Trial reportPloS one2019
Clinical decision support for high-cost imaging: A randomized clinical trial.
Trial report in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled 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.
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.
Who cites it
18 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Effectiveness of Clinical Decision Support Systems on the Appropriate Use of Imaging for Central Nervous System Injuries: A Systematic Review.Applied clinical informatics · 2022Pooled it
- Value of repeat CT for nonoperative management of patients with blunt liver and spleen injury: a systematic review.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2021Pooled it
- Interventions to reduce low-value imaging - a systematic review of interventions and outcomes.BMC health services research · 2021Pooled it
- Sex differences in inappropriate imaging requests: insights from the Medical Imaging Decision And Support (MIDAS) study.European radiology · 2026Trial
- Exploring primary care providers' perspectives on clinical decision support for venous thromboembolism diagnosis: a qualitative study.BMJ open · 2026Article
- Challenges and insights from implementing clinical decision support systems for radiologic imaging: experience from the MIDAS trial.Insights into imaging · 2025Review
- Environmental Sustainability and MRI: Challenges, Opportunities, and a Call for Action.Journal of magnetic resonance imaging : JMRI · 2024Review
- Article
- Improving Medical Imaging Order Entry With Artificial Intelligence Tools: Insights and Action Items.Journal of the American College of Radiology : JACR · 2023Article
- Measuring appropriateness of diagnostic imaging: a scoping review.Insights into imaging · 2023Article
- Overview of Noninterpretive Artificial Intelligence Models for Safety, Quality, Workflow, and Education Applications in Radiology Practice.Radiology. Artificial intelligence · 2022Review
- Prospective cost implications with a clinical decision support system for pediatric emergency head computed tomography.Pediatric radiology · 2021Article
- Improved Appropriateness of Advanced Diagnostic Imaging After Implementation of Clinical Decision Support Mechanism.Journal of digital imaging · 2021Observational
- Lessons From the Free-Text Epidemic: Opportunities to Optimize Deployment of Imaging Clinical Decision Support.Journal of the American College of Radiology : JACR · 2021Article
- Developing an Institute for Health Care Delivery Science: successes, challenges, and solutions in the first five years.Health care management science · 2021Article
- Quality improvement time-saving intervention to increase use of a clinical decision support tool to reduce low-value diagnostic imaging in a safety net health system.BMJ open quality · 2021Article
- Characterization of Long Non-coding RNA Signatures of Intracranial Aneurysm in Circulating Whole Blood.Molecular diagnosis & therapy · 2020Article
- Capsule Commentary on Nevedal et al. "Factors Influencing Primary Care Providers' Unneeded Lumbar Spine MRI Orders for Acute, Uncomplicated Low-Back Pain: a Qualitative Study Use of Patient Decision".Journal of general internal medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is widespread concern over the health risks and healthcare costs from potentially inappropriate high-cost imaging. As a result, the Centers for Medicare and Medicaid Services (CMS) will soon require high-cost imaging orders to be accompanied by Clinical Decision Support (CDS): software that provides appropriateness information at the time orders are placed via a best practice alert for targeted (i.e. likely inappropriate) imaging orders, although the impacts of CDS in this context are unclear. In this randomized trial of 3,511 healthcare providers at Aurora Health Care, we study the impacts of CDS on the ordering behavior of providers. We find that CDS reduced targeted imaging orders by a statistically significant 6%, however there was no statistically significant change in the total number of high-cost scans or of low-cost scans. The results suggest that the impending CMS mandate requiring healthcare systems to adopt CDS may modestly increase the appropriateness of high-cost imaging.
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Identifiers
What OpenQuestion holds
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.