Each year, RSNA offers unique opportunities for attendees to take deep dives into the latest trends and ideas swirling around the world of radiology. In preparation for the RSNA 2023 fest, we offer insights into the topics that will form the conversations for an AI-driven transformative year in 2024.
A report from August showed increasing demand for medical imaging in the emergency department, with a 34% increase in wRVUs at level one trauma centers and 76.6% at level 3 trauma centers. The volumes, coupled with administrative work, has led to nearly 40% of radiologists feeling burned out, which could worsen with a projected massive shortage.
Providers are turning to AI to help mitigate the growing imbalance, with clinical results clearly demonstrating the ability to help reduce radiologist report turnaround time, improve capture of incidental cases and even provide “diagnostic comfort.” The next series of clinical studies will focus on AI’s direct impact on patient outcomes correlated to volumes.
What’s critical to the success of radiology taking the lead in AI, is building collaboration across service lines. This enhances patient care coordination and shortens treatment decision timelines, especially when transferring patients to tertiary care centers is necessary.
For example, by streamlining communication between radiology and cardiovascular care teams, AI showed the ability to help reduce time to treatment by 7 hours and reduce patient length of stay by 72-hours in cases of PE. Replicating this across numerous service lines and pathologies would improve health system efficiency and yield clinical benefits for tens of thousands of patients.
To combat on-going healthcare challenges and remain financially solvent, health systems have been gearing up in 2023 for AI adoption change management, including the rise of the Chief Transformation Officer role.
Because radiologists are uniquely positioned as the informatics experts and AI pioneers in health systems, 2024 poses a unique opportunity to play a key role in the development and execution of the AI strategy. Much of the conversation at RSNA 2023 will center around radiology departments taking leading roles in these strategies and driving the transformation, including overcoming technical limitations.
Healthcare leaders will seek to work with a select few vendors, leaving the platform approach as the most viable option for AI, especially radiology AI. This necessitates smart orchestration technology to seamlessly integrate multiple AI solutions; create timely data-driven clinical insights; and monitor to improve performance.
Join Aidoc at RSNA 2023 to learn more about partnering with the platform provider and leader in FDA-cleared medical imaging algorithms.
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