Evidence map›Paper›PMID 36320897›Full record

SynthesisInternational journal of clinical practice2022

Semantic Web in Healthcare: A Systematic Literature Review of Application, Research Gap, and Future Research Avenues.

A K M Bahalul Haque, B M Arifuzzaman, Sayed Abu Noman Siddik, Abul Kalam, Tabassum Sadia Shahjahan, T S Saleena, Morshed Alam, Md Rabiul Islam, Foyez Ahmmed, Md Jamal Hossain

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in International journal of clinical practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. 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

10 authors.

A K M Bahalul HaqueElectrical and Computer Engineering, North South University, Dhaka 1229, Bangladesh.ORCID https://orcid.org/0000-0002-7942-0096
B M ArifuzzamanElectrical and Computer Engineering, North South University, Dhaka 1229, Bangladesh.ORCID https://orcid.org/0000-0001-5314-8365
Sayed Abu Noman SiddikElectrical and Computer Engineering, North South University, Dhaka 1229, Bangladesh.ORCID https://orcid.org/0000-0002-9847-3775
Abul KalamElectrical and Computer Engineering, North South University, Dhaka 1229, Bangladesh.ORCID https://orcid.org/0000-0003-1371-0311
Tabassum Sadia ShahjahanElectrical and Computer Engineering, North South University, Dhaka 1229, Bangladesh.ORCID https://orcid.org/0000-0001-6313-1858
T S SaleenaPG & Research Department of Computer Science, Sullamussalam Science College Areekode, Malappuram, Kerala 673639, India.ORCID https://orcid.org/0000-0001-5709-355X
Morshed AlamInstitute of Education and Research, Jagannath University, Dhaka 1100, Bangladesh.
Md Rabiul IslamDepartment of Pharmacy, University of Asia Pacific, 74/A Green Road, Farmgate, Dhaka 1205, Bangladesh.ORCID https://orcid.org/0000-0003-2820-3144
Foyez AhmmedDepartment of Statistics, Comilla University, Kotbari, Cumilla, Bangladesh.
Md Jamal HossainDepartment of Pharmacy, State University of Bangladesh, 77 Satmasjid Road, Dhanmondi, Dhaka 1205, Bangladesh.ORCID https://orcid.org/0000-0001-9706-207X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Today, healthcare has become one of the largest and most fast-paced industries due to the rapid development of digital healthcare technologies. The fundamental thing to enhance healthcare services is communicating and linking massive volumes of available healthcare data. However, the key challenge in reaching this ambitious goal is letting the information exchange across heterogeneous sources and methods as well as establishing efficient tools and techniques. Semantic Web (SW) technology can help to tackle these problems. They can enhance knowledge exchange, information management, data interoperability, and decision support in healthcare systems. They can also be utilized to create various e-healthcare systems that aid medical practitioners in making decisions and provide patients with crucial medical information and automated hospital services. This systematic literature review (SLR) on SW in healthcare systems aims to assess and critique previous findings while adhering to appropriate research procedures. We looked at 65 papers and came up with five themes: e-service, disease, information management, frontier technology, and regulatory conditions. In each thematic research area, we presented the contributions of previous literature. We emphasized the topic by responding to five specific research questions. We have finished the SLR study by identifying research gaps and establishing future research goals that will help to minimize the difficulty of adopting SW in healthcare systems and provide new approaches for SW-based medical systems' progress.

Indexed as

Delivery of Health CareSemantic WebDecision MakingHealth PersonnelHealth ServicesHumans

Identifiers

PMID36320897
PMCPMC9596238

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.