Reclaiming time in radiology: how AI can help tackle staffing and care gaps by streamlining workflows - News Summed Up

Reclaiming time in radiology: how AI can help tackle staffing and care gaps by streamlining workflows


In an age of growing patient demand and persistent staff shortages, time has become the most precious resource in radiology – and there’s never enough of it. In our 2024 Future Health Index report, 77% of healthcare leaders reported care delays due to staff shortages. Backlogs in imaging studies risk missed diagnoses, while delays in cancer treatment – which can be life-threatening – have unfortunately become ‘routine’ in some healthcare systems [2, 3]. Instead, we must empower existing radiologists and imaging staff by enhancing their skills and efficiency. However, there’s a catch: in a radiology workflow, every step is interconnected – from gathering and organizing prior patient data to image acquisition, interpretation, reporting, and communicating imaging studies to patients.


Source: The Guardian November 26, 2024 15:39 UTC



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