CHI Memorial reduces LVO diagnosis time by 44% and projects $36.7M reimbursement benefit with Viz.ai stroke coordination

CHI Memorial deployed Machine Learning & Predictive Analytics for Patient Flow & Hospital Operations in Hospital & Health System. As reported by evtoday.com: 44.13% door-to-lvo-diagnosis time reduction.

Maintained by Peter Korpak, Lead EditorHow evidence is checked
44.13%Door-to-LVO-Diagnosis Time Reduction
$36.7 millionProjected PSC Reimbursement Shift

Source-reported figures (cited source: evtoday.com)

What CHI Memorial was trying to fix

Primary stroke care (PSC) centers were losing patients to unnecessary transfers, reducing both care quality and financial sustainability. Identifying large vessel occlusion (LVO) strokes quickly and coordinating care across facilities was a persistent operational challenge.

What CHI Memorial deployed

CHI Memorial implemented Viz.ai's AI-powered stroke care coordination platform (Viz LVO) to detect intracranial LVO and coordinate the care team in real time, reducing unnecessary inter-facility transfers and accelerating time to endovascular therapy.

Results

The study demonstrated a 44.13% reduction in time from patient arrival to LVO diagnosis and first contact with the treating endovascular surgeon. Financial modeling based on the platform's impact projects a $36.7 million reimbursement shift to PSC centers by retaining appropriately treated patients locally.

Key Takeaways

  • AI-powered stroke coordination can simultaneously improve clinical outcomes and hospital finances by reducing futile transfers.
  • Keeping patients at the right level of care, rather than defaulting to transfer, benefits patients, families, and care teams.
  • Workflow improvements enabled by AI translate directly into reduced lengths of stay.

Evidence for CHI Memorial's Patient Flow & Hospital Operations deployment

Reported outcome metrics
2 cited below
Cited source
evtoday.com
Last updated
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