Value-Based Radiology in Canada: Reducing Low-Value Care and Improving System Efficiency.
Tyler D YanSabeena JalalAlison HarrisPublished in: Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes (2024)
Radiology departments are increasingly tasked with managing growing demands on services including long waitlists for scanning and interventional procedures, human health resource shortages, equipment needs, and challenges incorporating advanced imaging solutions. The burden of system inefficiencies and the overuse of "low-value" imaging causes downstream impact on patients at the individual level, the economy and healthcare system at the societal level, and planetary health at an overarching level. Low value imaging includes those performed for an inappropriate clinical indication, with little to no value to the management of the patient, and resulting in healthcare resource waste; it is estimated that up to a quarter of advanced imaging studies in Canada meet this criterion. Strategies to reduce low-value imaging include the development and use of referral guidelines, use of appropriateness criteria, optimization of existing protocols, and integration of clinical decision support tools into the ordering provider's workflow. Additional means of optimizing system efficiency such as centralized intake models, improved access to electronic medical records and outside imaging, enhanced communication with patients and referrers, and the utilization of artificial intelligence will further increase the value of radiology provided to patients and care providers.
Keyphrases
- artificial intelligence
- healthcare
- high resolution
- primary care
- human health
- end stage renal disease
- ejection fraction
- risk assessment
- big data
- deep learning
- machine learning
- palliative care
- chronic kidney disease
- physical activity
- clinical practice
- social media
- pain management
- risk factors
- chronic pain
- sewage sludge
- weight gain