Evidence map›Paper›PMID 36792096›Full record

ArticleHealthcare informatics research2023

Healthcare Information Technology: A Systematic Mapping Study.

Enrique Maldonado Belmonte, Salvador Otón Tortosa, Luis de-Marcos Ortega, José-María Gutiérrez-Martínez

Abstract read
In one paragraph

Article in Healthcare informatics research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Enrique Maldonado BelmonteDepartment of Computer Science, University of Alcalá, Madrid, Spain.
Salvador Otón TortosaDepartment of Computer Science, University of Alcalá, Madrid, Spain.
Luis de-Marcos OrtegaDepartment of Computer Science, University of Alcalá, Madrid, Spain.
José-María Gutiérrez-MartínezDepartment of Computer Science, University of Alcalá, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis paper presents a systematic mapping of studies related to information systems and technology in the field of healthcare, enabling a visual mapping of the different lines of knowledge that can provide an overview of the scientific literature in this field. This map can help to clarify critical aspects of healthcare informatics, such as the main types of information systems, the ways in which they integrate with each other, and the technological trends in this field.

methodsSystematic mapping refers to a process of classifying information in a given area of knowledge. It provides an overview of the state of the art in a particular discipline or area of knowledge, establishing a map that describes how knowledge is structured in that particular area. In this study, we proposed and carried out a specific implementation of the methodology for mapping. In total, 1,619 studies that combine knowledge related to information systems, computer science, and healthcare were selected and compiled from prestigious publications.

resultsThe results established a distribution of the available literature and identified papers related to certain research questions, thereby providing a map of knowledge that structures the different trends and main areas of research, making it possible to address the research questions and serving as a guide to deepen specific aspects of the field of study.

conclusionsWe project and propose future research for the trends that stand out because of their interest and the possibility of exploring these topics in greater depth.

Indexed as

Biomedical TechnologyHealth Information TechnologiesHospital Information SystemInformation SystemMedical Informatics

Identifiers

PMID36792096
PMCPMC9932305

What OpenQuestion holds

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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.