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Jiyoun Song

Biographic Data

ID5537732
NAMEJiyoun Song
GIVEN NAMESJiyoun
FAMILY NAMESong
SIGNATURESONG J
AFFILIATIONSUniversity of Pennsylvania School of Nursing, NewCourtland Center for Transitions and Health, Philadelphia, PA
ORCID0000-0003-0362-0670
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS0
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2026
H-INDEX0
  • How crucial is research philosophy in designing an AI study in medical education?

    Open Access•Samy A Azer, Jiyoun Song et al.•ARTICLE•BMC Medical Education•2026

  • A Person-Centered Exploration of Mental and Cognitive Health Risk Profiles in Community-Dwelling Older Adults

    Open Access•Se Hee Min, Seul Ki Choi et al.•ARTICLE•Journal of Aging and Health•2026

    IntroductionThis study extends prior work by identifying multidimensional profiles of co-occurring mental health and cognitive symptoms that better reflect the complexity of aging and identify high-risk subgroups with more severe symptom profiles.MethodsThis secondary analysis used Wave II data from the National Social Life, Health, and Aging Project (NSHAP). Latent profile analysis was conducted to identify distinct symptom profiles and examine …

  • The ChatGPT Effect

    Maxim Topaz, Kate Lee et al.•ARTICLE•Journal of Nursing Education•2025

    This article examines the potential of generative artificial intelligence (AI), such as ChatGPT (Chat Generative Pre-trained Transformer), in nursing education and the associated challenges and recommendations for their use. Generative AI offers potential benefits such as aiding students with assignments, providing realistic patient scenarios for practice, and enabling personalized, interactive learning experiences. However, integrating generativ…

  • Response to Letter to the Editor by Drs Goyal and Taylor

    Sang Bin You, Jiyoun Song et al.•ARTICLE•Medical Care•2025•References: 3

  • Characteristics and Readmission Risks Following Sepsis Discharges to Home

    Sang Bin You, Jiyoun Song et al.•ARTICLE•Medical Care•2024•References: 36

    OBJECTIVE: To examine the characteristics and risk factors associated with 30-day readmissions, including the impact of home health care (HHC), among older sepsis survivors transitioning from hospital to home. RESEARCH DESIGN: Retrospective cohort study of the Medical Information Mart for Intensive Care (MIMIC)-IV data (2008-2019), using generalized estimating equations (GEE) models adjusting for patient sociodemographic and clinical characterist…

  • Individual, social, and environmental factors for infection risk among home healthcare patients

    Open Access•David Russell, Dawn Dowding et al.•ARTICLE•Health & Social Care in the…•2021

    There has been limited research into the individual, social, and environmental factors for infection risk among patients in the home healthcare (HHC) setting, where the infection is a leading cause of hospitalisation. The aims of this study were to (1) explore nurse perceptions of individual, social, and environmental factors for infection risk among HHC patients; and (2) identify the frequency of environmental barriers to infection prevention an…

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  • Individual, social, and environmental factors for infection risk among home healthcare patients

    Open Access•David Russell, Dawn Dowding et al.•ARTICLE•Health & Social Care in the…•2021

    There has been limited research into the individual, social, and environmental factors for infection risk among patients in the home healthcare (HHC) setting, where the infection is a leading cause of hospitalisation. The aims of this study were to (1) explore nurse perceptions of individual, social, and environmental factors for infection risk among HHC patients; and (2) identify the frequency of environmental barriers to infection prevention an…

  • Characteristics and Readmission Risks Following Sepsis Discharges to Home

    Sang Bin You, Jiyoun Song et al.•ARTICLE•Medical Care•2024•References: 36

    OBJECTIVE: To examine the characteristics and risk factors associated with 30-day readmissions, including the impact of home health care (HHC), among older sepsis survivors transitioning from hospital to home. RESEARCH DESIGN: Retrospective cohort study of the Medical Information Mart for Intensive Care (MIMIC)-IV data (2008-2019), using generalized estimating equations (GEE) models adjusting for patient sociodemographic and clinical characterist…

  • The ChatGPT Effect

    Maxim Topaz, Kate Lee et al.•ARTICLE•Journal of Nursing Education•2025

    This article examines the potential of generative artificial intelligence (AI), such as ChatGPT (Chat Generative Pre-trained Transformer), in nursing education and the associated challenges and recommendations for their use. Generative AI offers potential benefits such as aiding students with assignments, providing realistic patient scenarios for practice, and enabling personalized, interactive learning experiences. However, integrating generativ…

  • Response to Letter to the Editor by Drs Goyal and Taylor

    Sang Bin You, Jiyoun Song et al.•ARTICLE•Medical Care•2025•References: 3

  • How crucial is research philosophy in designing an AI study in medical education?

    Open Access•Samy A Azer, Jiyoun Song et al.•ARTICLE•BMC Medical Education•2026

  • A Person-Centered Exploration of Mental and Cognitive Health Risk Profiles in Community-Dwelling Older Adults

    Open Access•Se Hee Min, Seul Ki Choi et al.•ARTICLE•Journal of Aging and Health•2026

    IntroductionThis study extends prior work by identifying multidimensional profiles of co-occurring mental health and cognitive symptoms that better reflect the complexity of aging and identify high-risk subgroups with more severe symptom profiles.MethodsThis secondary analysis used Wave II data from the National Social Life, Health, and Aging Project (NSHAP). Latent profile analysis was conducted to identify distinct symptom profiles and examine …

Medicine (3 works) · Computer Science (2 works) · Intensive care medicine (2 works) · Intensive Care Unit Cognitive Disorders (2 works) · Nursing (2 works) · Psychological intervention (2 works) · Psychology (2 works) · Sepsis Diagnosis and Treatment (2 works) · Alcohol consumption (1 work) · Artificial Intelligence (1 work)

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