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Tina Hernandez-Boussard

Biographic Data

ID5538808
NAMETina Hernandez-Boussard
GIVEN NAMESTina
FAMILY NAMEHernandez-Boussard
SIGNATUREHERNANDEZ-BOUSSARD T
AFFILIATIONSStanford University
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2016
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Artificial intelligence/machine learning in Alaska Native healthcare systems

    Open Access•Vanessa Hiratsuka, Angelica Pritchard et al.•ARTICLE•International Journal of…•2026

    Artificial intelligence and machine learning (AI/ML) utilisation in Alaska Native and American Indian (AN/AI) healthcare presents an opportunity to address persistent health disparities and improve the well-being of Alaska Native communities. The 2025 Artificial Intelligence in Alaska Native Health Care Systems symposium occurred in Anchorage, Alaska, with 31 individuals participating in facilitated conversations between various stakeholders and …

  • Major disparities in Covid-19 test positivity for patients with non-English preferred language even after accounting for race and social factors in the United States in 2020

    Open Access•Hannah Cohen-Cline, Hsin‐Fang Li et al.•ARTICLE•BMC Public Health•2021

    People whose preferred language is not English are at greater risk of testing positive for COVID-19 regardless of age, race/ethnicity, geography, or social factors - demonstrating a significant inequity. Research demonstrates that our public health and healthcare systems are centered on English speakers, creating structural and systemic barriers to health. Addressing these barriers are long overdue and urgent for COVID-19 prevention

  • Performance Measures in Neurosurgical Patient Care

    Nuriel Moghavem, Kathryn Mcdonald et al.•ARTICLE•Medical Care•2016•References: 26

    BACKGROUND: Patient Safety Indicators (PSIs) are administratively coded identifiers of potentially preventable adverse events. These indicators are used for multiple purposes, including benchmarking and quality improvement efforts. Baseline PSI evaluation in high-risk surgeries is fundamental to both purposes. OBJECTIVE: Determine PSI rates and their impact on other outcomes in patients undergoing cranial neurosurgery compared with other surgerie…

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  • Performance Measures in Neurosurgical Patient Care

    Nuriel Moghavem, Kathryn Mcdonald et al.•ARTICLE•Medical Care•2016•References: 26

    BACKGROUND: Patient Safety Indicators (PSIs) are administratively coded identifiers of potentially preventable adverse events. These indicators are used for multiple purposes, including benchmarking and quality improvement efforts. Baseline PSI evaluation in high-risk surgeries is fundamental to both purposes. OBJECTIVE: Determine PSI rates and their impact on other outcomes in patients undergoing cranial neurosurgery compared with other surgerie…

  • Major disparities in Covid-19 test positivity for patients with non-English preferred language even after accounting for race and social factors in the United States in 2020

    Open Access•Hannah Cohen-Cline, Hsin‐Fang Li et al.•ARTICLE•BMC Public Health•2021

    People whose preferred language is not English are at greater risk of testing positive for COVID-19 regardless of age, race/ethnicity, geography, or social factors - demonstrating a significant inequity. Research demonstrates that our public health and healthcare systems are centered on English speakers, creating structural and systemic barriers to health. Addressing these barriers are long overdue and urgent for COVID-19 prevention

  • Artificial intelligence/machine learning in Alaska Native healthcare systems

    Open Access•Vanessa Hiratsuka, Angelica Pritchard et al.•ARTICLE•International Journal of…•2026

    Artificial intelligence and machine learning (AI/ML) utilisation in Alaska Native and American Indian (AN/AI) healthcare presents an opportunity to address persistent health disparities and improve the well-being of Alaska Native communities. The 2025 Artificial Intelligence in Alaska Native Health Care Systems symposium occurred in Anchorage, Alaska, with 31 individuals participating in facilitated conversations between various stakeholders and …

Health care (2 works) · Internal Medicine (2 works) · Medicine (2 works) · Adverse effect (1 work) · AI policy (1 work) · Alaska Native health (1 work) · Artificial Intelligence in Healthcare (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Benchmarking (1 work) · Biostatistics (1 work)

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