Evidence map›Paper›PMID 40616704›Full record

ReviewInsights into imaging2025

Challenges and insights from implementing clinical decision support systems for radiologic imaging: experience from the MIDAS trial.

Thomas Kroencke, Stijntje W Dijk, Moritz C Halfmann, Claudia Wollny, Joerg Barkhausen, Olav Janssen, Dimitris Rizopoulos, M G Myriam Hunink

Registry-linked trialAbstract readReview
In one paragraph

Review in Insights into imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05490290 (Medical Imaging Decision And Support), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

NCT05490290 nacompletednot on this map

Medical Imaging Decision And Support

TypeinterventionalSponsorUniversity Hospital AugsburgRan2022 to 2024Enrolled26ConditionsClinical Decision Support SystemsArmsActive
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Review
  4. Article
  5. 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

8 authors.

Thomas KroenckeDepartment of Diagnostic and Interventional Radiology, University Hospital Augsburg, Augsburg, Germany. thomas.kroencke@uk-augsburg.de.ORCID http://orcid.org/0000-0003-4889-1036
Stijntje W DijkDepartment of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Moritz C HalfmannDepartment of Radiology, University Medical Center Mainz, Mainz, Germany.
Claudia WollnyDepartment of Diagnostic and Interventional Radiology, University Hospital Augsburg, Augsburg, Germany.
Joerg BarkhausenDepartment of Radiology and Nuclear Medicine, University Medical Center Schleswig-Holstein (UKSH), Lübeck, Germany.
Olav JanssenDepartment of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein (UKSH), Kiel, Germany.
Dimitris RizopoulosDepartment of Epidemiology and Biostatistics, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
M G Myriam HuninkDepartment of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands.

Funding

Gemeinsame Bundesausschuss Förderkennzeichen 01VSF18008
6 · The paper itself

Abstract

Clinical decision support systems (CDSSs) have been developed to give guidance for referring physicians to make appropriate decisions at the point of care. The MIDAS study, a multicenter cluster randomized trial at four German university hospitals, was designed to evaluate the effectiveness of a CDSS for imaging referral (ESR iGuide) in routine clinical care. Based on our experience within the MIDAS study, we aim to describe the hurdles and difficulties, as well as the various insights gained, in the process of implementing a CDSS in a clinical and research setting. To successfully implement a CDSS for imaging requests, it is essential to monitor and address technical issues, adapt local workflows, define the scope and content, and prioritize user experience and acceptance. CRITICAL RELEVANCE STATEMENT: By identifying and addressing the various technical, content-related, and workflow challenges, this article gives valuable insights to facilitate future implementations of the ESR iGuide and similar clinical decision support systems CDSSs for imaging orders. TRIAL REGISTRATION NUMBER: Approval from the Medical Ethics Review Committee was obtained under protocol numbers 20-069 (Augsburg), B 238/21 (Kiel), 20-318 (Lübeck) and 2020-15125 (Mainz). The trial is registered in the ClinicalTrials.gov register under registration number NCT05490290. KEY POINTS: This manuscript reviews the challenges of implementing a clinical decision support system (CDSS) (ESR iGuide). Clinical implementation of a CDSS for imaging requests requires monitoring and adjustments in technical issues, local workflow, scope and content, and attention to user experience and acceptance. Our experience may equip stakeholders with the knowledge to proactively address these challenges.

Indexed as

Clinical decision support systemsHealthcare costsOverdiagnosisRadiologyReferral

Identifiers

PMID40616704
PMCPMC12228898

What OpenQuestion holds

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Registered trials

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.