Evidence map›Paper›PMID 30069284›Full record

ReviewComputational and structural biotechnology journal2018

Blockchain Technology for Healthcare: Facilitating the Transition to Patient-Driven Interoperability.

William J Gordon, Christian Catalini

Abstract readReview
In one paragraph

Review in Computational and structural biotechnology journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 6 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

89 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Applications of Blockchain in the Medical Field: Narrative Review.Journal of medical Internet research · 2021
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  15. Home-based treatment for patients with hematological cancer in Denmark-A national overview.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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29 more citing papers are in PubMed but not listed here.

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

2 authors.

William J GordonBrigham and Women's Hospital, 41 Avenue Louis Pasteur #209, Boston, MA 02115, United States.
Christian CataliniMIT Sloan School of Management, 30 Memorial Drive, Cambridge, MA 02142, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interoperability in healthcare has traditionally been focused around data exchange between business entities, for example, different hospital systems. However, there has been a recent push towards patient-driven interoperability, in which health data exchange is patient-mediated and patient-driven. Patient-centered interoperability, however, brings with it new challenges and requirements around security and privacy, technology, incentives, and governance that must be addressed for this type of data sharing to succeed at scale. In this paper, we look at how blockchain technology might facilitate this transition through five mechanisms: (1) digital access rules, (2) data aggregation, (3) data liquidity, (4) patient identity, and (5) data immutability. We then look at barriers to blockchain-enabled patient-driven interoperability, specifically clinical data transaction volume, privacy and security, patient engagement, and incentives. We conclude by noting that while patient-driving interoperability is an exciting trend in healthcare, given these challenges, it remains to be seen whether blockchain can facilitate the transition from institution-centric to patient-centric data sharing.

Indexed as

Application programming interfaceBlockchainClinical dataData exchangeInteroperability

Identifiers

PMID30069284
PMCPMC6068317

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.