Exploring the impact of diagnostic imaging decision support embedded in an electronic referral solution on the appropriate ordering of magnetic resonance imaging for patients with knee pain: a retrospective chart review.

RATIONAL AND OBJECTIVE Requests for magnetic resonance imaging (MRI) exams have notably increased in Canada. However, many of these exams may not always be indicated. The Joint Department of Medical Imaging and the eReferral Program have worked collaboratively to embed an integrated clinical decision support (DS) tool within the eReferral process for diagnostic imaging requests. This retrospective chart review aimed to assess the necessity of MRI exams for knee pain patients at the point of referral in relation to the referral method (no DS tools within fax- vs. DS tools within eReferral). METHODS Seven hundred and seventeen medical charts of routine MRI referral requests to an Ontario Hospital for patients with knee complaints were reviewed during the study period. The necessity of the MRI exams was evaluated using the supporting algorithm and knee pathway appropriateness guidelines. MRI exams were considered necessary if requested for symptoms or signs that align with best-practice standards, complemented with sound clinical assessment or history of a radiography scan before ordering an MRI. RESULTS In general, MRI requests made through eReferral were 13.289 times more likely to be necessary orders than those made through fax. The likelihood of referring patients for a necessary MRI exam was higher for eReferral than fax for the year 2018/2019 (53.0% vs. 26.8%, P < 0.001) and for the year 2019/2020 (58.5% vs. 16.3%, P < 0.001). In addition, the rate of ordering X-ray as the proper initial imaging scan for patients presenting with knee pain has steadily increased by 10% over the year for users of the eReferral platform compared to a decrease of 7% for those using fax. CONCLUSION Our findings highlight the positive impact of integrating DS tools at the point of referral in supporting the ordering of necessary MRI scans, suggesting that service re-design and implementation of automated assistive technology services would impact patient care.