Evidence map›Paper›PMID 35198290›Full record

ArticleCureus2022

Using Ethereum Smart Contracts to Store and Share COVID-19 Patient Data.

Sai Batchu, Karan Patel, Owen S Henry, Aleem Mohamed, Ank A Agarwal, Henna Hundal, Aditya Joshi, Sankeerth Thoota, Urvish K Patel

Abstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

9 authors.

Sai BatchuNeurosciences, Independent Researcher, Montville, USA.
Karan PatelMedical Student, Cooper Medical School of Rowan University, Camden, USA.
Owen S HenryMedical Student, Cooper Medical School of Rowan University, Camden, USA.
Aleem MohamedMedical Student, Cooper Medical School of Rowan University, Camden, USA.
Ank A AgarwalMedical Student, Stanford University School of Medicine, Stanford, USA.
Henna HundalMedical Student, Stanford University School of Medicine, Stanford, USA.
Aditya JoshiMedical Student, Cooper Medical School of Rowan University, Camden, USA.
Sankeerth ThootaMedicine, Meenakshi Medical College and Research Institute, Enathur, IND.
Urvish K PatelPublic Health and Neurology, Icahn School of Medicine at Mount Sinai, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction The emergence and rapid spread of the coronavirus disease 2019 (COVID-19) pandemic have revealed the limitations in current healthcare systems to handle patient records securely and transparently, and novel protocols are required to address these shortcomings. An attractive option is the use of Ethereum smart contracts to secure the storage of medical records and concomitant data logs. Ethereum is an open-source platform that can be used to construct smart contracts, which are collections of code that allow transactions under certain parameters and are self-executable. Methods The present study developed a proof-of-concept smart contract that stores COVID-19 patient data such as the patient identifier (ID), variant, chest CT grade, and significant comorbidities. A sample, fictitious patient data for the purpose of testing was configured to a private network. A smart contract was created in the Ethereum state and tested by measuring the time to insert and query patient data. Results Testing with a private, Proof of Authority (PoA) network required only 191 milliseconds and 890 MB of memory per insertion to insert 50 records while inserting 350 records required 674 milliseconds and similar memory per insertion, as memory per insertion was nearly constant with the increasing number of records inserted. Retrieving required 912 MB for a query involving all three fields and no wildcards in a 350-record database. Only 883 MB was needed to procure a similar observation from a 50-record database. Conclusion This study exemplifies the use of smart contracts for efficient retrieval/insertion of COVID-19 patient data and provides a case use of secure and efficient data logging for sensitive COVID-19 data.

Indexed as

block chaincovidethereum smart contractshealth securitypatient data

Identifiers

PMID35198290
PMCPMC8853077

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Registered trials

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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.