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. 2023 Dec;29(6):631-636.
doi: 10.1177/15910199221122848. Epub 2022 Aug 25.

The implementation of artificial intelligence significantly reduces door-in-door-out times in a primary care center prior to transfer

Ameer E Hassan  1   2 , Victor M Ringheanu  1 , Wondwossen G Tekle  1   2
Affiliations

The implementation of artificial intelligence significantly reduces door-in-door-out times in a primary care center prior to transfer

Ameer E Hassan et al. Interv Neuroradiol. 2023 Dec.

Abstract

Introduction: Viz LVO artificial intelligence (AI) software utilizes AI-powered large vessel occlusion (LVO) detection technology which automatically identifies suspected LVO through CT angiogram (CTA) imaging and alerts on-call stroke teams. This analysis was performed to determine whether AI software can reduce the door-in-door-out (DIDO) time interval within the primary care center (PSC) prior to transfer to the comprehensive care center (CSC).

Methods: We compared the DIDO time interval for all LVO transfer patients from a single-spoke PSC to our CSC prior to (February 2017 to November 2018) and after (November 2018 to June 2020) incorporating AI. Using a stroke database at a CSC, demographics, DIDO time at PSC, modified Rankin Scale (mRS) at 90-days, mortality rate at discharge, length of stay (LOS), and intracranial hemorrhage rates were examined.

Results: There were a total of 63 patients during the study period (average age 69.99 ± 13.72, 55.56% female). We analyzed 28 patients pre-AI (average age 71.64 ± 12.28, 46.4% female), and 35 patients post-AI (average age 68.67 ± 14.88, 62.9% female). After implementing the AI software, the mean DIDO time interval within the PSC significantly improved by 102.3 min (226.7 versus 124.4 min; p = 0.0374).

Conclusion: The incorporation of the AI software was associated with a significant improvement in DIDO times within the PSC as well as CTA to door-out time in the PSC. More extensive studies are warranted to expand on the ability of AI technology to improve transfer times and outcomes for LVO patients.

Keywords: artificial intelligence; stroke; thrombectomy; thrombolysis.

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Figures

Figure 1.
Figure 1.
Depiction of the door-in-door-out patient triage in the primary care center prior to and after the implementation of the artificial intelligence software.
See this image and copyright information in PMC

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