Background: Between 2003 and 2012, the number of MRIs performed in Canada more than doubled to 1.7 million [1]. According to a 2010 Health Council of Canada report nearly 30% of MRIs were inappropriately ordered [2]. The use of diagnostic imaging referral guidelines has been shown to improve the appropriateness of imaging orders [3, 4].
Objectives: To identify the number of unnecessary pre-consult MRIs ordered for patients with knee pain. As well, the impact that new evidence-based clinical decision support (DS) guidelines embedded within the referral form has had on the number of unnecessary MRIs was investigated.
Methods: This study employed a retrospective design approach. Charts of all knee pain patients over the age of 55 who were referred for consultation to the 5 participating orthopedic surgeons during the study period were reviewed by three medical students.
Results: 270 patient charts were included in this study. MRI was ordered for 60 patients with only 56.7% having had a prior X-ray. Of the 60 ordered MRIs, 50 (84%) were considered inappropriate, while only 10 (16%) were appropriate. Our results were compared to previous results of a quality improvement study implemented at the same clinic. A substantial reduction of 12% in the number of pre-consult MRIs and a 5% increase in the number of ordered X-rays before consultation was demonstrated.
Conclusion: This work highlights the impact of including DS tools within an electronic referral form to support clinical best practices.
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Phys Eng Sci Med
January 2025
School of Physics, Mathematics and Computing, The University of Western Australia, Crawley, WA, Australia.
Artificial Intelligence (AI) based auto-segmentation has demonstrated numerous benefits to clinical radiotherapy workflows. However, the rapidly changing regulatory, research, and market environment presents challenges around selecting and evaluating the most suitable solution. To support the clinical adoption of AI auto-segmentation systems, Selection Criteria recommendations were developed to enable a holistic evaluation of vendors, considering not only raw performance but associated risks uniquely related to the clinical deployment of AI.
View Article and Find Full Text PDFJ Endocrinol Invest
January 2025
Department of Medicine, University of Padova, Padua, Italy.
Purpose: Infertility is defined as the inability to conceive after 1 year of unprotected intercourse, affecting approximately 15-20% of couples in Western countries. It is a shared problem within the couple; when the main issue lies with one of the partners, it is preferable to refer to "male factor" or "female factor" infertility rather than simply male or female infertility. Despite male factor infertility accounting for half of all couple infertility cases, the clinical approach to the male partner is not uniformly standardized across international guidelines.
View Article and Find Full Text PDFJ Eval Clin Pract
February 2025
Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, the Netherlands.
Rationale: Established coronary artery disease (CAD) patients are at increased risk for recurrence of cardiovascular events and mortality due to non-attainment of recommended risk factor control targets.
Objective: We aimed to evaluate the attainment of treatment targets for risk factor control among CAD patients as recommended in the Indonesian CVD prevention guidelines.
Methods: Patients were consecutively recruited from the Makassar Cardiac Center at Wahidin Sudirohusodo Hospital, Indonesia.
Cureus
December 2024
SimTiki Simulation Center, John A. Burns School of Medicine, University of Hawai'i at Mānoa, Honolulu, USA.
Introduction Debriefing in healthcare simulation is helpful in reinforcing learning objectives, closing performance gaps, and improving future practice and patient care. The Debriefing Assessment for Simulation in Healthcare (DASH) is a validated tool. However, localized rater training for the DASH has not been described.
View Article and Find Full Text PDFIndian J Radiol Imaging
January 2025
Tulsi Das Library (Postgraduate) Institute of Medical Education and Research, Chandigarh, India.
Honoring those who paved the way and paving the way for others is an old saying and practice that emphasizes the importance of acknowledging the contributions of others while also guiding and mentoring those who follow in your footsteps. In academic and scientific writings, citations are very important for maintaining the integrity, credibility, and progression of scientific knowledge. This article examines the significance of citations, their various types and methods, and the different styles used.
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