Evidence map›Paper›PMID 34476701›Full record

ReviewEnvironmental science and pollution research international2021

Blockchain and artificial intelligence technology in e-Health.

Priti Tagde, Sandeep Tagde, Tanima Bhattacharya, Pooja Tagde, Hitesh Chopra, Rokeya Akter, Deepak Kaushik, Md Habibur Rahman

Abstract readReview
In one paragraph

Review in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed, 2 syntheses or guidelines 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

8 authors.

Priti TagdeBhabha Pharmacy Research Institute, Bhabha University Bhopal, Bhopal M.P, India. tagde_priti@rediffmail.com.
Sandeep TagdePRISAL Foundation (Pharmaceutical Royal International Society), New delhi, India.
Tanima BhattacharyaSchool of Chemistry & Chemical Engineering, Hubei University, Wuhan, China.
Pooja TagdePractice of Medicine Department, Govt. Homeopathy College, Bhopal, M.P, India.
Hitesh ChopraChitkara College of Pharmacy, Rajpura, Punjab, 140401, India.
Rokeya AkterDepartment of Pharmacy, Jagannath University, Sadarghat, Dhaka, 1100, Bangladesh.
Deepak KaushikDepartment of Pharmaceutical Sciences, Maharshi Dayanand University, Rohtak, Haryana, 124001, India.
Md Habibur RahmanDepartment of Pharmacy, Southeast University, Banani, Dhaka, 1213, Bangladesh. pharmacisthabib@gmail.com.ORCID http://orcid.org/0000-0002-2276-3311

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blockchain and artificial intelligence technologies are novel innovations in healthcare sector. Data on healthcare indices are collected from data published on Web of Sciences and other Google survey from various governing bodies. In this review, we focused on various aspects of blockchain and artificial intelligence and also discussed about integrating both technologies for making a significant difference in healthcare by promoting the implementation of a generalizable analytical technology that can be integrated into a more comprehensive risk management approach. This article has shown the various possibilities of creating reliable artificial intelligence models in e-Health using blockchain, which is an open network for the sharing and authorization of information. Healthcare professionals will have access to the blockchain to display the medical records of the patient, and AI uses a variety of proposed algorithms and decision-making capability, as well as large quantities of data. Thus, by integrating the latest advances of these technologies, the medical system will have improved service efficiency, reduced costs, and democratized healthcare. Blockchain enables the storage of cryptographic records, which AI needs.

Indexed as

BlockchainTelemedicineArtificial IntelligenceElectronic Health RecordsHumansTechnologyArtificial intelligenceBlockchainData securitye-HealthElectronic health records

Identifiers

PMID34476701
PMCPMC8412875

What OpenQuestion holds

Textmetadata
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.