Evidence map›Paper›PMID 34351439›Full record

ReviewDer Urologe. Ausg. A2021

[Digital transformation in urology-opportunity, risk or necessity?]

T Loch, U Witzsch, G Reis

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Urologe. Ausg. A, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Digital Transformation in Healthcare: Technology Acceptance and Its Applications.International journal of environmental research and public health · 2023
    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.

T LochKlinik für Urologie, DIAKO Krankenhaus gGmbH, Akademisches Lehrkrankenhaus der Christian-Albrechts-Universität zu Kiel, Knuthstr. 1, 24939, Flensburg, Deutschland. lochti@diako.de.
U WitzschKlinik für Urologie und Kinderurologie, Krankenhaus Nordwest GmbH, Stiftung Hospital zum Heiligen Geist, Frankfurt/Main, Deutschland.
G ReisDeutsches Forschungszentrum für Künstliche Intelligenz (DFKI), Kaiserslautern, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultimately, new (digital) techniques and artificial intelligence (AI) applications are changing the working environment in urology. This can be an opportunity for further development, but also a change which is not desired. Adjustments to work processes may be necessary. So-called disruptive processes lead to fundamental changes. In the context of the digital transformation, our way of working is changing. Classic hierarchies, working hours, and working environments are dissolving in favor of creative and flexible working models and corporate structures. Clinics and practices in urology must prepare themselves for changing requirements and be able to provide answers.

Indexed as

Artificial IntelligenceUrologyHumansArtificial intelligenceData securityHealthcarePrecision medicineTelemedicine

Identifiers

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.