Evidence map›Paper›PMID 33190460›Full record

ArticleHealthcare informatics research2020

Patient Consent Management by a Purpose-Based Consent Model for Electronic Health Record Based on Blockchain Technology.

Dara Tith, Joong-Sun Lee, Hiroyuki Suzuki, W M A B Wijesundara, Naoko Taira, Takashi Obi, Nagaaki Ohyama

Abstract read
In one paragraph

Article in Healthcare informatics research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Biobanking: IoT, safety challenges and security prospects.BMC medical informatics and decision making · 2026
    Review
  3. Article
  4. Enhancing Cancer Care through Blockchain Technology.Asian Pacific journal of cancer prevention : APJCP · 2025
    Review
  5. Review
  6. Article
  7. Article
  8. Article
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.

Dara TithInstitute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan.
Joong-Sun LeeInstitute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan.
Hiroyuki SuzukiInstitute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan.
W M A B WijesundaraInstitute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan.
Naoko TairaInstitute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan.
Takashi ObiInstitute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan.
Nagaaki OhyamaInstitute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCurrently, patients' consent is essential to use their medical records for various purposes; however, most people give their consent using paper forms and have no control over it. Healthcare organizations also have difficulties in dealing with patient consent. The objective of this research is to develop a system for patients to manage their consent flexibly and for healthcare organizations to obtain patient consent efficiently for a variety of purposes.

methodsWe introduce a new e-consent model, which uses a purpose-based access control scheme; it is implemented by a blockchain system using Hyperledger Fabric. All metadata of patient records, consents, and data access are written immutably on the blockchain and shared among participant organizations. We also created a blockchain chaincode that performs business logic managing patient consent.

resultsWe developed a prototype and checked business logics with the chaincode by validating doctors' data access with purpose-based consent of patients stored in the blockchain. The results demonstrate that our system provides a fine-grained way of handling medical staff 's access requests with diverse intended purposes for accessing data. In addition, patients can create, update, and withdraw their consents in the blockchain.

conclusionsOur consent model is a solution for consent management both for patients and healthcare organizations. Our system, as a blockchain-based solution that provides high reliability and availability with transparency and traceability, is expected to be used not only for patient data sharing in hospitals, but also for data donation for biobank research purposes.

Indexed as

Access to InformationBlockchainConsent FormsElectronic Health RecordsHealth Information Exchange

Identifiers

PMID33190460
PMCPMC7674812

What OpenQuestion holds

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LicenceCC BY-NC
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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.