Deepthi Puram

Characterization and validation of EHR computable phenotypes for Long COVID using patient-reported symptoms: insights from the nationwide RECOVER program

Victor M Castro, Vivian Gainer, Nich Wattanasin, Andrew Cagan et autres

OBJECTIVE: Long COVID (LC) remains poorly understood, and there is a critical need for advanced computational tools to better identify and characterize patients. In this study, we use summarized symptom reports by RECOVER-Adult cohort participants linked to EHR data to characterize patients …

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Accelerating real‐world prediction and research in Alzheimer's: The M3AD study

Javier Narvaez, Moı̈se Desvarieux, Julie Johnson, Brandon Pierce et autres

Chronic diseases, including Alzheimer's disease (AD) and related dementia (ADRD), do not exist solely as isolated entities. Instead, they weave concomitant trajectories of multiple diseases, conditions, behaviors, and risks, mutually influencing each other's course and natural history, in ways yet unexplored. Electronic …

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Accelerating real‐world prediction and research in Alzheimer's: The M3AD study

Moı̈se Desvarieux, Tatjana Rundek, Habibul Ahsan, Javier Narvaez et autres

Chronic diseases, including Alzheimer's disease (AD) and related dementia (ADRD), do not exist solely as isolated entities. Instead, they weave concomitant trajectories of multiple diseases, conditions, behaviors, and risks, mutually influencing each other's course and natural history, in ways yet unexplored. Electronic …

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Abstract DP192: Association of Endovascular Thrombectomy With Mortality and Functional Outcomes in Large Ischemic Core: Analysis of Linked RAPID AI and Florida Stroke Registry data

Aaron Rodriguez Calienes, S.P. Kalra, Farya Fakoori, Natalie O. Zaba et autres

Introduction: Six randomized clinical trials have shown that endovascular thrombectomy (EVT) reduces mortality and improves clinical outcomes in patients with large-core anterior circulation ischemic stroke. Whether these benefits extend to routine practice outside strict trial criteria remains uncertain. This study evaluates in-hospital …

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Abstract TP259: Enhancing Stroke Analytics via Data Linkage: Lessons from Florida Stroke Registry and RAPID-AI

Farya Fakoori, S.P. Kalra, Natalie O. Zaba, Sai Himaja Kodali et autres

Background: Stroke care data come from multiple sources, each capturing different aspects of care. The Florida Stroke Registry (FSR), a statewide quality improvement initiative using Get With The Guidelines–Stroke data, partners with hospitals many of which utilize RAPID AI, an advanced platform …

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Abstract WP242: Predictors of Endovascular Thrombectomy Utilization in Clinical Practice: Analysis of Linked Florida Stroke Registry and RAPID AI Data

Julia Houshmand, S.P. Kalra, Natalie O. Zaba, Farya Fakoori et autres

Introduction: Endovascular thrombectomy (EVT) is an effective treatment for acute ischemic stroke from large vessel occlusion, supported by strong evidence across imaging profiles and time windows. Understanding how routine care adapts to evolving guidelines, emerging trial data, and expanded imaging access is …

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OneFlorida Certified Database 02/09/2026

Donald Weinbrenner, Catherine Hunter, Beth Kidder, Temple Robinson et autres

OneFlorida certified database as of 02/09/2026. Contains data from 01/01/2012 through 08/31/2025.

OneFlorida+ Certified Database Cycle 19, Refresh 2

Donald Weinbrenner, Catherine Hunter, Beth Kidder, Temple Robinson et autres

OneFlorida+ certified database as of 08/05/2026. Contains data from 01/01/2012 through 02/28/2026.