Viz.ai uses artificial intelligence to aid in the early detection of suspected large vessel occlusions and timely involvement of stroke specialists. Earlier participation of stroke specialists has the potential to improve the likelihood and speed of making treatment decisions, as well as enabling more efficient stroke workflow and lowering lifetime costs of care.
I have seen Viz play a critical role coordinating care during this crisis; reducing time to treatment, improving outcomes, increasing access to care and helping our system recover economically. By helping coordinate care through optimizing workflows, Viz helps transfer the right patients, increased mechanical thrombectomy rates and reduces length of stay.
Health systems can capture potential missed revenue opportunities by detecting and treating more large vessel occlusions that already exist in their geographic catchment area. See the opportunity at a single hub and spoke network.
*Based on anonymized data from a single hub and spoke network. Untreated LVOs assumed to be 30% of total stroke volume subtracted by volume of mechanical thrombectomy $28,100 is the average reimbursement for mechanical thrombectomy (MS-DRG 23/24).
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