Evidence map›Paper›PMID 35214441›Full record

ArticleSensors (Basel, Switzerland)2022

A New Digital Platform for Collecting Measurement Data from the Novel Imaging Sensors in Urology.

Grzegorz Rybak, Krzysztof Strzecha, Marek Krakós

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Grzegorz RybakInstitute of Applied Informatics, Lodz University of Technology, ul. Stefanowskiego 18/22, 90-537 Łódź, Poland.ORCID 0000-0003-1250-2115
Krzysztof StrzechaInstitute of Applied Informatics, Lodz University of Technology, ul. Stefanowskiego 18/22, 90-537 Łódź, Poland.ORCID 0000-0002-5648-0942
Marek KrakósDepartment of Pediatric Surgery and Urology, Hospital of J. Korczak in Łódź, 71 Piłsdskiego Av., 90-329 Łódź, Poland.

Funding

European Union POIR.04.01.04-00-0045 / 20
6 · The paper itself

Abstract

The use of UT and EIT technologies gives the opportunity to develop new, effective, minimally invasive diagnostic methods for urology. The introduction of new diagnostic methods into medicine requires the development of new tools for collecting, processing and analysing the data obtained from them. Such system might be seen as a part of the electronic health record EHR system. The digital medical data management platform must provide the infrastructure that will make medical activity possible and effective in the presented scope. The solution presented in this article was implemented using the newest computer technologies to obtain advantages such as mobility, versatility, flexibility and scalability. The architecture of the developed platform, technological stack proposals, database structure and user interface are presented. In the course of this study, an analysis of known and available standards such as Hl7, RIM, DICOM, and tools for collecting medical data was performed, and the results obtained using them are also presented. The developed digital platform also falls into an innovative path of creating a network of sensors communicating with each other in the digital space, resulting in the implementation of the IoT (Internet of Things) vision. The issues of building software based on the architecture of microservices were discussed emphasizing the role of message brokers. The selected message brokers were also analysed in terms of available features and message transmission time.

Indexed as

UrologyDatabases, FactualSoftwareDICOMEHREITHL7IoTmessage brokermicroservicesRIMtomographyurologyUT

Identifiers

PMID35214441
PMCPMC8877363

What OpenQuestion holds

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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.