Evidence map›Paper›PMID 39845697›Full record

ArticleJournal of patient experience2025

Impact of Standardized Reporting Systems on Patient Experience in Radiology.

Igor Toker, Sven Jansen, Daniel Lorenz

Abstract read
In one paragraph

Article in Journal of patient experience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Igor TokerNeo Q Quality in Imaging GmbH, Berlin, Germany.ORCID https://orcid.org/0000-0002-8550-1634
Sven JansenNeo Q Quality in Imaging GmbH, Berlin, Germany.
Daniel LorenzNeo Q Quality in Imaging GmbH, Berlin, Germany.ORCID https://orcid.org/0009-0003-0875-4683

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patient experience is a vital measure of healthcare quality, affecting satisfaction, engagement, and outcomes. Standardized radiology reporting can improve care by enhancing communication, reducing errors, and optimizing workflows. This article examines the role of structured reporting and AI in improving patient experience, addressing challenges like workload imbalances and communication issues. Key points include adopting standardized systems, leveraging AI, and focusing on patient-centered communication. Practical tips are shared to boost reporting accuracy, patient engagement, and care quality.

Indexed as

artificial intelligence in healthcarediagnostic accuracyguided reportingimproving patient satisfactionpatient-centered carepatient experienceradiology workflow optimizationstandardized reporting in radiology

Identifiers

PMID39845697
PMCPMC11752732

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.