Modeling optimal patient transport in a stroke network capable of remote telerobotic endovascular therapy.

ABSTRACT:

Background

Telerobotic endovascular therapy (EVT) has the potential to decrease time to treatment and expand existing networks of care to more rural populations. It is currently unclear how its implementation would impact existing stroke networks.

Methods

Conditional probability models were generated to predict the probability of excellent outcome for patients with suspected large vessel occlusion (LVO). A baseline stroke network was created for California using existing intravenous thrombolysis (IVT) centers and comprehensive stroke centers (CSCs) capable of IVT and EVT. Optimal transport decisions and catchment areas were generated for the baseline model and three hypothetical scenarios through conversion of IVT centers at various distances from a CSC into centers capable

SUBMITTER: Beaman C 

PROVIDER: S-EPMC11475389 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature