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American Heart Association

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Final ID: LBP18

Utilizing Artificial Intelligence to Improve Quality and Outcomes in Stroke Care

Abstract Body:
Aim & objective
To decrease the computed tomography angiography (CTA) result to decision time from a baseline median time of 43.25 minutes by 50% over a six month period, for ischemic stroke patients who are candidates for neuro endovascular intervention using artificial intelligence.
Improvement methodology
123 PDSA
Baseline measure
Baseline data was measured by calculating the minutes from CTA scan time to interpretation by a radiologist, necessary to determine intervention eligibility. After implementing RapidAI®, the number of minutes from CTA scan to intervention activation via the platform was measured and demonstrated marked improvement. Utilizing the RapidAI® application, the neuro interventionalist is notified immediately and begins CTA interpretation, allowing treatment decisions to begin efficiently.
Changes tested
The changes tested include utilizing the RapidAI® phone application to create a more efficient, streamlined approach to prompt interpretation, communication, and intervention planning according to stroke imaging results. A Stroke Team group was created within the application, and sensitivities were adjusted so scans would alert the team when a large vessel occlusion (LVO) was detected. A standard operating procedure was created to specify the process for communication within the application. All involved parties received education, and the rapid response to LVO detection was executed. A drastic reduction in scan to result time, and therefore decision time for intervention, was noted immediately.
Results
RapidAI® helps to prioritize patients who may be candidates for emergent endovascular intervention. The artificial intelligence platform has greatly impacted our ability to provide quick intervention and preserve brain tissue while reducing the risks of permanent debility.
§Data demonstrates that by using RAPIDAI® the CTA scan to decision time was reduced by 50% or more.
§The treatment team is able to communicate all in one platform
  • Cobian, Krys  ( Methodist Mansfield Medical Center , Mansfield , Texas , United States )
  • Cochran, Rachel  ( Methodist Mansfield Medical Center , Mansfield , Texas , United States )
  • Cuttrell, Brenna  ( Methodist Mansfield Medical Center , Mansfield , Texas , United States )
  • Author Disclosures:
    Krys Cobian: DO NOT have relevant financial relationships | Rachel Cochran: DO NOT have relevant financial relationships | Brenna Cuttrell: DO NOT have relevant financial relationships
Meeting Info:
Session Info:

Late-Breaking Science Posters

Wednesday, 02/05/2025 , 07:00PM - 07:30PM

Poster Abstract Session

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