Search Results - "Foss, Randy"

Artificial intelligence–enabled electrocardiograms for identification of patients with low ejection fraction: a pragmatic, randomized clinical trial by Yao, Xiaoxi, Rushlow, David R., Inselman, Jonathan W., McCoy, Rozalina G., Thacher, Thomas D., Behnken, Emma M., Bernard, Matthew E., Rosas, Steven L., Akfaly, Abdulla, Misra, Artika, Molling, Paul E., Krien, Joseph S., Foss, Randy M., Barry, Barbara A., Siontis, Konstantinos C., Kapa, Suraj, Pellikka, Patricia A., Lopez-Jimenez, Francisco, Attia, Zachi I., Shah, Nilay D., Friedman, Paul A., Noseworthy, Peter A.

“…We have conducted a pragmatic clinical trial aimed to assess whether an electrocardiogram (ECG)-based, artificial intelligence (AI)-powered clinical decision…”
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Clinician Adoption of an Artificial Intelligence Algorithm to Detect Left Ventricular Systolic Dysfunction in Primary Care by Rushlow, David R., Croghan, Ivana T., Inselman, Jonathan W., Thacher, Tom D., Friedman, Paul A., Yao, Xiaoxi, Pellikka, Patricia A., Lopez-Jimenez, Francisco, Bernard, Matthew E., Barry, Barbara A., Attia, Itzhak Z., Misra, Artika, Foss, Randy M., Molling, Paul E., Rosas, Steven L., Noseworthy, Peter A.

“…Objective: To compare the clinicians' characteristics of "high adopters" and "low adopters" of an artificial intelligence (AI)--enabled electrocardiogram (ECG)…”
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Arsenic Exposure in Well Water From the Perspective of Patients and Providers by Jegen, Dominika, Maxson, Julie, Fischer, Karen, Bernard, Matthew, Foss, Randy, Hidaka, Brandon, Passmore, Rachael, Sosso, Jessica, Stacey, Stephen K, Thacher, Tom D

“…Arsenic is a well-known toxin which may contaminate household water. It is harmful when ingested over prolonged periods of time. As a result, public health…”
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Incidence of Respiratory Syncytial Virus in Community-Dwelling Adults Aged 18-64 Years Over 2 Seasons, 2022-2024, in a North American Community by Bosch, Wendelyn, Speiser, Lisa J, Wi, Chung-Il, King, Katherine S, Natoli, Traci L, Ihrke, Kathy D, Spiten, Matthew J, Binnicker, Matthew J, Yao, Joseph D, Takahashi, Paul Y, Pignolo, Robert J, Hidaka, Brandon H, Foss, Randy M, Pirçon, Jean-Yves, Saeedi, Pouya, Oujaa, Mohamed, Juhn, Young J

“…The incidence of respiratory syncytial virus (RSV)-acute respiratory infection (ARI) in community-dwelling adults after the Omicron variant of the COVID-19…”
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Clinician Care Team Composition and Health Care Utilization by Bernard, Matthew E., Laabs, Susan B., Nagaraju, Darshan, Allen, Summer V., Halasy, Michael P., Rushlow, David R., Garrison, Gregory M., Maxson, Julie A., Matthews, Marc R., Sobolik, Gerald J., Lampman, Michelle A., Foss, Randy M., Rosas, Steven L., Thacher, Tom D.

“…To test the hypothesis that a greater proportion of physician time on primary care teams are associated with decreased emergency department (ED) visits,…”
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Correlation between Social Determinants of Health and Attainment of Quality Metrics in a Rural Wisconsin Clinic by Sosso, Jessica, Lampman, Michelle, Fischer, Karen, Sobolik, Gerald, Foss, Randy, Bernard, Matthew, Garrison, Gregory, Laabs, Susan, Allen, Summer, Thacher, Thomas

“…Context: Social Determinants of Health (SDOH) contribute significantly to health outcomes such as chronic disease management and screening test completion…”
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Diabetic Disparity: Rural/Urban Differences in Quality Outcomes within a Large Health System by Foss, Randy, Lampman, Michelle, Bernard, Matthew, Laabs, Susan, Sosso, Jessica, Garrison, Gregory, Thacher, Thomas, Allen, Summer, Fischer, Karen

“…Context: Type 2 diabetes mellitus continues to grow as a national health priority that disproportionately affects rural patients. Objective: To compare patient…”
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Disparities in Diabetes Care: Differences Between Rural and Urban Patients Within a Large Health System by Foss, Randy, Fischer, Karen, Lampman, Michelle A, Laabs, Susan, Halasy, Michael, Allen, Summer V, Garrison, Gregory M, Sobolik, Gerald, Bernard, Matthew, Sosso, Jessica, Thacher, Tom D

“…We sought to ascertain factors associated with the quality of diabetes care, comparing rural vs urban diabetic patients in a large health care system. We…”
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Abstract 9213: Effect of Ai-Enabled Ecg Screening for Low Ef in Patients With Different Socioeconomic Status by Kurani, Shaheen, Inselman, Jonathan, Rushlow, David R, McCoy, Rozalina G, Thacher, Thomas, Behnken, Emma, Bernard, Matthew, Rosas, Steven L, Akfaly, Abdulla, Misra, Artika, Molling, Paul, Krien, Joseph, Foss, Randy, Barry, Barbara, Siontis, Konstantinos, Kapa, Suraj, Gersh, Bernard J, Pellikka, Patricia A, Lopez-jimenez, Francisco, Attia, Zachi, Halamka, John D, Friedman, Paul, Noseworthy, Peter A, Yao, Xiaoxi

“…IntroductionAsymptomatic LV systolic dysfunction is often underdiagnosed, leading to missed opportunities for treatment. In a recently completed pragmatic RCT,…”
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ARTIFICIAL INTELLIGENCE-ENHANCED ECG IDENTIFICATION OF PREVIOUSLY UNRECOGNIZED CARDIOVASCULAR DISEASES by Yao, Xiaoxi, Rushlow, David, Inselman, Jonathan, McCoy, Rozalina, Thacher, Thomas, Behnken, Emma, Bernard, Matthew, Rosas, Steven, Akfaly, Abdulla, Artika, Fnu, Molling, Paul, Krien, Joseph, Foss, Randy, Barry, Barbara, Siontis, Konstantinos, Kapa, Suraj, Pellikka, Patricia, Lopez-Jimenez, Francisco, Attia, Zachi Itzhak, Shah, Nilay, Friedman, Paul, Noseworthy, Peter

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Artificial Intelligence‐Enhanced ECG Identification of Low Ejection Fraction: A Pragmatic, Cluster‐Randomized Clinical Trial by Yao, Xiaoxi, Rushlow, David, Inselman, Jonathan, McCoy, Rozalina, Thacher, Thomas, Behnken, Emma, Bernard, Matthew, Rosas, Steven, Akfaly, Abdulla, Misra, Artika, Molling, Paul, Krien, Joseph, Foss, Randy, Barry, Barbara, Siontis, Konstantinos, Kapa, Suraj, Pellikka, Patricia, Lopez‐Jimenez, Francisco, Attia, Zachi, Shah, Nilay, Friedman, Paul, Noseworthy, Peter

“…Research Objective An artificial intelligence (AI) algorithm based on ECG was integrated into clinical workflows to identify patients with a high likelihood of…”
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