Imaging departments are full of many data silos because PACS platforms do not have access to the departmental exchange. Though VNA unlocks access to this data, effective review and interpretation are challenging owing to the shortage of medical imaging professionals and high burnout rates. Inefficient use of these data silos leads to duplicate imaging and diagnosis, raising healthcare costs for the patient. Burnout among professionals may lead to image interpretation errors, hampering clinical outcomes.
AI integration in VNA unleashes the full analytic value of imaging data with AI-based imaging triage and enables professionals to focus on crucial imaging interpretations, reducing the burden. AI will significantly reduce overall healthcare costs for patients by avoiding duplicate imaging procedures. Companies such as Ramsoft and IBM are already offering AI-enabled VNA, while Sectra has been working on AI development projects.
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