Evidence map›Paper›PMID 35759315›Full record

ArticleJournal of medical Internet research2022

Re-engineering a Clinical Trial Management System Using Blockchain Technology: System Design, Development, and Case Studies.

Yan Zhuang, Luxia Zhang, Xiyuan Gao, Zon-Yin Shae, Jeffrey J P Tsai, Pengfei Li, Chi-Ren Shyu

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Biomedical blockchain with practical implementations and quantitative evaluations: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2024
    Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yan ZhuangNational Institute of Health Data Science, Peking University, Beijing, China.ORCID 0000-0003-1245-7203
Luxia ZhangNational Institute of Health Data Science, Peking University, Beijing, China.ORCID 0000-0003-2349-2936
Xiyuan GaoDepartment of Statistics, University of Missouri, Columbia, MO, United States.ORCID 0000-0002-7406-5021
Zon-Yin ShaeDepartment of Computer Science and Information Engineering, Asia University, Taichung, Taiwan.ORCID 0000-0003-1709-5416
Jeffrey J P TsaiDepartment of Computer Science and Information Engineering, Asia University, Taichung, Taiwan.ORCID 0000-0003-0473-5170
Pengfei LiAdvanced Institute of Information Technology, Peking University, Hangzhou, China.ORCID 0000-0003-2914-3729
Chi-Ren ShyuInstitute for Data Science and Informatics, University of Missouri, Columbia, MO, United States.ORCID 0000-0001-9197-9522

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA clinical trial management system (CTMS) is a suite of specialized productivity tools that manage clinical trial processes from study planning to closeout. Using CTMSs has shown remarkable benefits in delivering efficient, auditable, and visualizable clinical trials. However, the current CTMS market is fragmented, and most CTMSs fail to meet expectations because of their inability to support key functions, such as inconsistencies in data captured across multiple sites. Blockchain technology, an emerging distributed ledger technology, is considered to potentially provide a holistic solution to current CTMS challenges by using its unique features, such as transparency, traceability, immutability, and security.

objectiveThis study aimed to re-engineer the traditional CTMS by leveraging the unique properties of blockchain technology to create a secure, auditable, efficient, and generalizable CTMS.

methodsA comprehensive, blockchain-based CTMS that spans all stages of clinical trials, including a sharable trial master file system; a fast recruitment and simplified enrollment system; a timely, secure, and consistent electronic data capture system; a reproducible data analytics system; and an efficient, traceable payment and reimbursement system, was designed and implemented using the Quorum blockchain. Compared with traditional blockchain technologies, such as Ethereum, Quorum blockchain offers higher transaction throughput and lowers transaction latency. Case studies on each application of the CTMS were conducted to assess the feasibility, scalability, stability, and efficiency of the proposed blockchain-based CTMS.

resultsA total of 21.6 million electronic data capture transactions were generated and successfully processed through blockchain, with an average of 335.4 transactions per second. Of the 6000 patients, 1145 were matched in 1.39 seconds using 10 recruitment criteria with an automated matching mechanism implemented by the smart contract. Key features, such as immutability, traceability, and stability, were also tested and empirically proven through case studies.

conclusionsThis study proposed a comprehensive blockchain-based CTMS that covers all stages of the clinical trial process. Compared with our previous research, the proposed system showed an overall better performance. Our system design, implementation, and case studies demonstrated the potential of blockchain technology as a potential solution to CTMS challenges and its ability to perform more health care tasks.

Indexed as

BlockchainClinical Trials as TopicDelivery of Health CareEngineeringHumansResearch DesignTechnologyblockchainclinical trial management systemclinical trialselectronic data capturesmart contract

Identifiers

PMID35759315
PMCPMC9274392

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.