Medical Imaging Decision And Support (MIDAS): Study protocol for a multi-centre cluster randomized trial evaluating the ESR iGuide

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

*Corresponding author for this work

Abstract

Objectives: Medical imaging plays an essential role in healthcare. As a diagnostic test, imaging is prone to substantial overuse and potential overdiagnosis, with dire consequences to patient outcomes and health care costs. Clinical decision support systems (CDSSs) were developed to guide referring physicians in making appropriate imaging decisions. This study will evaluate the effect of implementing a CDSS (ESR iGuide) with versus without active decision support in a physician order entry on the appropriate use of imaging tests and ordering behaviour. Methods: A protocol for a multi-center cluster-randomized trial with departments acting as clusters, combined with a before-after-revert design. Four university hospitals with eight participating departments each for a total of thirty-two clusters will be included in the study. All departments start in control condition with structured data entry of the clinical indication and tracking of the imaging exams requested. Initially, the CDSS is implemented and all physicians remain blinded to appropriateness scores based on the ESR imaging referral guidelines. After randomization, half of the clusters switch to the active intervention of decision support. Physicians in the active condition are made aware of the categorization of their requests as appropriate, under certain conditions appropriate, or inappropriate, and appropriate exams are suggested. Physicians may change their requests in response to feedback. In the revert condition, active decision support is removed to study the educational effect. Results/conclusions: The main outcome is the proportion of inappropriate diagnostic imaging exams requested per cluster. Secondary outcomes are the absolute number of imaging exams, radiation from diagnostic imaging, and medical costs. 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 2020–15,125 (Mainz). The trial is registered in the ClinicalTrials.gov

Original languageEnglish
Article number107384
JournalContemporary Clinical Trials
Volume135
ISSN1551-7144
DOIs
Publication statusPublished - 12.2023

Research Areas and Centers

  • Academic Focus: Biomedical Engineering
  • Centers: Center for Artificial Intelligence Luebeck (ZKIL)

DFG Research Classification Scheme

  • 205-32 Medical Physics, Biomedical Engineering
  • 205-30 Radiology, Nuclear Medicine, Radiation Therapy and Radiobiology

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