Evidence map›Paper›PMID 40402304›Full record

ReviewUrologie (Heidelberg, Germany)2025

[Taking digital healthcare to the next level: what practices and clinics need for digitalization!]

Thomas Willaschek

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Urologie (Heidelberg, Germany), 2025. 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

1 author.

Thomas WillaschekLUTHER Rechtsanwaltsgesellschaft mbH, Heidestraße 40, 10557, Berlin, Deutschland. thomas.willaschek@luther-lawfirm.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigitalization in urology is bringing about profound changes. While artificial intelligence (AI)-supported diagnoses, telemedical consultations and electronic patient files offer promising advances, challenges remain in the areas of technical infrastructure, interoperability and data security.

objectiveThe article examines the prerequisites that practices and clinics need for successful digitalization and the legal aspects that need to be taken into account to ensure the digital transformation. MATERIALS AND

methodsThe analysis is based on the evaluation of statistics on the technical equipment of urological practices, the implementation of digital applications (e.g., electronic patient file [ePA], e‑prescription) and the use of AI technologies. This is supplemented by an assessment of the future development of digital systems and regulatory framework conditions.

conclusionUrology is proving to be a promising field for digitalization. The use of AI-supported diagnostic systems and (asynchronous) telemedicine services can significantly improve the quality of care. However, specialists must be specifically trained and the technical infrastructure created.

Indexed as

Delivery of Health CareDigital TechnologyTelemedicineUrologyArtificial IntelligenceComputer SecurityElectronic Health RecordsForecastingGermanyHumansArtificial intelligenceElectronic patient filesInterdisciplinary workTelematicsTelemedicine

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.