Artificial Intelligence: Radiology’s Future
Healthcare professionals can’t escape the buzz of artificial intelligence (AI). The adoption of AI in the healthcare market is still in its early stages, but its anticipated to play an important role in the future of radiology. AI provides a unique opportunity to not only offer tools that improve patient care through diagnostics, but also to drive down cost. According to Accenture analysis, “growth in the AI health market is expected to reach $6.6 billion by 2021 and key healthcare AI applications can potentially create $150 billion in annual savings for the U.S. healthcare economy by 2026.”
What does AI mean for radiologists?
While advances in AI have caused some to speculate that this technology may one day replace human radiologists, the reality is that humans have skills that AI simply can’t replicate. However, the solutions AI provides to reduce labor, lower costs and improve accuracy would benefit both patients and radiologists.
The advantages of AI innovation have a big upside for the field of radiology. Here are 4 areas where AI makes radiologists more productive and efficient.
The rise in backlogs is a growing challenge in the field of radiology, leaving patient care at risk. AI can have a major impact on radiologist’s workflow. Examples like computer-aided image triage, automated scoring of images, data incorporation and translations can facilitate workflow enabling them to handle more cases with greater efficiency. Gartner predicts that AI will recover 6.2 billion hours of worker productivity by 2021.
AI allows radiologists to review detailed data with improved accuracy and fewer errors. It adds a layer of reliability to the search for abnormalities that sometimes go unnoticed, giving radiologists the comfort knowing that they have an extra level of decision support.
Utilizing AI systems that help radiologists address more urgent, time-sensitive cases allows for quicker treatment of the patient. This is critical in urgent care cases such as stroke, when every second counts. With the push for patient-centered care, prioritization will become an essential part of the radiologist workflow
Radiologists days are filled with routine responsibilities that take away from more important tasks. Studies show that these menial tasks can take up almost 50% of the workday. Incorporating AI to perform these tasks frees up radiologists to focus on reading more scans, engaging in research or simply enjoying a better work-life balance.
There is still a lot to understand about the future of AI in healthcare and diagnostic imaging. One thing is for certain – AI will change the way radiologists do their job. As the healthcare industry continues to turn to a value-based care model, its imperative providers work to implement AI technology in order to help radiologists be more productive and efficient.