Evidence map›Paper›PMID 34726603›Full record

SynthesisJournal of medical Internet research2021

Blockchain Integration With Digital Technology and the Future of Health Care Ecosystems: Systematic Review.

Hanaa Fatoum, Sam Hanna, John D Halamka, Douglas C Sicker, Peter Spangenberg, Shahrukh K Hashmi

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  19. Telemedicine Technologies Selection for the Posthospital Patient Care Process after Total Hip Arthroplasty.International journal of environmental research and public health · 2022
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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

6 authors.

Hanaa FatoumCollege of Medicine, Alfaisal University, Riyadh, Saudi Arabia.ORCID 0000-0003-3523-7406
Sam HannaSchool of Professional & Extended Studies, American University, Washington, DC, United States.ORCID 0000-0001-6411-0872
John D HalamkaMayo Clinic Platform, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0003-2305-6755
Douglas C SickerSchool of Computer Science, Carnegie Mellon University, Pittsburgh, PA, United States.ORCID 0000-0003-0296-5212
Peter SpangenbergKing Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.ORCID 0000-0003-2799-276X
Shahrukh K HashmiDivision of Hematology, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0002-8914-7927

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the era of big data, artificial intelligence (AI), and the Internet of Things (IoT), digital data have become essential for our everyday functioning and in health care services. The sensitive nature of health care data presents several crucial issues such as privacy, security, interoperability, and reliability that must be addressed in any health care data management system. However, most of the current health care systems are still facing major obstacles and are lacking in some of these areas. This is where decentralized, secure, and scalable databases, most notably blockchains, play critical roles in addressing these requirements without compromising security, thereby attracting considerable interest within the health care community. A blockchain can be maintained and widely distributed using a large network of nodes, mostly computers, each of which stores a full replica of the data. A blockchain protocol is a set of predefined rules or procedures that govern how the nodes interact with the network, view, verify, and add data to the ledger.

objectiveIn this article, we aim to explore blockchain technology, its framework, current applications, and integration with other innovations, as well as opportunities in diverse areas of health care and clinical research, in addition to clarifying its future impact on the health care ecosystem. We also elucidate 2 case studies to instantiate the potential role of blockchains in health care.

methodsTo identify related existing work, terms based on Medical Subject Headings were used. We included studies focusing mainly on health care and clinical research and developed a functional framework for implementation and testing with data. The literature sources for this systematic review were PubMed, Medline, and the Cochrane library, in addition to a preliminary search of IEEE Xplore.

resultsThe included studies demonstrated multiple framework designs and various implementations in health care including chronic disease diagnosis, management, monitoring, and evaluation. We found that blockchains exhibit many promising applications in clinical trial management such as smart-contract application, participant-controlled data access, trustless protocols, and data validity. Electronic health records (EHRs), patient-centered interoperability, remote patient monitoring, and clinical trial data management were found to be major areas for blockchain usage, which can become a key catalyst for health care innovations.

conclusionsThe potential benefits of blockchains are limitless; however, concrete data on long-term clinical outcomes based on blockchains powered and supplemented by AI and IoT are yet to be obtained. Nonetheless, implementing blockchains as a novel way to integrate EHRs nationwide and manage common clinical problems in an algorithmic fashion has the potential for improving patient outcomes, health care experiences, as well as the overall health and well-being of individuals.

Indexed as

BlockchainArtificial IntelligenceDelivery of Health CareDigital TechnologyEcosystemHumansReproducibility of Resultsartificial intelligenceblockchain, Internet of Thingsdigitaldistributed ledger technologyeHealthledgermachine learning

Identifiers

PMID34726603
PMCPMC8596226

What OpenQuestion holds

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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.