitigation against fraudulent or mismanaged information [6].…”

Section: Introductionmentioning

confidence: 99%

Blockchain Framework for Healthcare Data Management System in Clinical Trials

Abdu,

Wang,

Abdualrhman

2023

Fuzzy Systems and Data Mining IX

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The concept of information management involves the identification and organization of data into distinct sectors, sometimes referred to as silos, in order to anticipate and address future situations. One of the primary obstacles encountered in the administration of clinical trials pertains to the presence of information silos among the several stakeholders involved in the process. The improvement of cooperation and integration may be achieved by processing information in real-time and implementing a comprehensive system. This manuscript evaluates the viability of implementing the blockchain model for auditing clinical trials. It also proposes a blockchain-based solution that has the potential to enhance the overall quality of the practiced solutions and establish sustainable approaches for conducting clinical trials auditing. The suggested model focuses on the development of a grid-based system for organizing the many stages of a clinical trial. This involves creating distinct blocks for each phase and then constructing a complete network of these blocks to be shared across the consortium responsible for managing the trial data. The suggested architecture has substantial potential for enhancing security and adaptability, hence facilitating systematic improvements to information systems in the context of clinical trials.

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