Case Study: Mount Sinai Health System improves IVC filter follow-up and patient management with Aidoc

Mount Sinai Health System finds 20-year-old IVC filter with Aidoc

Mount Sinai Health System faced the challenge of patients with forgotten or unknown IVC filters, medical devices that can cause complications if not monitored or retrieved. Many patients were unaware of the presence of these filters, creating a critical gap in follow-up care. This issue was addressed using clinical AI solutions from the vendor Aidoc.

Aidoc implemented its AI-powered technology to identify incidental mentions of IVC filters within radiology reports. In a specific case, the system flagged a 58-year-old woman who had an IVC filter in place for over two decades without her knowledge. This AI-assisted identification enabled physicians to proactively manage her care, leading to the safe removal of the filter. Aidoc's solution streamlined the clinical workflow for follow-up and retrieval, directly improving patient outcomes.

Mount Sinai Health System