Evidence map›Paper›PMID 40477733›Full record

ArticleHMD Praxis der Wirtschaftsinformatik2022

[Bringing Expertise to the Field: Analysis of COVID-19 Teleconsultations and Scenario-based Recommendations].

Florian Neft, Karolin Eva Kappler, Sandra Maria Dohmen, Christian Juhra, Kathrin Sperling, Daniela Bause, Stefan Smolnik

Abstract readEnglish Abstract
In one paragraph

Article in HMD Praxis der Wirtschaftsinformatik, 2022. 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

7 authors.

Florian NeftFernUniversität in Hagen, Hagen, Deutschland.ORCID 0000-0003-4730-192X
Karolin Eva KapplerKatholische Hochschule Nordrhein-Westfalen, Köln, Deutschland.
Sandra Maria DohmenUniversitätsklinikum Aachen, Aachen, Deutschland.
Christian JuhraUniversitätsklinikum Münster, Münster, Deutschland.
Kathrin SperlingUniversitätsklinikum Münster, Münster, Deutschland.
Daniela BauseMünster, Deutschland.
Stefan SmolnikFernUniversität in Hagen, Hagen, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of the unknown disease COVID-19 and the increasing number of COVID-19 cases challenged the health system. General, standard care hospitals were largely unfamiliar with the treatment of severe respiratory failure up to then, and so this knowledge had to be transferred from university hospitals to standard care ones. Therefore, intensive care physicians within the preliminary stage of the virtual hospital North Rhine-Westphalia (VKh.NRW) used teleconsultations. Teleconsultations occur between two intensive care physicians, make expertise anywhere available and increase treatment quality and efficiency. The evaluation of these teleconsultations shows different scenarios. Whereas initially, the enquirers largely addressed general diagnostic and therapy question regarding the COVID-19 treatment, they arose more detailed questions later, necessitating a specialist, such as a pharmacologist. This scenario demands more explicit knowledge, and, thus, increased technology requirements. Barriers appear in the context of this technical infrastructure. Therefore, we evaluate which knowledge is transferred within different teleconsultation scenarios and which technology requirements must be fulfilled to increase the use of teleconsultation and, thus, improve the health system.

Indexed as

Covid-19TechnologyTeleconsultationsTelemedicine

Identifiers

PMID40477733
PMCPMC9628489

What OpenQuestion holds

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LicenceCC BY
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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.